Bibliometric Mapping of the Computational Intelligence Field

Nees Jan van Eck and Ludo Waltman

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the evolution of the field over the last decade are analyzed. In addition, a number of emerging areas in the field are identified. It turns out that computational intelligence can best be seen as a field that is structured around four important types of problems, namely control problems, classification problems, regression problems, and optimization problems. Within the computational intelligence field, the neural networks and fuzzy systems subfields are fairly intertwined, whereas the evolutionary computation subfield has a relatively independent position.

Keywords: bibliometric mapping; bibliometrics; computational intelligence; evolutionary computation; fuzzy systems; neural networks (search for similar items in EconPapers)
JEL-codes: M M11 R4 (search for similar items in EconPapers)
Date: 2008-03-25
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