Bibliometrics in computer science: An institution ranking

Zurita, G; Merigo Lindahl, JM; Lobos-Ossandón, V; Mulet-Forteza, C

Bibliometrics in computer science: An institution ranking

Zurita, G Merigo Lindahl, JM Lobos-Ossandón, V Mulet-Forteza, C

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Publisher:: IOS PRESS
Publication Type:: Journal Article
Citation:: Journal of Intelligent and Fuzzy Systems, 2020, 38, (5), pp. 5441-5453
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Zurita, G
dc.contributor.author	Merigo Lindahl, JM
dc.contributor.author	Lobos-Ossandón, V
dc.contributor.author	Mulet-Forteza, C
dc.date.accessioned	2021-06-03T06:39:49Z
dc.date.available	2021-06-03T06:39:49Z
dc.date.issued	2020-01-01
dc.identifier.citation	Journal of Intelligent and Fuzzy Systems, 2020, 38, (5), pp. 5441-5453
dc.identifier.issn	1064-1246
dc.identifier.issn	1875-8967
dc.identifier.uri	http://hdl.handle.net/10453/149394
dc.description.abstract	Computer Science degrees are very popular currently among institutions worldwide. The proliferation of these programs in different universities has led to the creation of rankings for classifying programs according to their prestige and quality. However, these rankings do not specify the quality of research. This study develops a bibliometric overview of all the journals that are currently indexed in the Web of Science (WoS) database in any of the seven categories connected to Computer Science research. These categories include Artificial Intelligence, Cybernetics, Hardware and Architecture, Information Systems, Interdisciplinary Applications, Software Engineering and Theory and Methods. This study aims to identify the leading institutions over the last 25 years (1991-2015) in each area selected according to a wide range of bibliometric indicators. The results indicate that American universities are the most influential in Computer Science research. This study concludes that Computer Science traverses many institutions.
dc.language	English
dc.publisher	IOS PRESS
dc.relation.ispartof	Journal of Intelligent and Fuzzy Systems
dc.relation.isbasedon	10.3233/JIFS-179636
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Bibliometrics in computer science: An institution ranking
dc.type	Journal Article
utslib.citation.volume	38
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-03T06:39:47Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	38
utslib.citation.issue	5

Abstract:

Computer Science degrees are very popular currently among institutions worldwide. The proliferation of these programs in different universities has led to the creation of rankings for classifying programs according to their prestige and quality. However, these rankings do not specify the quality of research. This study develops a bibliometric overview of all the journals that are currently indexed in the Web of Science (WoS) database in any of the seven categories connected to Computer Science research. These categories include Artificial Intelligence, Cybernetics, Hardware and Architecture, Information Systems, Interdisciplinary Applications, Software Engineering and Theory and Methods. This study aims to identify the leading institutions over the last 25 years (1991-2015) in each area selected according to a wide range of bibliometric indicators. The results indicate that American universities are the most influential in Computer Science research. This study concludes that Computer Science traverses many institutions.

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http://hdl.handle.net/10453/149394