Torra, V (Torra, Vicenc); Narukawa, Y (Narukawa, Yasuo) The h-index and the number of citations: Two fuzzy integrals IEEE TRANSACTIONS ON FUZZY SYSTEMS, 16 (3): 795-797 JUN 2008

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Wed Aug 27 11:25:46 EDT 2008


E-mail Address: vtorra at iiia.csic.es; narukawa at d4.dion.ne.jp 

Author(s): Torra, V (Torra, Vicenc); Narukawa, Y (Narukawa, Yasuo) 

Title: The h-index and the number of citations: Two fuzzy integrals 

Source: IEEE TRANSACTIONS ON FUZZY SYSTEMS, 16 (3): 795-797 JUN 2008 

Language: English 

Document Type: Article 

Author Keywords: Choquet integral; citation indexes; fuzzy integrals; h-
index; Sugeno integral 

Abstract: In this paper, we review two of the most well-known citation 
indexes and establish their connections with the Choquet and Sugeno 
integrals. In particular, we show that the recently established h-index is 
a particular case of the Sugeno integral, and that the number of citations 
corresponds to the Choquet integral. In both cases, they use the same 
fuzzy measure. The results presented here permit one to envision new 
indexes defined in terms of fuzzy integrals using other types of fuzzy 
measures. A few considerations in this respect are also included in this 
paper. Indexes for taking into account recent research and the publisher 
credibility are outlined. 

Addresses: IIIA CSIC, Spanish Sci Res Council, Artificial Intelligence Res 
Inst, Bellaterra 08193, Catalonia, Spain; Waseda Univ, Res Business Adm, 
Shinjuku Ku, Tokyo 1698050, Japan 
Reprint Address: Torra, V, IIIA CSIC, Spanish Sci Res Council, Artificial 
Intelligence Res Inst, Campus UAB, Bellaterra 08193, Catalonia, Spain. 

E-mail Address: vtorra at iiia.csic.es; narukawa at d4.dion.ne.jp 

Cited Reference Count: 9 

Times Cited: 0 

Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 

Publisher Address: 445 HOES LANE, PISCATAWAY, NJ 08855 USA 

ISSN: 1063-6706 

DOI: 10.1109/TFUZZ.2007.896327 

29-char Source Abbrev.: IEEE TRANS FUZZY SYST 

ISO Source Abbrev.: IEEE Trans. Fuzzy Syst. 

Source Item Page Count: 3 

Subject Category: Computer Science, Artificial Intelligence; Engineering, 
Electrical & Electronic 


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