World's Best Scientists 2026 revealed!
Nees Jan van Eck

Nees Jan van Eck

Award Badge
Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
48
Citations
50563
World Ranking
5990
National Ranking
94

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Nees Jan van Eck is affiliated with Leiden University in the Netherlands and focuses on research spanning several subfields including Statistics, Probability and Uncertainty, Information Systems, Artificial Intelligence, Sociology and Political Science, and Molecular Biology.

The scientist's research covers a wide array of topics. Key areas of focus include:

  • scientometrics and bibliometrics research
  • Misinformation and Its Impacts
  • Web visibility and informetrics
  • Data-Driven Disease Surveillance
  • Biomedical Text Mining and Ontologies
  • Semantic Web and Ontologies
  • Complex Network Analysis Techniques

Nees Jan van Eck has contributed to multiple research papers in various respected venues. Recent notable publications include:

  • Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic (2021) in Quantitative Science Studies
  • A scientometric overview of CORD-19 (2021) in PLoS ONE
  • Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation (2020) in Scientometrics
  • Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic (2020) in Zenodo (CERN European Organization for Nuclear Research)
  • Paper without title (2020) in Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

Frequent co-authors include:

  • Ludo Waltman (27 collaborations)
  • Alexis-Michel Mugabushaka (7 collaborations)
  • Kevin W. Boyack (5 collaborations)
  • Martijn S. Visser (4 collaborations)
  • Giovanni Colavizza (4 collaborations)

Publications are predominantly found in the following venues:

  • Zenodo (CERN European Organization for Nuclear Research) with 28 publications
  • Quantitative Science Studies with 5 publications
  • arXiv (Cornell University) with 5 publications
  • OPAL (Open@LaTrobe) (La Trobe University) with 5 publications
  • Scientometrics with 3 publications

Best Publications

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

    Nees Jan van Eck;Nees Jan van Eck;Ludo Waltman;Ludo Waltman

  • From Louvain to Leiden: guaranteeing well-connected communities

    Vincent Traag;Ludo Waltman;Nees Jan van Eck

  • From Louvain to Leiden: guaranteeing well-connected communities

    V. A. Traag;L. Waltman;N. J. van Eck

  • Visualizing Bibliometric Networks

    Nees Jan van Eck;Ludo Waltman

  • Citation-based clustering of publications using CitNetExplorer and VOSviewer

    Nees Jan Eck;Ludo Waltman

  • A unified approach to mapping and clustering of bibliometric networks

    Ludo Waltman;Nees Jan van Eck;Ed C.M. Noyons

  • Constructing bibliometric networks: A comparison between full and fractional counting

    Antonio Perianes-Rodriguez;Ludo Waltman;Nees Jan van Eck

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

    Ludo Waltman;Nees Jan van Eck

  • A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS

    Nees Jan van Eck;Ludo Waltman;Rommert Dekker;Jan van den Berg

  • Text mining and visualization using VOSviewer

    Nees Jan van Eck;Ludo Waltman

  • CitNetExplorer: A new software tool for analyzing and visualizing citation networks

    Nees Jan van Eck;Ludo Waltman

  • Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic

    Martijn S. Visser;Nees Jan van Eck;Ludo Waltman

  • A new methodology for constructing a publication-level classification system of science

    Ludo Waltman;Nees Jan van Eck

  • VOS: A New Method for Visualizing Similarities between Objects

    Nees Jan van Eck;Ludo Waltman

  • How to normalize cooccurrence dataq An analysis of some well-known similarity measures

    Nees Jan van Eck;Ludo Waltman

  • The Leiden ranking 2011/2012: Data collection, indicators, and interpretation

    Ludo Waltman;Clara Calero-Medina;Joost Kosten;Ed C.M. Noyons

  • Towards a new crown indicator: Some theoretical considerations

    Ludo Waltman;Nees Jan van Eck;Thed N. van Leeuwen;Martijn S. Visser

  • How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures

    Nees Jan van Eck;Ludo Waltman

  • The inconsistency of the h-index

    Ludo Waltman;Nees Jan van Eck

  • Bibliometric Mapping of the Computational Intelligence Field

    Nees Jan van Eck;Ludo Waltman

Frequent Co-Authors

Ludo Waltman
Ludo Waltman Leiden University
Anthony F. J. van Raan
Anthony F. J. van Raan Leiden University
Thed N. van Leeuwen
Thed N. van Leeuwen Leiden University
Kevin W. Boyack
Kevin W. Boyack SciTech Strategies
Uzay Kaymak
Uzay Kaymak Eindhoven University of Technology
Paul Wouters
Paul Wouters Leiden University
Rommert Dekker
Rommert Dekker Erasmus University Rotterdam
Erjia Yan
Erjia Yan Drexel University
Rodrigo Costas
Rodrigo Costas Leiden University
Philip Spinhoven
Philip Spinhoven Leiden University

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