Analyzing research performance: proposition of a new complementary index
Shaon Sahoo ()
Additional contact information
Shaon Sahoo: CEA, INAC/SPSMS
Scientometrics, 2016, vol. 108, issue 2, No 2, 489-504
Abstract:
Abstract A researcher collaborating with many groups will normally have more papers (and thus higher citations and h-index) than a researcher spending all his/her time working alone or in a small group. While analyzing an author’s research merit, it is therefore not enough to consider only the collective impact of the published papers, it is also necessary to quantify his/her share in the impact. For this quantification, here I propose the I-index which is defined as an author’s percentage share in the total citations that his/her papers have attracted. It is argued that this I-index does not directly depend on the most of the subjective issues like an author’s influence, affiliation, seniority or career break. A simple application of the Central Limit Theorem shows that, the scheme of equidistribution of credit among the coauthors of a paper will give us the most probable value of the I-index (with an associated small standard deviation which decreases with increasing h-index). I show that the total citations ( $$N_{\text {c}}$$ N c ), the h-index and the I-index are three independent parameters (within their bounds), and together they give a comprehensive idea of an author’s overall research performance.
Keywords: Coauthors’ contributions; Independent parameters; Central Limit Theorem (search for similar items in EconPapers)
Date: 2016
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/s11192-016-1988-0 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:108:y:2016:i:2:d:10.1007_s11192-016-1988-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-016-1988-0
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 ().