A flexible approach for measuring author-level publishing performance

Nadia Simoes () and Nuno Crespo ()
Additional contact information
Nuno Crespo: Instituto Universitário de Lisboa (ISCTE - IUL)

Scientometrics, 2020, vol. 122, issue 1, No 15, 355 pages

Abstract: Abstract We propose a framework to evaluate, in relative terms, author-level publishing performance. To that end we introduce the publishing performance index (PPI) and the publishing performance box (PPB), and discuss the associated publishing profiles. We illustrate our approach conducting an extensive empirical application covering 472 top economists and developing several robustness tests. Instead of using a pre-designed measure without flexibility to adjust to the circumstances of each specific case, our approach accommodates alternative evaluation criteria, as defined by the evaluators. Beyond this key characteristic, our approach has some other important advantages: (1) it is easy to apply; (2) it is sensitive to the full list of publications and citations; (3) it is able to include additional dimensions of scientific performance beyond papers and citations; (4) it is a high granularity measure, providing a complete ranking of the authors under analysis.

Keywords: Research evaluation; Scientific outputs; Bibliometrics; Selection criteria; Evaluators (search for similar items in EconPapers)
JEL-codes: A11 A14 I23 M51 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03278-7 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:122:y:2020:i:1:d:10.1007_s11192-019-03278-7

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

DOI: 10.1007/s11192-019-03278-7

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 ().