Centrum Wiskunde & Informatica

262.4k citations
9.2k papers ·

Impact in

Papers in

Centrum Wiskunde & Informatica

8.7k papers receiving 262.2k citations

Peers

Centrum Wiskunde & Informatica
Comparison fields: 5 of 243
  • Artificial Intelligence 81.2k
  • Computational Theory and Mathematics 32.5k
  • Numerical Analysis 8.3k
  • Software 7.4k
  • Computer Networks and Communications 22.9k
Replace University of Kaiserslautern with:
University of Kaiserslautern Germany
École Polytechnique France
Max Planck Institute for Informatics Germany
Alcatel-Lucent (France) France
University of Luxembourg Luxembourg
LIP6 France
Laboratoire de Recherche en Informatique France
Institut national de recherche en sciences et technologies du numérique France
University of Augsburg Germany
Johannes Kepler University of Linz Austria
Centrum Wiskunde & Informatica relative to University of Kaiserslautern Germany University of Kaiserslautern's profile →
Citations per field
00.5×2×3.2×
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 9.2k papers, which have received a total of 262.4k indexed citations . Scholars at this organization have produced 1.5k papers in Computational Theory and Mathematics, 371 papers in Numerical Analysis, 2.7k papers in Artificial Intelligence, 262 papers in Software and 851 papers in Computer Networks and Communications on the topics of Logic, programming, and type systems (952 papers), Complexity and Algorithms in Graphs (427 papers), Formal Methods in Verification (364 papers), Advanced Queuing Theory Analysis (342 papers), Cryptography and Data Security (340 papers), Advanced Database Systems and Queries (303 papers), Quantum Computing Algorithms and Architecture (205 papers) and Model-Driven Software Engineering Techniques (203 papers). Their work is cited by papers focused on Artificial Intelligence (81.2k citations), Computational Theory and Mathematics (32.5k citations), Numerical Analysis (8.3k citations), Software (7.4k citations) and Computer Networks and Communications (22.9k 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, Theoretical Computer Science, Queueing Systems, Journal of Computational and Applied Mathematics and Applied Numerical Mathematics. Some of Centrum Wiskunde & Informatica's most productive authors include Alexander Schrijver, David Chaum, Paul M. B. Vitanyi, Krzysztof R. Apt, Farhad Arbab B, Henk J.A.M. Heijmans, Jan J. M. M. Rutten, Jan Willem Klop, Ute Ebert and Jan G. Verwer.

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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