article

An ego-centric citation analysis of the works of Michael O. Rabin based on multiple citation indexes

Author:

Judit Bar-IlanAuthors Info & Claims

Information Processing and Management: an International Journal, Volume 42, Issue 6

Pages 1553 - 1566

https://doi.org/10.1016/j.ipm.2006.03.019

Published: 01 December 2006 Publication History

Abstract

The primary goal of this study was to carry out an ego-centric citation and reference analysis of the works of the mathematician and computer scientist, Michael O. Rabin. Until recently only a single citation database was available for such research-the ISI Citation Indexes. In this study we utilized and compared three major sources that provide citation data: the Web of Science, Google Scholar and Citeseer. Most cited works, citation identity, citation image makers and coauthors were identified. The citation image makers acquired through these sources differ considerably. Advantages and shortcomings of each of the tools are discussed in the context of computer science. A major issue in computer science is multiple manifestations of a work, i.e., its publication in several venues (technical reports, proceedings, journals, collections). The implications of multiple manifestations for citation analysis are discussed.

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Cited By

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Huang YBu YDing YLu W(2021)Exploring direct citations between citing publicationsJournal of Information Science10.1177/016555152091765447:5(615-626)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1177/0165551520917654
Ma YBa ZZhao YMao JLi G(2021)Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approachScientometrics10.1007/s11192-021-04051-5126:8(7051-7085)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s11192-021-04051-5
Thelwall M(2017)Judit Bar-IlanScientometrics10.1007/s11192-017-2551-3113:3(1235-1244)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11192-017-2551-3
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An ego-centric citation analysis of the works of Michael O. Rabin based on multiple citation indexes

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Reviews

Reviewer: Mercedes Martinez Gonzalez

Citation databases are increasing in popularity. These tools can be used to support the analysis of social networks or to measure the impact of a published work. Nowadays, practically every computer science researcher knows about or has used Web of Science, Google Scholar, and Citeseer. These three are the tools analyzed in this paper. Using the publications of a reputed author (Michael O. Rabin) for their case study, the authors of this paper analyze the following parameters in these three databases: most cited works, citation identity, citation image makers, and coauthors. The results they obtain show important differences. Some factors that may be among the causes of these differences are discussed. The main value of this paper is its critical, rigorous analysis of these tools. The paper is clear and readable, which makes it useful for anyone interested in the advantages and shortcomings of citation databases. At a time when the use of these databases for measuring the quality of research (and the quality of researchers) is spreading, the question about what should be the correct use of these tools is very interesting and timely. This paper does a fine job of addressing this very question. Online Computing Reviews Service

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Published In

Information Processing and Management: an International Journal Volume 42, Issue 6

Special issue: Informetrics

December 2006

252 pages

ISSN:0306-4573

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Pergamon Press, Inc.

United States

Publication History

Published: 01 December 2006

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Huang YBu YDing YLu W(2021)Exploring direct citations between citing publicationsJournal of Information Science10.1177/016555152091765447:5(615-626)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1177/0165551520917654
Ma YBa ZZhao YMao JLi G(2021)Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approachScientometrics10.1007/s11192-021-04051-5126:8(7051-7085)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s11192-021-04051-5
Thelwall M(2017)Judit Bar-IlanScientometrics10.1007/s11192-017-2551-3113:3(1235-1244)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11192-017-2551-3
White H(2015)Co-cited author retrieval and relevance theoryScientometrics10.1007/s11192-014-1483-4102:3(2275-2299)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1007/s11192-014-1483-4
Sugimoto CCronin B(2012)Biobibliometric profiling: An examination of multifaceted approaches to scholarshipJournal of the American Society for Information Science and Technology10.1002/asi.2169563:3(450-468)Online publication date: 1-Mar-2012
https://dl.acm.org/doi/10.1002/asi.21695
Fiala D(2011)Mining citation information from CiteSeer dataScientometrics10.1007/s11192-010-0326-186:3(553-562)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1007/s11192-010-0326-1
Meho LRogers Y(2008)Citation counting, citation ranking, and h-index of human-computer interaction researchers: A comparison of Scopus and Web of ScienceJournal of the American Society for Information Science and Technology10.5555/1403761.140376559:11(1711-1726)Online publication date: 1-Sep-2008
https://dl.acm.org/doi/10.5555/1403761.1403765

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Citation contagion: a citation analysis of selected predatory marketing journals

A preliminary test of Google Scholar as a source for citation data: a longitudinal study of Nobel prize winners

Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations

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