Investigating the research output of institutions

被引:0
|
作者
Stock, Wolfgang G. [1 ]
Reichmann, Gerhard [2 ]
Schloegl, Christian [2 ]
机构
[1] Heinrich Heine Univ Dusseldorf, Dept Informat Sci, Dusseldorf, Germany
[2] Karl Franzens Univ Graz, Dept Operat & Informat Syst, Graz, Austria
关键词
Evaluative scientometrics; Institution; Publications; Affiliation; Address; Affiliated authors; INFORMATION-SCIENCE; GOOGLE SCHOLAR; PERFORMANCE INDICATOR; UNIVERSITY-RESEARCH; BIBLIOMETRIC DATA; COUNTING METHODS; AFFILIATION; WEB; PUBLICATION; DATABASES;
D O I
10.1016/j.joi.2025.101638
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Describing, analyzing, and evaluating research institutions are among the main tasks of scientometrics and research evaluation. But how can we optimally search for an institution's research output? Possible search arguments include institution names, affiliations, addresses, and affiliated authors' names. Prerequisites of these search tasks are complete lists (or at least good approximations) of the institutions' publications, and-in later steps-their citations, and topics. When searching for the publications of research institutions in an information service, there are two options, namely (1) searching directly for the name of the institution and (2) searching for all authors affiliated with the institution in a defined time interval. Which strategy is more effective? More specifically, do informetric indicators such as recall and precision, search recall and search precision, and relative visibility change depending on the search strategy? What are the reasons for differences? To illustrate our approach, we conducted an illustrative study on two information science institutions and identified all staff members. The search was performed using the Web of Science Core Collection (WoS CC). As a performance indicator, applying fractional counting and considering co-affiliations of authors, we used the institution's relative visibility in an information service. We also calculated two variants of recall and precision at the institution level, namely search recall and search precision as informetric measures of performance differences between different search strategies (here: author search versus institution search) on the same information service (here: WoS CC) and recall and precision in relation to the complete set of an institution's publications. For all our calculations, there is a clear result: Searches for affiliated authors outperform searches for institutions in WoS. However, especially for large institutions it is difficult to determine all the staff members in the time interval of research. Additionally, information services (including WoS) are incomplete and there are variants for the names of institutions in the services. Therefore, searching for institutions and the publication-based quantitative evaluation of institutions are very critical issues.
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收藏
页数:14
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