Assessing the profile of top Brazilian computer science researchers

Harlley Lima (), Thiago H. P. Silva (), Mirella M. Moro (), Rodrygo L. T. Santos (), Wagner Meira () and Alberto H. F. Laender ()
Additional contact information
Harlley Lima: Universidade Federal de Minas Gerais
Thiago H. P. Silva: Universidade Federal de Minas Gerais
Mirella M. Moro: Universidade Federal de Minas Gerais
Rodrygo L. T. Santos: Universidade Federal de Minas Gerais
Wagner Meira: Universidade Federal de Minas Gerais
Alberto H. F. Laender: Universidade Federal de Minas Gerais

Scientometrics, 2015, vol. 103, issue 3, No 6, 879-896

Abstract: Abstract Quantitative and qualitative studies of scientific performance provide a measure of scientific productivity and represent a stimulus for improving research quality. Whatever the goal (e.g., hiring, firing, promoting or funding), such analyses may inform research agencies on directions for funding policies. In this article, we perform a data-driven assessment of the performance of top Brazilian computer science researchers considering three central dimensions: career length, number of students mentored, and volume of publications and citations. In addition, we analyze the researchers’ publishing strategy, based upon their area of expertise and their focus on venues of different impact. Our findings demonstrate that it is necessary to go beyond counting publications to assess research quality and show the importance of considering the peculiarities of different areas of expertise while carrying out such an assessment.

Keywords: Research performance; Scientific production; Bibliometry (search for similar items in EconPapers)
Date: 2015
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/s11192-015-1569-7 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:103:y:2015:i:3:d:10.1007_s11192-015-1569-7

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

DOI: 10.1007/s11192-015-1569-7

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 ().