Suprio Ray
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- BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data) (3)
- BDCAT '21: Proceedings of the 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies (1)
- BiDEDE '24: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (1)
- BigSpatial '18: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (1)
- GeoRich '16: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data (1)
- HEART '24: Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (1)
- ICDE '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering (1)
- IDEAS '18: Proceedings of the 22nd International Database Engineering & Applications Symposium (1)
- IWGS '13: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming (1)
- LocalRec'18: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks (1)
- SIGSPATIAL '12: Proceedings of the 20th International Conference on Advances in Geographic Information Systems (1)
- SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (1)
- SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems (1)
- SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems (1)
- SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (1)
- SSDBM '14: Proceedings of the 26th International Conference on Scientific and Statistical Database Management (1)
- SSDBM '20: Proceedings of the 32nd International Conference on Scientific and Statistical Database Management (1)
- SSTD '21: Proceedings of the 17th International Symposium on Spatial and Temporal Databases (1)
- SSTD '23: Proceedings of the 18th International Symposium on Spatial and Temporal Data (1)
- STCausal '24: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis (1)
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- short-paperPublished By ACMPublished By ACM
Query Compilation based Distributed Morsel-driven Parallel Spatial Query Processing
- Rahul Sahni
University of New Brunswick, Fredericton, Canada
, - Xiaozheng Zhang
University of New Brunswick, Fredericton, Canada
, - Sudip Chatterjee
University of New Brunswick, Fredericton, Canada
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems•October 2024, pp 589-592• https://doi.org/10.1145/3678717.3691289Driven by the need to support spatial data applications, most relational databases offer spatial SQL query features. However, traditional relational databases are not scalable, and their query processing follows a pull-based tuple-at-a-time model, which ...
- 0Citation
- 32
- Downloads
MetricsTotal Citations0Total Downloads32Last 12 Months32Last 6 weeks32
- Rahul Sahni
- research-articleOpen AccessPublished By ACMPublished By ACM
Rail transit delay forecasting with Causal Machine Learning
- Nishtha Srivastava
Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
, - Bhavesh N. Gohil
Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
STCausal '24: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis•October 2024, pp 1-10• https://doi.org/10.1145/3681778.3698784The rapid evolution of public transport and advances in analytics have significantly transformed the way we enhance transit services. Rail transit systems, celebrated for their comfort, speed, and minimal environmental impact, face ongoing challenges due ...
- 0Citation
- 115
- Downloads
MetricsTotal Citations0Total Downloads115Last 12 Months115Last 6 weeks55
- Nishtha Srivastava
- review-article
A survey on Persistent Memory indexes: Recent advances, challenges and opportunities
- Supriya Mishra
Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, India
, - Bhavesh N. Gohil
Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, India
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
Journal of Systems Architecture: the EUROMICRO Journal, Volume 151, Issue C•Jun 2024 • https://doi.org/10.1016/j.sysarc.2024.103140AbstractThe Non-volatile Memory (NVM) technology belongs to a novel class of storage devices that offer byte-addressability like DRAM and durability as in persistent storage. The NVM is known as Storage Class Memory (SCM), Non-volatile RAM (NVRAM), or ...
- 0Citation
MetricsTotal Citations0
- Supriya Mishra
- research-articleOpen AccessPublished By ACMPublished By ACM
Learned Index Acceleration with FPGAs: A SMART Approach
- Geetesh More
University of New Brunswick, Canada
, - Suprio Ray
University of New Brunswick, Canada
, - Kenneth B. Kent
University of New Brunswick, Canada
HEART '24: Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies•June 2024, pp 71-80• https://doi.org/10.1145/3665283.3665287Indexes in database systems such as B+trees and hash tables are designed for fast data retrieval. These are created on columns of a table and serve as a pointer to map a key to the position of a record on a table. Much research has been conducted on ...
- 0Citation
- 188
- Downloads
MetricsTotal Citations0Total Downloads188Last 12 Months188Last 6 weeks38
- Geetesh More
- research-articlePublished By ACMPublished By ACM
Authenticated Range Querying of Historical Blockchain Healthcare Data Using Authenticated Multi-Version Index
- Shlomi Linoy
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Natalia Stakhanova
Department of Computer Science, University of Saskatchewan, Saskatoon, Canada
, - Erik Scheme
Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada
Distributed Ledger Technologies: Research and Practice, Volume 3, Issue 2•June 2024, Article No.: 15, pp 1-31 • https://doi.org/10.1145/3624575With growing adoption of blockchain in established and emerging applications, there is an increasing need to support efficient ad hoc querying of authenticated historical data. This is especially true in fields such as healthcare to meet the rigorous ...
