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Visual overviews for discovering key papers and influences across research fronts

Author

Listed:
  • Aleks Aris
  • Ben Shneiderman
  • Vahed Qazvinian
  • Dragomir Radev

Abstract

Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network‐visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two‐dimensional layouts with multiple regions and user control of link visibility, we conducted a design‐oriented, preliminary case study with 6 domain experts over a 4‐month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.

Suggested Citation

  • Aleks Aris & Ben Shneiderman & Vahed Qazvinian & Dragomir Radev, 2009. "Visual overviews for discovering key papers and influences across research fronts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2219-2228, November.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:11:p:2219-2228
    DOI: 10.1002/asi.21160
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    Citations

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    Cited by:

    1. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
    2. Yantai Chen & Jing Li & Ruoying Li, 2021. "Cluster Internationalization: Qualitative Review, Theoretical Direction, and the Rise of Emerging Markets’ Themes," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    3. Cody Dunne & Ben Shneiderman & Robert Gove & Judith Klavans & Bonnie Dorr, 2012. "Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2351-2369, December.
    4. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    5. Bornmann, Lutz & Marx, Werner, 2012. "HistCite analysis of papers constituting the h index research front," Journal of Informetrics, Elsevier, vol. 6(2), pages 285-288.

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