Institute of Computer Science

94.2k citations
6.7k papers ·

Impact in

Papers in

Institute of Computer Science

6.0k papers receiving 89.9k citations

Peers

Institute of Computer Science
Comparison fields: 5 of 242
  • Computational Theory and Mathematics 36.0k
  • Artificial Intelligence 35.8k
  • Information Systems 18.0k
  • Management Science and Operations Research 9.2k
  • Signal Processing 7.6k
Replace Systems Research Institute with:
Systems Research Institute Poland
Institute of Mathematics Poland
Czech Technical University in Prague Czechia
Czech Academy of Sciences, Institute of Computer Science Czechia
University of Passau Germany
HUN-REN Institute for Computer Science and Control Hungary
Graz University of Technology Austria
Technical University of Košice Slovakia
Austrian Institute of Technology Austria
Mathematical Institute of the Slovak Academy of Sciences Slovakia
Institute of Computer Science relative to Systems Research Institute Poland Systems Research Institute's profile →
Citations per field
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Systems Research Institute · 1×
Citations per year

Countries citing scholars working at Institute of Computer Science

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Computer Science. 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 Institute of Computer Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Computer Science more than expected).

Fields of papers published by authors at Institute of Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Computer Science 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 Institute of Computer Science at the time of their publication.

About Institute of Computer Science

In recent decades, authors affiliated with Institute of Computer Science have published 6.7k papers, which have received a total of 94.2k indexed citations . Scholars at this organization have produced 1.7k papers in Computational Theory and Mathematics, 2.4k papers in Artificial Intelligence, 1.4k papers in Computer Networks and Communications, 229 papers in Software and 355 papers in Hardware and Architecture on the topics of Rough Sets and Fuzzy Logic (461 papers), Data Mining Algorithms and Applications (387 papers), Distributed and Parallel Computing Systems (349 papers), Formal Methods in Verification (319 papers), Data Management and Algorithms (312 papers), Semantic Web and Ontologies (288 papers), Natural Language Processing Techniques (260 papers) and Logic, programming, and type systems (252 papers). Their work is cited by papers focused on Computational Theory and Mathematics (36.0k citations), Artificial Intelligence (35.8k citations), Information Systems (18.0k citations), Management Science and Operations Research (9.2k citations) and Signal Processing (7.6k citations). Authors at Institute of Computer Science collaborate with scholars in Poland, United States and Germany and have published in prestigious journals including Lecture notes in computer science, Sensors, Applied Sciences, Theoretical Computer Science and Information Sciences. Some of Institute of Computer Science's most productive authors include Zdzisław Pawlak, Marzena Kryszkiewicz, Zbigniew Michalewicz, Stanisław Migórski, Andrzej Tarlecki, Jarosław Stepaniuk, Andrzej Skowron, Marc Schoenauer, Jerzy W. Grzymala‐Busse and Antoni Mazurkiewicz.

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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