Research on Covid-19: a disruptive phenomenon for bibliometrics
Yves Fassin ()
Additional contact information
Yves Fassin: Ghent University
Scientometrics, 2021, vol. 126, issue 6, No 34, 5305-5319
Abstract:
Abstract The Covid-19 pandemic has been the highest disruptive event in the world recent history. Worldwide academic research on this topic has led to an explosion of scientific literature, never seen before. Bibliometrics provide methods to illustrate this exceptional phenomenon in academic publications. The objective of this paper is to analyze the Covid-19 research from a bibliometric perspective and to study the impact of the publication explosion on bibliometric indicators. The present study shows how an exceptional phenomenon has a disruptive impact on bibliometric indicators, such as the h-index and the Journal Impact Factor. The higher the specialization, the higher the possible impact of a disruptive phenomenon. In applied sciences, more important than the research or the discipline, the specific theme of the research is crucial for citations of articles and for their impact. The salience of the topic, the magnitude of the problem at study and the urgency to find solutions are drivers for citations. The study of the Covid-19 research illustrates the relativity of indicators and the need for context. The present study also confirms the plead for responsible metrics of the San Francisco Declaration on Research Assessment (DORA).
Keywords: Covid-19; Bibliometrics; Indicator; H-index; Journal impact factor; Disruption; Urgency; Ethics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-03989-w 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:6:d:10.1007_s11192-021-03989-w
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-021-03989-w
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 ().