Reputation in the academic world

Osman, N; Sierra, C

Reputation in the academic world

Osman, N Sierra, C

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Publication Type:: Conference Proceeding
Citation:: Frontiers in Artificial Intelligence and Applications, 2016, 285 pp. 1614 - 1615
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Osman, N	en_US
dc.contributor.author	Sierra, C https://orcid.org/0000-0003-0839-6233	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Frontiers in Artificial Intelligence and Applications, 2016, 285 pp. 1614 - 1615	en_US
dc.identifier.isbn	9781614996712	en_US
dc.identifier.issn	0922-6389	en_US
dc.identifier.uri	http://hdl.handle.net/10453/100409
dc.description.abstract	© 2016 The Authors and IOS Press. This paper proposes a computational model based on peer reviews for assessing the reputation of researchers and research work. We argue that by relying on peer opinions, we address some of the pitfalls of current approaches for calculating the reputation of authors and papers. We also introduce a much needed feature for review management: calculating the reputation of reviews and reviewers.	en_US
dc.relation.ispartof	Frontiers in Artificial Intelligence and Applications	en_US
dc.relation.isbasedon	10.3233/978-1-61499-672-9-1614	en_US
dc.title	Reputation in the academic world	en_US
dc.type	Conference Proceeding
utslib.citation.volume	285	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
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 Software
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	285	en_US

Abstract:

© 2016 The Authors and IOS Press. This paper proposes a computational model based on peer reviews for assessing the reputation of researchers and research work. We argue that by relying on peer opinions, we address some of the pitfalls of current approaches for calculating the reputation of authors and papers. We also introduce a much needed feature for review management: calculating the reputation of reviews and reviewers.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/100409