This item is licensed Korea Open Government License
dc.contributor.author
Farid, Farid O.
dc.date.accessioned
2022-03-11T05:49:50Z
dc.date.available
2022-03-11T05:49:50Z
dc.date.issued
2021-09-30
dc.identifier.issn
2287-4577
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16331
dc.description.abstract
We introduce a new research assessment measure, called the research excellence index. The measure, which we denote by RE-index, accurately assesses the research performance of a researcher. The methodology used in deriving the RE-index tackles many of the flaws of popular research performance indicators such as publication counts, citation counts, and the h and g indices. A dataset is introduced, which takes advantage of the wide coverage of Scopus and the Library of Congress, and, at the same time, deals with the Scopus database depth problem. For an academic publication x, a prestige-type and length scores are assigned, and if x is published in an academic periodical publication J, the stature of J is identified through a quartile score. The three scores are used to assign a value score to every academic publication, and cited academic publications are given citation scores that encompass both cases of including and excluding self-citations. The foregoing scores are used to derive another set of scores measuring the combined qualitative and quantitative aspects of the creative work, citations of creative work, informative work and citations of informative work of a researcher. The scores take into consideration co-authorship. From these scores, two versions of the RE-index for a researcher are derived, covering the cases of including and excluding self-citations. The new measure is calculated for two mathematicians.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Korea Institute of Science and Technology Information
dc.relation.ispartofseries
Journal of Information Science Theory and Practice;Volume 9 Issue 3