Revisiting the disruptive index: evidence from the Nobel Prize-winning articles

Guoqiang Liang, Ying Lou and Haiyan Hou ()
Additional contact information
Guoqiang Liang: Beijing University of Technology
Ying Lou: Beijing University of Technology
Haiyan Hou: Dalian University of Technology

Scientometrics, 2022, vol. 127, issue 10, No 6, 5730 pages

Abstract: Abstract In the last two decades, scholars have designed various types of bibliographic-related indicators to identify breakthrough-class academic achievements. In this study, we take a step further to look at the performance of the promising disruptive index (DI) in reference (Wu et al. in Nature 566(7744):378-382, https://doi.org/10.1038/s41586-019-0941-9 , 2019), thus deepening our understanding of the DI and further facilitating its wise use in bibliometrics. Using publication records for Nobel laureates between 1900 and 2016, we calculate the DI of Nobel Prize-winning articles and benchmark articles from each year, use the median and mean DI to denote the central tendency in each year, and analyze the variation of the DI since publication. We find that Nobel Prize-winning articles are not necessarily more disruptive than benchmark articles. Results based on DI depend on the length of their citation time window, and different citation time windows may cause different, even controversial, results. As a result, research assessment should balance between short- & long-term scientific impact; Also, discipline and time play a role in the length of the citation window when using DI to measure the innovativeness of scientific work. The study also discusses potential research directions around DI.

Keywords: Disruptive index; Nobel Prize-winning articles; Transformative research (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04499-z 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:127:y:2022:i:10:d:10.1007_s11192-022-04499-z

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

DOI: 10.1007/s11192-022-04499-z

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 ().