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Two decades of information systems: a bibliometric review

Author

Listed:
  • Jiaying Liu

    (Dalian University of Technology)

  • Jiahao Tian

    (Dalian University of Technology)

  • Xiangjie Kong

    (Dalian University of Technology)

  • Ivan Lee

    (University of South Australia)

  • Feng Xia

    (Dalian University of Technology)

Abstract

Information systems (IS) is a vital research area in both science and engineering, whose revolutions in terms of theories, techniques, and applications promote the evolution of human society. At the same time, the complexity and dynamics of IS raise the challenge for exploring the topic in detail. In this paper, we present a quantitative analysis on bibliographic dataset to reveal the evolution of information systems in 2 decades (1996–2015). We select 39,767 papers published in 8 top-tier journals and conferences between 1996 and 2015 and explore the anatomy from manifold. We find that IS is experiencing the sustainable growth phase in terms of increased productivity, impact, and collaboration. The field is benefited from collaborative, open-minded, and in-depth efforts evidenced from the growing number of co-authors per paper, the continual declining of self-citation rate, and increased reference age, respectively. By applying topic detection models on paper titles, abstracts, and keywords, we infer the representative topics and research directions, which can also reveal the research landscape within this field. Finally, we measure the temporal trends of topics and identify the innovative years in the 20 years’ development history of IS. These discoveries can benefit not only researchers in terms of promoting understanding of the entire field, but also governments for funding agencies.

Suggested Citation

  • Jiaying Liu & Jiahao Tian & Xiangjie Kong & Ivan Lee & Feng Xia, 2019. "Two decades of information systems: a bibliometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 617-643, February.
  • Handle: RePEc:spr:scient:v:118:y:2019:i:2:d:10.1007_s11192-018-2974-5
    DOI: 10.1007/s11192-018-2974-5
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    References listed on IDEAS

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    1. Xiaomei Bai & Fuli Zhang & Jie Hou & Ivan Lee & Xiangjie Kong & Amr Tolba & Feng Xia, 2018. "Quantifying the impact of scholarly papers based on higher-order weighted citations," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    2. Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    3. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    4. Nick Haslam & Lauren Ban & Leah Kaufmann & Stephen Loughnan & Kim Peters & Jennifer Whelan & Sam Wilson, 2008. "What makes an article influential? Predicting impact in social and personality psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 169-185, July.
    5. Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    6. António Correia & Hugo Paredes & Benjamim Fonseca, 2018. "Scientometric analysis of scientific publications in CSCW," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 31-89, January.
    7. Xiaodan Zhu & Peter Turney & Daniel Lemire & André Vellino, 2015. "Measuring academic influence: Not all citations are equal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 408-427, February.
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