N.J. (Nees Jan), MSc van Eck
Person photo
Organisation: Centre for Science and Technology Studies
Phone: +31-(0)71-5276445
Fax: +31-(0)71-5273911
E-Mail: ecknjpvan@cwts.leidenuniv.nl
Webpage: http://www.neesjanvaneck.nl
Description:
Researcher. MSc in Economics & Informatics from Erasmus University Rotterdam (2005). Currently working on a PhD thesis on science mapping at Erasmus University Rotterdam. Working at CWTS from November 2008. Involved in various science mapping projects, and working on the development of science mapping software (VOSviewer). Main research interests are science mapping and bibliometric indicators.
  
Publications (15)
Activities (2)
Research programs (2)
12>>
A simple alternative to the h-index
ISSI Newsletter; 2009: 46 - 48
Application of reinforcement learning to the game of Othello
COMPUTERS & OPERATIONS RESEARCH; 2008: 1999 - 2017
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such complex problems are associated with some difficulties. As we discuss in this article, these methods are plagued by the ...
Appropriate similarity measures for author co-citation analysis
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY; 2008: 1653 - 1661
We provide in this article a number of new insights into the methodological discussion about author co-citation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors' co-citation profiles is not very satisfactory. We then discuss what kind of ...
Automatic term identification for bibliometric mapping
SCIENTOMETRICS; 2010: 581 - 596
A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and ...
Bibliometric mapping of the computational intelligence field
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS; 2007: 625 - 645
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 ...
Generalizing the h- and g- indices
JOURNAL OF INFORMETRICS; 2008: 263 - 271
We introduce two new measures of the performance of a scientist. One measure, referred to as the h(alpha)-index, generalizes the well-known h-index or Hirsch index. The other measure, referred to as the g(alpha)-index, generalizes the closely related g-index. We analyze theoretically the ...
How to Normalize Cooccurrence Data? An Analysis of Some Well-Known Similarity Measures
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY; 2009: 1635 - 1651
In scientometric research, the use of cooccurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, there is no consensus among researchers on which similarity measure is most appropriate for normalization purposes. In this article, we ...
Journal Editorials give indication of driving science issues
NATURE; 2010: 157 - 157
On the proper understanding of the limiting behavior of generalizations of the h- and g-indices
JOURNAL OF INFORMETRICS; 2009: 369 - 370
Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments
COMPUTATIONAL ECONOMICS; 2009: 103 - 105