- 0Citation
- 283
- Downloads
MetricsTotal Citations0Total Downloads283Last 12 Months166Last 6 weeks9
- Shlomi Linoy
- research-articlePublished By ACMPublished By ACM
FunDa: Towards Serverless Data Analytics and In Situ Query Processing
- Suvam Kumar Das
Faculty of Computer Science, University of New Brunswick, Canada
, - Ronnit Peter
Faculty of Computer Science, University of New Brunswick, Canada
, - Xiaozheng Zhang
Faculty of Computer Science, University of New Brunswick, Canada
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Canada
BiDEDE '24: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments•June 2024, Article No.: 2, pp 1-6• https://doi.org/10.1145/3663741.3664788Serverless is a cloud computing paradigm that offers unique advantages to the users due to its pay-what-you-use model. It is particularly suitable for running ephemeral short running tasks. However, this framework is not well-suited for stateful long ...
- 0Citation
- 86
- Downloads
MetricsTotal Citations0Total Downloads86Last 12 Months86Last 6 weeks5
- Suvam Kumar Das
- research-article
Compilation of SQL Queries for Efficient Distributed In-Memory Processing
- Sudip Chatterjee
University of New Brunswick, Fredericton, New Brunswick, Canada
, - Shubh Sharma
University of New Brunswick, Fredericton, New Brunswick, Canada
, - Nithin Ivan
University of New Brunswick, Fredericton, New Brunswick, Canada
, - Saumya Verma
University of New Brunswick, Fredericton, New Brunswick, Canada
, - Suprio Ray
University of New Brunswick, Fredericton, New Brunswick, Canada
, - Mark Stoodley
IBM, Markham, Ontario, Canada
, - Calisto Zuzarte
IBM, Markham, Ontario, Canada
, - Ian Finlay
IBM, Markham, Ontario, Canada
CASCON '23: Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering•September 2023, pp 149-154A query processing engine is the core component of any modern database system. There are several types of query processing en-gines that employ different query processing techniques. The speed of data-driven decision-making and analytics is crucial to ...
- 0Citation
- 33
- Downloads
MetricsTotal Citations0Total Downloads33Last 12 Months20Last 6 weeks1
- Sudip Chatterjee
- research-article
Efficient and Privacy-Preserving Spatial Keyword Similarity Query Over Encrypted Data
- Songnian Zhang
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Rongxing Lu
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Yunguo Guan
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Yandong Zheng
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China
, - Jun Shao
School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
IEEE Transactions on Dependable and Secure Computing, Volume 20, Issue 5•Sept.-Oct. 2023, pp 3770-3786 • https://doi.org/10.1109/TDSC.2022.3227141As a popular and practical query type in location-based services, the spatial keyword query has been extensively studied in both academia and industry. Meanwhile, with the growing demand for data privacy, many privacy-preserving spatial keyword query ...
- 7Citation
MetricsTotal Citations7
- Songnian Zhang
- short-paperPublished By ACMPublished By ACM
Scalable Spatial Analytics and In Situ Query Processing in DaskDB
- Suvam Kumar Das
Faculty of Computer Science, University of New Brunswick, CA
, - Ronnit Peter
Faculty of Computer Science, University of New Brunswick, CA
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, CA
SSTD '23: Proceedings of the 18th International Symposium on Spatial and Temporal Data•August 2023, pp 189-193• https://doi.org/10.1145/3609956.3609978Vast amounts of data are stored in raw data files. Data scientists and practitioners typically use data science frameworks for data analysis on raw data. Among them, Python Pandas library is one of the most popular language-based frameworks. On the ...
- 1Citation
- 65
- Downloads
MetricsTotal Citations1Total Downloads65Last 12 Months33Last 6 weeks1
- Suvam Kumar Das
- surveyPublished By ACMPublished By ACM
Data Provenance in Security and Privacy
- Bofeng Pan
University of Saskatchewan
, - Natalia Stakhanova
University of Saskatchewan
, - Suprio Ray
University of New Brunswick
ACM Computing Surveys, Volume 55, Issue 14s•December 2023, Article No.: 323, pp 1-35 • https://doi.org/10.1145/3593294Provenance information corresponds to essential metadata that describes the entities, users, and processes involved in the history and evolution of a data object. The benefits of tracking provenance information have been widely understood in a variety of ...
