Growth and dynamics of Econophysics: a bibliometric and network analysis
Kiran Sharma () and
Parul Khurana ()
Additional contact information
Kiran Sharma: Northwestern University
Parul Khurana: Lovely Professional University
Scientometrics, 2021, vol. 126, issue 5, No 33, 4417-4436
Abstract:
Abstract Digitization of publications, advancement in communication technology, and the availability of bibliographic data have made it easier for the researchers to study the growth and dynamics of any discipline. We present a study on “Econophysics” metadata extracted from Web of Science managed by the Clarivate Analytics from 2000 to 2019. The study highlights the growth and dynamics of the discipline by measuring the number of publications, citations on publications, other disciplines contribution, institutions participation, country-wise spread, etc. We investigate the impact of self-citations on citations with every five-years interval. Also, we find the contribution of other disciplines by analyzing the cited references. Results emerged from micro, meso and macro-level analyses of collaborations show that the distributions among authors collaboration and affiliations of authors follow a power law. Thus, very few authors keep producing most of the papers and are from few institutions. We find that China is leading in the production of a number of authors and a number of papers; however, shares more of national collaboration rather than international, whereas the USA shares more international collaboration. Finally, we demonstrate the evolution of the author’s collaborations and affiliations networks from 2000 to 2019. Overall the analysis reveals the “small-world” property of the network with average path length 5. As a consequence of our analysis, this study can serve as an in-depth knowledge to understand the growth and dynamics of Econophysics network both qualitatively and quantitatively.
Keywords: Econophysics; Bibliometric analysis; Citations analysis; Scientific collaboration; Co-authorship network (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-03884-4 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:126:y:2021:i:5:d:10.1007_s11192-021-03884-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-021-03884-4
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 ().