His research ties Library science and Citation together. His work on Library science is being expanded to include thematically relevant topics such as Citation impact. Nees Jan van Eck carries out multidisciplinary research, doing studies in Citation impact and Citation analysis. He performs multidisciplinary study on Citation analysis and Citation in his works. Data science and Cluster analysis are two areas of study in which Nees Jan van Eck engages in interdisciplinary research. His study in Artificial intelligence extends to Cluster analysis with its themes. He performs multidisciplinary study in the fields of Artificial intelligence and Information retrieval via his papers. Nees Jan van Eck applies his multidisciplinary studies on Information retrieval and World Wide Web in his research. He combines World Wide Web and Software in his research.
His work on Mathematical optimization is typically connected to Algorithm as part of general Evolutionary algorithm study, connecting several disciplines of science. Nees Jan van Eck undertakes interdisciplinary study in the fields of Mathematical optimization and Evolutionary algorithm through his works. His multidisciplinary approach integrates Algorithm and Data mining in his work. In his work, he performs multidisciplinary research in Data mining and Software. His study of Programming language brings together topics like Cluster (spacecraft) and Software. His Geometry study frequently intersects with other fields, such as Point (geometry) and Correlation. Nees Jan van Eck performs multidisciplinary study in Point (geometry) and Geometry in his work. He connects relevant research areas such as Empirical research and Mechanism (biology) in the realm of Epistemology. Nees Jan van Eck performs integrative Empirical research and Social science research in his work.
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Software survey: VOSviewer, a computer program for bibliometric mapping.
Nees Jan van Eck;Nees Jan van Eck;Ludo Waltman;Ludo Waltman.
Scientometrics (2010)
Visualizing Bibliometric Networks
Nees Jan van Eck;Ludo Waltman.
(2014)
From Louvain to Leiden: guaranteeing well-connected communities
V. A. Traag;L. Waltman;N. J. van Eck.
Scientific Reports (2019)
A unified approach to mapping and clustering of bibliometric networks
Ludo Waltman;Nees Jan van Eck;Ed C.M. Noyons.
Journal of Informetrics (2010)
From Louvain to Leiden: guaranteeing well-connected communities
Vincent Traag;Ludo Waltman;Nees Jan van Eck.
arXiv: Social and Information Networks (2018)
Citation-based clustering of publications using CitNetExplorer and VOSviewer
Nees Jan Eck;Ludo Waltman.
Scientometrics (2017)
A smart local moving algorithm for large-scale modularity-based community detection
Ludo Waltman;Nees Jan van Eck.
European Physical Journal B (2013)
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
Nees Jan van Eck;Ludo Waltman;Rommert Dekker;Jan van den Berg.
(2010)
How to normalize cooccurrence dataq An analysis of some well-known similarity measures
Nees Jan van Eck;Ludo Waltman.
Journal of the Association for Information Science and Technology (2009)
Constructing bibliometric networks: A comparison between full and fractional counting
Antonio Perianes-Rodriguez;Ludo Waltman;Nees Jan van Eck.
Journal of Informetrics (2016)
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