Scientometrics
Volume/Issue:
Volume 90: Issue 3
On first quartile journals which are not of highest impact
Authors:
J. A. García Departamento de Ciencias de la Computación e I. A., CITIC-UGR, Universidad de Granada, 18071 Granada, Spain

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Rosa Rodriguez-Sánchez Departamento de Ciencias de la Computación e I. A., CITIC-UGR, Universidad de Granada, 18071 Granada, Spain

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J. Fdez-Valdivia Departamento de Ciencias de la Computación e I. A., CITIC-UGR, Universidad de Granada, 18071 Granada, Spain

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J. Martinez-Baena Departamento de Ciencias de la Computación e I. A., CITIC-UGR, Universidad de Granada, 18071 Granada, Spain

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Pages:
925–943
Online Publication Date:
15 Oct 2011
Publication Date:
01 Mar 2012
Article Category:
Research Article
DOI:
https://doi.org/10.1007/s11192-011-0534-3
Keywords:
Publication analysis; Quartiles of ISI impact factor; Journal classification; Impact factor; SJR; Fuzzy clustering; Multivariate indicator space
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Abstract

Here we study the relationship between journal quartile rankings of ISI impact factor (at the 2010) and journal classification in four impact classes, i.e., highest impact, medium highest impact, medium lowest impact, and lowest impact journals in subject category computer science artificial intelligence. To this aim, we use fuzzy maximum likelihood estimation clustering in order to identify groups of journals sharing similar characteristics in a multivariate indicator space. The seven variables used in this analysis are: (1) Scimago Journal Ranking (SJR); (2) H-Index (H); (3) ISI impact factor (IF); (4) 5-Year Impact Factor (5IF); (5) Immediacy Index (II); (6) Eigenfactor Score (ES); and (7) Article Influence Score (AIS). The fuzzy clustering allows impact classes to overlap, thereby accommodating for uncertainty related to the confusion about the impact class attribution for a journal and vagueness in impact classes definition. This paper demonstrates the complex relationship between quartiles of ISI impact factor and journal impact classes in the multivariate indicator space. And that several indicators should be used for a distinct analysis of structural changes at the score distribution of journals in a subject category. Here we propose it can be performed in a multivariate indicator space using a fuzzy classifier.

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Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

To see the editorial board, please visit the website of Springer Nature.

Manuscript submission: http://www.editorialmanager.com/scim/

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Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 1
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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