A Non-Iterative Constrained Measure of Research Impact

The number of received citations and more complex bibliographic measures calculated based on them, such as the h-index, remain the most widely used indicators for measuring research impact in an objective and easy-to-compute way. However, using the number of received citations as a research impact m...

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Main Author: Jakub Swacha
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/7/319
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author Jakub Swacha
author_facet Jakub Swacha
author_sort Jakub Swacha
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description The number of received citations and more complex bibliographic measures calculated based on them, such as the h-index, remain the most widely used indicators for measuring research impact in an objective and easy-to-compute way. However, using the number of received citations as a research impact measure has its shortcomings, some intrinsic (stemming from the doubt whether a citation is actually a confirmation of the cited paper’s impact), some extrinsic (stemming from the ease of manipulating this measure by deliberately inserting multiple unmerited references). While the first can only be addressed by a careful interpretation of the measure with consideration of its limitations, the latter can be reduced to much extent by replacing simple citation counting with a more sophisticated procedure constraining the impact that a single publication may have on the others. One such solution is ArticleRank, which has, however, several disadvantages limiting its practical use. In this paper, we propose another solution to this problem, the Transitive Research Impact Score (TRIS), which is free of these disadvantages, and validate it on a sample dataset.
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spelling doaj.art-61b3b6f77740489b9a983eeb560d26402023-12-03T15:11:08ZengMDPI AGInformation2078-24892022-06-0113731910.3390/info13070319A Non-Iterative Constrained Measure of Research ImpactJakub Swacha0Department of IT in Management, University of Szczecin, 71-004 Szczecin, PolandThe number of received citations and more complex bibliographic measures calculated based on them, such as the h-index, remain the most widely used indicators for measuring research impact in an objective and easy-to-compute way. However, using the number of received citations as a research impact measure has its shortcomings, some intrinsic (stemming from the doubt whether a citation is actually a confirmation of the cited paper’s impact), some extrinsic (stemming from the ease of manipulating this measure by deliberately inserting multiple unmerited references). While the first can only be addressed by a careful interpretation of the measure with consideration of its limitations, the latter can be reduced to much extent by replacing simple citation counting with a more sophisticated procedure constraining the impact that a single publication may have on the others. One such solution is ArticleRank, which has, however, several disadvantages limiting its practical use. In this paper, we propose another solution to this problem, the Transitive Research Impact Score (TRIS), which is free of these disadvantages, and validate it on a sample dataset.https://www.mdpi.com/2078-2489/13/7/319scientometricscitation analysisresearch output measurecitation measure
spellingShingle Jakub Swacha
A Non-Iterative Constrained Measure of Research Impact
Information
scientometrics
citation analysis
research output measure
citation measure
title A Non-Iterative Constrained Measure of Research Impact
title_full A Non-Iterative Constrained Measure of Research Impact
title_fullStr A Non-Iterative Constrained Measure of Research Impact
title_full_unstemmed A Non-Iterative Constrained Measure of Research Impact
title_short A Non-Iterative Constrained Measure of Research Impact
title_sort non iterative constrained measure of research impact
topic scientometrics
citation analysis
research output measure
citation measure
url https://www.mdpi.com/2078-2489/13/7/319
work_keys_str_mv AT jakubswacha anoniterativeconstrainedmeasureofresearchimpact
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