D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 44 Citations 21,633 97 World Ranking 4671 National Ranking 68

Overview

What is he best known for?

The fields of study Nees Jan van Eck is best known for:

  • Citation
  • Data mining
  • Citation analysis

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 most cited work include:

  • Citation-based clustering of publications using CitNetExplorer and VOSviewer (759 citations)
  • Towards a new crown indicator: an empirical analysis (192 citations)

What are the main themes of his work throughout his whole career to date

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.

Nees Jan van Eck most often published in these fields:

  • Data science (80.00%)
  • Information retrieval (70.00%)
  • Citation (60.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Software survey: VOSviewer, a computer program for bibliometric mapping.

Nees Jan van Eck;Nees Jan van Eck;Ludo Waltman;Ludo Waltman.
Scientometrics (2010)

6864 Citations

Visualizing Bibliometric Networks

Nees Jan van Eck;Ludo Waltman.
(2014)

1364 Citations

From Louvain to Leiden: guaranteeing well-connected communities

V. A. Traag;L. Waltman;N. J. van Eck.
Scientific Reports (2019)

1324 Citations

A unified approach to mapping and clustering of bibliometric networks

Ludo Waltman;Nees Jan van Eck;Ed C.M. Noyons.
Journal of Informetrics (2010)

1244 Citations

From Louvain to Leiden: guaranteeing well-connected communities

Vincent Traag;Ludo Waltman;Nees Jan van Eck.
arXiv: Social and Information Networks (2018)

913 Citations

Citation-based clustering of publications using CitNetExplorer and VOSviewer

Nees Jan Eck;Ludo Waltman.
Scientometrics (2017)

731 Citations

A smart local moving algorithm for large-scale modularity-based community detection

Ludo Waltman;Nees Jan van Eck.
European Physical Journal B (2013)

658 Citations

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)

650 Citations

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)

590 Citations

Constructing bibliometric networks: A comparison between full and fractional counting

Antonio Perianes-Rodriguez;Ludo Waltman;Nees Jan van Eck.
Journal of Informetrics (2016)

543 Citations

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