Pavol Ďuriš

44 total papers · 405 total citations
21 papers, 183 citations indexed

About

Pavol Ďuriš is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Pavol Ďuriš has authored 21 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 17 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Pavol Ďuriš's work include semigroups and automata theory (11 papers), DNA and Biological Computing (6 papers) and Algorithms and Data Compression (6 papers). Pavol Ďuriš is often cited by papers focused on semigroups and automata theory (11 papers), DNA and Biological Computing (6 papers) and Algorithms and Data Compression (6 papers). Pavol Ďuriš collaborates with scholars based in Slovakia, Israel and United States. Pavol Ďuriš's co-authors include Zvi Galil, Georg Schnitger, Juraj Hromkovič, Ondřej Sýkora, Imrich Vrt’o, Andrea Roli, Clark D. Thompson, Katsushi Inoue, Rastislav Kráľovič and Wolfgang J. Paul and has published in prestigious journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Algorithmica.

In The Last Decade

Pavol Ďuriš

19 papers receiving 167 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pavol Ďuriš 142 110 51 37 31 21 183
Omri Weinstein 136 1.0× 110 1.0× 40 0.8× 33 0.9× 9 0.3× 32 195
Martianus Frederic Ezerman 113 0.8× 186 1.7× 52 1.0× 38 1.0× 21 0.7× 40 206
Andrzej Szepietowski 152 1.1× 77 0.7× 60 1.2× 29 0.8× 41 1.3× 35 223
Thomas Dueholm Hansen 109 0.8× 95 0.9× 40 0.8× 7 0.2× 16 0.5× 21 186
Ramprasad Saptharishi 213 1.5× 148 1.3× 31 0.6× 23 0.6× 10 0.3× 29 246
Huacheng Yu 101 0.7× 68 0.6× 54 1.1× 16 0.4× 14 0.5× 29 165
Claus-Peter Schnorr 120 0.8× 135 1.2× 17 0.3× 18 0.5× 13 0.4× 17 200
Julien Moncel 123 0.9× 70 0.6× 128 2.5× 83 2.2× 43 1.4× 22 218
Holger Dell 209 1.5× 62 0.6× 64 1.3× 19 0.5× 9 0.3× 21 244
Ashish V. Naik 146 1.0× 109 1.0× 77 1.5× 22 0.6× 3 0.1× 17 218

Countries citing papers authored by Pavol Ďuriš

Since Specialization
Citations

This map shows the geographic impact of Pavol Ďuriš's research. 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 Pavol Ďuriš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavol Ďuriš more than expected).

Fields of papers citing papers by Pavol Ďuriš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavol Ďuriš. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pavol Ďuriš. The network helps show where Pavol Ďuriš may publish in the future.

Co-authorship network of co-authors of Pavol Ďuriš

This figure shows the co-authorship network connecting the top 25 collaborators of Pavol Ďuriš. A scholar is included among the top collaborators of Pavol Ďuriš based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pavol Ďuriš. Pavol Ďuriš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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