Jan Kühr

53 total papers · 484 total citations
43 papers, 328 citations indexed

About

Jan Kühr is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Jan Kühr has authored 43 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 30 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Jan Kühr's work include Advanced Algebra and Logic (41 papers), Rough Sets and Fuzzy Logic (30 papers) and Fuzzy and Soft Set Theory (27 papers). Jan Kühr is often cited by papers focused on Advanced Algebra and Logic (41 papers), Rough Sets and Fuzzy Logic (30 papers) and Fuzzy and Soft Set Theory (27 papers). Jan Kühr collaborates with scholars based in Czechia, United States and Italy. Jan Kühr's co-authors include Ivan Chajda, Radomír Halaš, Daniele Mundici, Anatolij Dvurečenskij, Lianzhen Liu, Lavinia Corina Ciungu, Constantine Tsinakis, Jiří Rachůnek, Jan Paseka and Jürgen Reichardt and has published in prestigious journals such as Fuzzy Sets and Systems, Soft Computing and Journal of Algebra.

In The Last Decade

Jan Kühr

38 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Jan Kühr 323 200 128 20 5 43 328
Afrodita Iorgulescu 263 0.8× 179 0.9× 96 0.8× 26 1.3× 3 0.6× 20 270
Joan Gispert 349 1.1× 102 0.5× 238 1.9× 18 0.9× 3 0.6× 19 358
Shôtarô Tanaka 241 0.7× 247 1.2× 114 0.9× 64 3.2× 11 2.2× 21 307
Jun Young Bae 230 0.7× 237 1.2× 101 0.8× 40 2.0× 10 2.0× 44 364
Yuichi Komori 319 1.0× 80 0.4× 227 1.8× 23 1.1× 11 2.2× 17 346
Stefano Aguzzoli 277 0.9× 43 0.2× 218 1.7× 17 0.8× 4 0.8× 51 297
Lavinia Corina Ciungu 280 0.9× 201 1.0× 107 0.8× 27 1.4× 5 1.0× 38 303
U. M. Swamy 239 0.7× 227 1.1× 85 0.7× 56 2.8× 16 3.2× 27 279
C. J. van Alten 220 0.7× 48 0.2× 151 1.2× 9 0.5× 12 2.4× 32 231
Antonio Ledda 308 1.0× 110 0.6× 163 1.3× 81 4.0× 20 4.0× 58 348

Countries citing papers authored by Jan Kühr

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kühr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Kühr. 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 Jan Kühr. The network helps show where Jan Kühr may publish in the future.

Co-authorship network of co-authors of Jan Kühr

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kühr. A scholar is included among the top collaborators of Jan Kühr 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 Jan Kühr. Jan Kühr 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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