- 15Citation
- 1,989
- Downloads
MetricsTotal Citations15Total Downloads1,989Last 12 Months898Last 6 weeks136
- Bofeng Pan
- research-article
Towards Efficient and Privacy-Preserving User-Defined Skyline Query Over Single Cloud
- Songnian Zhang
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Rongxing Lu
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Yandong Zheng
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Yunguo Guan
Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
, - Jun Shao
School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
IEEE Transactions on Dependable and Secure Computing, Volume 20, Issue 2•March-April 2023, pp 1319-1334 • https://doi.org/10.1109/TDSC.2022.3153790Skyline queries, especially those variants that allow users to define their own query criteria, are very promising and practical techniques in multi-criteria decision making applications. Meanwhile, the growing data volume drives the service providers to ...
- 9Citation
MetricsTotal Citations9
- Songnian Zhang
- research-article
Towards Efficient and Privacy-Preserving Interval Skyline Queries Over Time Series Data
- Songnian Zhang
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Suprio Ray
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Rongxing Lu
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Yandong Zheng
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Yunguo Guan
Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
, - Jun Shao
School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
IEEE Transactions on Dependable and Secure Computing, Volume 20, Issue 2•March-April 2023, pp 1348-1363 • https://doi.org/10.1109/TDSC.2022.3153759Outsourcing encrypted time series data and query services to a cloud has been widely adopted by data owners for economic considerations. However, it inevitably lowers data utility and query efficiency. Existing secure skyline query schemes either leak ...
- 4Citation
MetricsTotal Citations4
- Songnian Zhang
- short-paperPublished By ACMPublished By ACM
Verification Based Scheme to Restrict IoT Attacks
- Barjinder Kaur
University of New Brunswick, Canada
, - Sajjad Dadkhah
University of New Brunswick, Canada
, - Pulei Xiong
Cybersecurity, National Research Council, Canada
, - Shahrear Iqbal
National Research Council, Canada
, - Suprio Ray
University of New Brunswick, Canada
, - Ali A. Ghorbani
University of New Brunswick, Canada
BDCAT '21: Proceedings of the 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies•December 2021, pp 63-68• https://doi.org/10.1145/3492324.3494170In recent years, with the increased usage of the Internet of Things (IoT) devices, cyber-attacks have become a serious threat over the Internet. These devices have low memory capacity and processing power, which makes them easy targets for attackers. ...
- 2Citation
- 107
- Downloads
MetricsTotal Citations2Total Downloads107Last 12 Months13Last 6 weeks2
- Barjinder Kaur
- research-article
Spatio-Temporal Similarity based Privacy-Preserving Worker Selection in Mobile Crowdsensing
- Xichen Zhang
University of New Brunswick,Canadian Institute for Cybersecurity, Faculty of Computer Science,Fredericton,NB,Canada
, - Rongxing Lu
University of New Brunswick,Canadian Institute for Cybersecurity, Faculty of Computer Science,Fredericton,NB,Canada
, - Suprio Ray
University of New Brunswick,Canadian Institute for Cybersecurity, Faculty of Computer Science,Fredericton,NB,Canada
, - Jun Shao
School of Computer and Information Engineering, Zhejiang Gongshang University,Hangzhou,China,310018
, - Ali A. Ghorbani
University of New Brunswick,Canadian Institute for Cybersecurity, Faculty of Computer Science,Fredericton,NB,Canada
2021 IEEE Global Communications Conference (GLOBECOM)•December 2021, pp 1-6• https://doi.org/10.1109/GLOBECOM46510.2021.9685450As one of the most fundamental problems in mobile crowdsensing (MCS), worker selection has drawn significant attention in recent years. However, very few studies consider the workers' spatio- and temporal-coverage for the sensing task. In this ...
- 0Citation
MetricsTotal Citations0
- Xichen Zhang
- research-article
Towards just-in-time compilation of SQL queries with OMR JitBuilder
- Debajyoti Datta
University of New Brunswick, Fredericton, Canada
, - Mark Stoodley
IBM Canada, Markham, Canada
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering•November 2021, pp 256-261The evaluation of SQL expressions and tuple materialization can consume a significant portion of the overall execution time of a query. The goal of our work is to generate efficient machine code for scan, filter, join and group-by operations for a given ...
