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Shalosh B. Ekhad: a computer credit for mathematicians

Author

Listed:
  • Zhiwen Hu

    (Zhejiang Gongshang University
    Tsinghua University
    Chinese Academy of Sciences)

  • Yiping Cui

    (Hangzhou Normal University)

  • Jian Zhang

    (Hefei University of Technology)

  • Jacqueline Eviston-Putsch

    (University of Brighton)

Abstract

With the advent of personal computers, mathematicians and PC team up with each other in the scientific sphere, wherein one sheds light on the significance of the other. However, hitherto PC rarely appears in publications to meet with a fair share of identification, and even its unique contribution has only been flirted with. For this underrepresented minority case in academia, Shalosh B. Ekhad is duly credited with his remarks “the computer helps so much and so often” in sociocultural paradigms. With the pull of academic accession, this article examines the perduring dark story of the Zeilberger–Ekhad theorem with extensive visualizations. This scientometrical case study is expected to provide a unique opportunity to re-scrutinize the whole story, discourage bias in later accounts that may appear, and uncover some unfolded motivations in human–machine cooperation scenarios.

Suggested Citation

  • Zhiwen Hu & Yiping Cui & Jian Zhang & Jacqueline Eviston-Putsch, 2020. "Shalosh B. Ekhad: a computer credit for mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 71-97, January.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03305-7
    DOI: 10.1007/s11192-019-03305-7
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    References listed on IDEAS

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    1. Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
      • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).
      • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
      • Jacob Crandall & Mayada Oudah & Fatimah Ishowo-Oloko Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Post-Print hal-01897802, HAL.
    2. Daniele Fanelli, 2013. "Redefine misconduct as distorted reporting," Nature, Nature, vol. 494(7436), pages 149-149, February.
    3. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    4. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    5. Chaomei Chen, 2018. "Eugene Garfield’s scholarly impact: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 489-516, February.
    6. Martin Rosvall & Carl T Bergstrom, 2010. "Mapping Change in Large Networks," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-7, January.
    7. Erez Lieberman & Jean-Baptiste Michel & Joe Jackson & Tina Tang & Martin A. Nowak, 2007. "Quantifying the evolutionary dynamics of language," Nature, Nature, vol. 449(7163), pages 713-716, October.
    8. John Brookfield, 2003. "The system rewards a dishonest approach," Nature, Nature, vol. 423(6939), pages 480-480, May.
    9. Editors The, 2007. "From the Editors," Basic Income Studies, De Gruyter, vol. 2(1), pages 1-5, June.
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