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

Jingda Ding (), Yifan Chen () and Chao Liu
Additional contact information
Jingda Ding: Ningbo University of Finance and Economics
Yifan Chen: Shanghai University
Chao Liu: Shanghai University

Scientometrics, 2023, vol. 128, issue 9, No 13, 5247-5275

Abstract: 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.

Keywords: Temporal research feature; Nobel laureate; BERT; Semantic distance (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-023-04786-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:128:y:2023:i:9:d:10.1007_s11192-023-04786-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-023-04786-3

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().