2026 Ludo Waltman: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3714	3609	41	38	150	57875

Research.com Recognitions

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

Overview

Ludo Waltman is affiliated with Leiden University in the Netherlands. Their research primarily centers on decision sciences, with a significant focus on scientometrics and bibliometrics research. This scientist's work spans several subfields, including statistics, probability and uncertainty, information systems and management, information systems, sociology and political science, and molecular biology.

The main topics of Ludo Waltman's research include:

Scientometrics and bibliometrics research
Academic publishing and open access
Research data management practices
Misinformation and its impacts
Data-driven disease surveillance
Complex network analysis techniques
Biomedical text mining and ontologies

The scientist has contributed to numerous publications in various venues. Frequent publication locations include:

Zenodo (CERN European Organization for Nuclear Research)
Quantitative Science Studies
arXiv (Cornell University)
Scientometrics
bioRxiv (Cold Spring Harbor Laboratory)

Selected recent papers authored or co-authored by Ludo Waltman include:

Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic (2021), published in Quantitative Science Studies
A large-scale bibliometric analysis of global climate change research between 2001 and 2018 (2022), published in Climatic Change
A scientometric overview of CORD-19 (2021), published in PLoS ONE
How to improve scientific peer review: Four schools of thought (2023), published in Learned Publishing
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (2020), publication title not provided

Frequently collaborating co-authors include:

Nees Jan van Eck
Vincent Traag
Vincent Larivière
Wout Lamers
Rong Ni

Best Publications

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

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

19055
Citations
From Louvain to Leiden: guaranteeing well-connected communities

Vincent Traag;Ludo Waltman;Nees Jan van Eck

4813
Citations
From Louvain to Leiden: guaranteeing well-connected communities

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

3898
Citations
Visualizing Bibliometric Networks

Nees Jan van Eck;Ludo Waltman

3323
Citations
Bibliometrics: The Leiden Manifesto for research metrics

Diana Hicks;Paul Wouters;Ludo Waltman;Sarah de Rijcke

2959
Citations
Citation-based clustering of publications using CitNetExplorer and VOSviewer

Nees Jan Eck;Ludo Waltman

2456
Citations
A unified approach to mapping and clustering of bibliometric networks

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

2207
Citations
Science of science

Santo Fortunato;Carl T. Bergstrom;Katy Börner;James A. Evans

1374
Citations
A review of the literature on citation impact indicators

Ludo Waltman

1367
Citations
Constructing bibliometric networks: A comparison between full and fractional counting

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

1342
Citations
A smart local moving algorithm for large-scale modularity-based community detection

Ludo Waltman;Nees Jan van Eck

1201
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

1049
Citations
Text mining and visualization using VOSviewer

Nees Jan van Eck;Ludo Waltman

750
Citations
CitNetExplorer: A new software tool for analyzing and visualizing citation networks

Nees Jan van Eck;Ludo Waltman

748
Citations
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

730
Citations
A new methodology for constructing a publication-level classification system of science

Ludo Waltman;Nees Jan van Eck

713
Citations
VOS: A New Method for Visualizing Similarities between Objects

Nees Jan van Eck;Ludo Waltman

656
Citations
How to normalize cooccurrence dataq An analysis of some well-known similarity measures

Nees Jan van Eck;Ludo Waltman

590
Citations
The Leiden ranking 2011/2012: Data collection, indicators, and interpretation

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

509
Citations
Towards a new crown indicator: Some theoretical considerations

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

507
Citations

Frequent Co-Authors

Nees Jan van Eck Leiden University

Uzay Kaymak Eindhoven University of Technology

Thed N. van Leeuwen Leiden University

Anthony F. J. van Raan Leiden University

Paul Wouters Leiden University

Rommert Dekker Erasmus University Rotterdam

Kevin W. Boyack SciTech Strategies

Vincent Larivière University of Montreal

Rodrigo Costas Leiden University

Erjia Yan Drexel University

External Links

Personal website of Ludo Waltman Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up a variety of flexible options for online study. Many prospective students are seeking the cheapest online colleges to make their education more affordable, without sacrificing quality or accreditation.

For those who are concerned about their academic record, several of the best colleges for low gpa offer accessible online admission paths and support for students aiming to boost their credentials.

If you’re interested in broadening your options, there are also opportunities in related fields. For example, environmental science is a growing sector. You can discover a wide range of rewarding jobs for environmental science majors that intersect with technology and data analysis skills from computer science.

Finally, students eager to enter the workforce sooner may consider enrolling in one of the top computer science accelerated program options. These programs allow you to complete your degree quickly and gain practical expertise for tech-driven careers.