Centrum Wiskunde & Informatica

215.2k citations
8.4k papers ·

Impact in

Papers in

Centrum Wiskunde & Informatica

7.7k papers receiving 199.6k citations

Peers

Centrum Wiskunde & Informatica
Comparison fields: 5 of 244
  • Computational Theory and Mathematics 45.2k
  • Software 11.3k
  • Artificial Intelligence 84.2k
  • Computer Networks and Communications 37.3k
  • Numerical Analysis 7.5k
Replace University of Kaiserslautern with:
University of Kaiserslautern Germany
Technische Universität Darmstadt Germany
University of Luxembourg Luxembourg
Max Planck Institute for Informatics Germany
Laboratoire d'Informatique de Paris-Nord France
Laboratoire de Recherche en Informatique France
Alcatel Lucent (Germany) Germany
École Normale Supérieure Paris-Saclay France
Département d'Informatique France
Institut Polytechnique de Bordeaux France
Centrum Wiskunde & Informatica relative to University of Kaiserslautern Germany University of Kaiserslautern's profile →
Citations per field
00.5×2×2.6×
University of Kaiserslautern · 1×
Citations per year

Countries citing scholars working at Centrum Wiskunde & Informatica

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Centrum Wiskunde & Informatica. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Centrum Wiskunde & Informatica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centrum Wiskunde & Informatica more than expected).

Fields of papers published by authors at Centrum Wiskunde & Informatica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Centrum Wiskunde & Informatica at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Centrum Wiskunde & Informatica at the time of their publication.

About Centrum Wiskunde & Informatica

In recent decades, authors affiliated with Centrum Wiskunde & Informatica have published 8.4k papers, which have received a total of 215.2k indexed citations . Scholars at this organization have produced 2.1k papers in Computational Theory and Mathematics, 3.0k papers in Artificial Intelligence, 357 papers in Software, 368 papers in Numerical Analysis and 1.5k papers in Computer Networks and Communications on the topics of Logic, programming, and type systems (755 papers), Formal Methods in Verification (651 papers), Logic, Reasoning, and Knowledge (444 papers), Complexity and Algorithms in Graphs (390 papers), Cryptography and Data Security (380 papers), Advanced Queuing Theory Analysis (330 papers), Advanced Database Systems and Queries (323 papers) and Semantic Web and Ontologies (311 papers). Their work is cited by papers focused on Computational Theory and Mathematics (45.2k citations), Software (11.3k citations), Artificial Intelligence (84.2k citations), Computer Networks and Communications (37.3k citations) and Numerical Analysis (7.5k citations). Authors at Centrum Wiskunde & Informatica collaborate with scholars in Netherlands, United States and United Kingdom and have published in prestigious journals including Lecture notes in computer science, Queueing Systems, Theoretical Computer Science, Journal of Computational and Applied Mathematics and Science of Computer Programming. Some of Centrum Wiskunde & Informatica's most productive authors include Alexander Schrijver, David Chaum, Paul M. B. Vitanyi, Farhad Arbab, Jan J. M. M. Rutten, Adam N. Letchford, Jan G. Verwer, Eike Kiltz, Henk J.A.M. Heijmans and Harry Buhrman.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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