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Author
dc.contributor.author
Sasvári Péter
Author
dc.contributor.author
Urbanovics Anna
Availability Date
dc.date.accessioned
2022-11-15
Availability Date
dc.date.available
2022
Release
dc.date.issued
2022
Issn
dc.identifier.issn
2096-157X
uri
dc.identifier.uri
http://hdl.handle.net/20.500.12944/18813
Abstract
dc.description.abstract
Purpose: The aim of our paper is to investigate the role of a mentor leading a research team in the overall scientific performance of an academic institution and the possible risks of their departure with a special attention to their publication output. Design/methodology/approach: By using SciVal subject area data, we composed a formula describing the level of vulnerability of any given university in the case of losing any of its leading mentors, identifying other risk factors by dividing their careers into separate stages. Findings: It turns out that the higher field-weighed citation impact is, the better position universities reach in the rankings by subject and the vulnerability of institutions highly depends on the mentors, especially in view of their contribution to the topic clusters. Research limitations: The analysis covers the publication output of leading researchers working at four Hungarian universities, the scope of the analysis is worth being extended. Practical implications: Our analysis has the potential to give an applicable systemic approach as well as a data collection scheme to university managements so as to formulate an inclusive and comprehensive research strategy involving the introduction of a reward system aimed at publications and further encouraging national and international research cooperation. Originality/value: The methodology and the principles of risk assessment laid down in our paper are not restricted to measuring the vulnerability level of a limited group of academic institutions, they can be appropriately used for investigating the role of mentors or leading researchers at every university across the globe.
Language
dc.language
en
Rent
dc.publisher
De Gruyter
Keywords
dc.subject
QS Rankings by Subject
Keywords
dc.subject
Scientific Competitiveness
Keywords
dc.subject
Risk Analysis
Keywords
dc.subject
Subject Area Exposure
Title
dc.title
Subject Area Risk Assessment of Four Hungarian Universities with a View to the QS University Rankings by Subject
Type
dc.type
folyóiratcikk
Date Change
dc.date.updated
2022
Version
dc.description.version
kiadói

dc.rights.accessRights
nyílt hozzáférésű
Doi ID
dc.identifier.doi
https://doi.org/10.2478/jdis-2022-0023
MTMT ID
dc.identifier.mtmt
33210787

dc.identifier.journalTitle
Journal of Data and Information Science

dc.identifier.journalVolume
7

dc.identifier.journalIssueNumber
4
Scope
dc.format.page
61-80

dc.identifier.journalAbbreviatedTitle
JDIS
Release Date
dc.description.issuedate
2022
Author institution
dc.contributor.department
Informatikai Intézet II
Author institution
dc.contributor.department
Közszervezési és Infotechnológiai Tanszék
Author institution
dc.contributor.department
Közigazgatás-tudományi Doktori Iskola
Author institution
dc.contributor.department
Közszervezési és Infotechnológiai Tanszék
Author institution
dc.contributor.department
Nemzetbiztonsági Szakkollégium
Author institution
dc.contributor.department
Államtudományi és Nemzetközi Tanulmányok Kar
Author institution
dc.contributor.department
E-közszolgálati Fejlesztési Intézet
Author institution
dc.contributor.department
Informatikai Intézet II
Author institution
dc.contributor.department
Gazdálkodástani Intézet
Author institution
dc.contributor.department
Közigazgatás-tudományi Doktori Iskola


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Subject Area Risk Assessment of Four Hungarian Universities with a View to the QS University Rankings by Subject
 
 

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