- 2Citation
- 30
- Downloads
MetricsTotal Citations2Total Downloads30
- Debajyoti Datta
- research-articlePublished By ACMPublished By ACM
SPRIG: A Learned Spatial Index for Range and kNN Queries
- Songnian Zhang
University of New Brunswick, Canada
, - Suprio Ray
University of New Brunswick, Canada
, - Rongxing Lu
University of New Brunswick, Canada
, - Yandong Zheng
University of New Brunswick, Canada
SSTD '21: Proceedings of the 17th International Symposium on Spatial and Temporal Databases•August 2021, pp 96-105• https://doi.org/10.1145/3469830.3470892A corpus of recent work has revealed that the learned index can improve query performance while reducing the storage overhead. It potentially offers an opportunity to address the spatial query processing challenges caused by the surge in location-based ...
- 18Citation
- 648
- Downloads
MetricsTotal Citations18Total Downloads648Last 12 Months128Last 6 weeks13
- Songnian Zhang
- posterPublished By ACMPublished By ACM
NUMA-Aware Spatio-Textual Similarity Join
- Saransh Gautam
University of New Brunswick, Fredericton, Canada
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
, - Bradford G. Nickerson
University of New Brunswick, Fredericton, Canada
SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems•November 2020, pp 139-142• https://doi.org/10.1145/3397536.3422227Spatio-textual similarity join is an operation for finding documents, which are both spatially close and textually relevant. Joins in databases are considered to be the most expensive operation; similarly spatio-textual similarity join is a resource ...
- 1Citation
- 68
- Downloads
MetricsTotal Citations1Total Downloads68Last 12 Months12Last 6 weeks2
- Saransh Gautam
- research-articlePublished By ACMPublished By ACM
STILT: Unifying Spatial, Temporal and Textual Search using a Generalized Multi-dimensional Index
- Yoann Arseneau
University of New Brunswick Fredericton
, - Saransh Gautam
University of New Brunswick Fredericton
, - Bradford Nickerson
University of New Brunswick Fredericton
, - Suprio Ray
University of New Brunswick Fredericton
SSDBM '20: Proceedings of the 32nd International Conference on Scientific and Statistical Database Management•July 2020, Article No.: 11, pp 1-12• https://doi.org/10.1145/3400903.3400927The proliferation of location-enabled sensors, smart phones, and the power of digital messaging combined with social media platforms is producing a deluge of multi-dimensional data. Novel index structures are needed to efficiently process massive ...
- 4Citation
- 126
- Downloads
MetricsTotal Citations4Total Downloads126Last 12 Months16Last 6 weeks1
- Yoann Arseneau
- research-article
Research challenges in query processing and data analytics on the edge
- Blesson Varghese
Queen's University Belfast, UK
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
, - Bhavesh N. Gohil
Sardar Vallabhbhai National Institute of Technology, India
, - Sergio Vega
Virtalus
CASCON '19: Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering•November 2019, pp 317-322The accelerated growth of data has made efficient query processing and data analytics more important than ever. While the Cloud has provided an excellent underpinning solution to store, manage and process data, it is becoming increasingly difficult, as ...
- 0Citation
- 58
- Downloads
MetricsTotal Citations0Total Downloads58Last 12 Months3Last 6 weeks1
- Blesson Varghese
- research-articlePublished By ACMPublished By ACM
A Performance Study of Big Spatial Data Systems
- Md Mahbub Alam
University of New Brunswick, Fredericton, Canada
, - Suprio Ray
University of New Brunswick, Fredericton, Canada
, - Virendra C. Bhavsar
University of New Brunswick, Fredericton, Canada
BigSpatial '18: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data•November 2018, pp 1-9• https://doi.org/10.1145/3282834.3282841With the accelerated growth in spatial data volume, being generated from a wide variety of sources, the need for efficient storage, retrieval, processing and analyzing of spatial data is ever more important. Hence, spatial data processing system has ...
- 9Citation
- 267
- Downloads
MetricsTotal Citations9Total Downloads267Last 12 Months21Last 6 weeks1
- Md Mahbub Alam
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner