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Visualizing Research Impact through Citation Data

Authors:

Huamin QuAuthors Info & Claims

ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 8, Issue 1

Article No.: 5, Pages 1 - 24

https://doi.org/10.1145/3132744

Published: 09 March 2018 Publication History

Abstract

Research impact plays a critical role in evaluating the research quality and influence of a scholar, a journal, or a conference. Many researchers have attempted to quantify research impact by introducing different types of metrics based on citation data, such as h-index, citation count, and impact factor. These metrics are widely used in the academic community. However, quantitative metrics are highly aggregated in most cases and sometimes biased, which probably results in the loss of impact details that are important for comprehensively understanding research impact. For example, which research area does a researcher have great research impact on? How does the research impact change over time? How do the collaborators take effect on the research impact of an individual? Simple quantitative metrics can hardly help answer such kind of questions, since more detailed exploration of the citation data is needed. Previous work on visualizing citation data usually only shows limited aspects of research impact and may suffer from other problems including visual clutter and scalability issues. To fill this gap, we propose an interactive visualization tool, ImpactVis, for better exploration of research impact through citation data. Case studies and in-depth expert interviews are conducted to demonstrate the effectiveness of ImpactVis.

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(2024)BibliographyHuman-Computer Interaction10.1016/B978-0-44-314096-9.00015-4(391-429)Online publication date: 2024
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Index Terms

Visualizing Research Impact through Citation Data
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization
    2. Visualization design and evaluation methods

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Published In

cover image ACM Transactions on Interactive Intelligent Systems

ACM Transactions on Interactive Intelligent Systems Volume 8, Issue 1

Special Issue on Interactive Visual Analysis of Human Crowd Behaviors and Regular Paper

March 2018

132 pages

ISSN:2160-6455

EISSN:2160-6463

DOI:10.1145/3185338

Editor:
Michelle Zhou
Juji, Inc., USA

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Copyright © 2018 ACM.

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Publication History

Published: 09 March 2018

Accepted: 01 July 2017

Revised: 01 May 2017

Received: 01 January 2017

Published in TIIS Volume 8, Issue 1

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https://doi.org/10.1016/B978-0-44-314096-9.00015-4
MacKenzie I(2024)Scientific foundationsHuman-Computer Interaction10.1016/B978-0-44-314096-9.00010-5(161-201)Online publication date: 2024
https://doi.org/10.1016/B978-0-44-314096-9.00010-5
Li QWang XFu LCao XWang XZhang JZhou C(2024)VSAN: A new visualization method for super-large-scale academic networksFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-022-2078-518:1Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11704-022-2078-5
Kale BSun MPapka M(2023)The State of the Art in Visualizing Dynamic Multivariate NetworksComputer Graphics Forum10.1111/cgf.1485642:3(471-490)Online publication date: 27-Jun-2023
https://doi.org/10.1111/cgf.14856
Guo ZTao JChen SChawla NWang C(2023) SD 2 : Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.316372729:8(3569-3585)Online publication date: 1-Aug-2023
https://doi.org/10.1109/TVCG.2022.3163727
Tian MLi GYuan X(2023)LitVis: a visual analytics approach for managing and exploring literatureJournal of Visualization10.1007/s12650-023-00941-326:6(1445-1458)Online publication date: 1-Dec-2023
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Wang YPeng TLu HWang HXie XQu HWu Y(2022)Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic CareersIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311479028:1(475-485)Online publication date: 1-Jan-2022
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Sun LZhang XPan XLiu YYu WXu TLiu FChen WWang YSu WZhou Z(2022)Visual analytics of genealogy with attribute-enhanced topological clusteringJournal of Visualization10.1007/s12650-021-00802-x25:2(361-377)Online publication date: 1-Apr-2022
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Shin MSoen AReadshaw BBlackburn SWhitelaw MXie L(2019)Influence Flowers of Academic Entities2019 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST47406.2019.8986934(1-10)Online publication date: Oct-2019
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