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Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement

Author

Listed:
  • Jingda Ding

    (Ningbo University of Finance and Economics
    Shanghai University)

  • Yifan Chen

    (Shanghai University)

  • Chao Liu

    (Shanghai University)

Abstract

Exploring the temporal research features of Nobel laureates’ papers based on the semantic measurement indexes is helpful to understand the successful mode of scientists. For the public dataset of Nobel laureates in Physics, this study analyzes the semantic relationship between the Prize-winning papers and the other papers published by Nobel laureates in three different periods, which are the period before the laureate published the Prize-winning papers (T1), the period from publishing the Prize-winning papers to the award time (T2), and the period after winning the award (T3). We obtain the top k papers that are semantically close to the Prize-winning papers by the BERT model and use four indexes based on semantic characteristics to analyze the temporal research features of Nobel laureates’ papers. The laureates generally pay attention to the Prize-winning research at the mid-term of the T1 period, who spend an average of 1.55 times as much as the T2 period for further study in the Prize-winning field, and most of them continue for about 15 years on the Prize-winning research. In addition, we find that a few laureates published the paper semantically closest to the Prize-winning paper when they are as the Ph.D. Candidates.

Suggested Citation

  • Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:9:d:10.1007_s11192-023-04786-3
    DOI: 10.1007/s11192-023-04786-3
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