Miroslav Ćirić

144 total papers · 1.6k total citations
95 papers, 1.1k citations indexed

About

Miroslav Ćirić is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Miroslav Ćirić has authored 95 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computational Theory and Mathematics, 36 papers in Artificial Intelligence and 24 papers in Management Science and Operations Research. Recurrent topics in Miroslav Ćirić's work include Advanced Algebra and Logic (58 papers), semigroups and automata theory (55 papers) and Fuzzy and Soft Set Theory (19 papers). Miroslav Ćirić is often cited by papers focused on Advanced Algebra and Logic (58 papers), semigroups and automata theory (55 papers) and Fuzzy and Soft Set Theory (19 papers). Miroslav Ćirić collaborates with scholars based in Serbia, Finland and Poland. Miroslav Ćirić's co-authors include Jelena Ignjatović, Stojan Bogdanović, Tatjana Petković, Milan Bašić, Predrag S. Stanimirović, Heiko Vogler, Manfred Droste, Dimitrios Gerontitis, Haifeng Ma and Branimir Šešelja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Miroslav Ćirić

84 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Miroslav Ćirić 967 483 197 80 36 95 1.1k
Lajos Rónyai 375 0.4× 344 0.7× 107 0.5× 25 0.3× 33 0.9× 85 1.1k
Peter Bro Miltersen 630 0.7× 706 1.5× 157 0.8× 108 1.4× 56 1.6× 77 1.1k
Werner Kuich 750 0.8× 603 1.2× 67 0.3× 141 1.8× 16 0.4× 54 931
Lawrence L. Larmore 345 0.4× 451 0.9× 123 0.6× 143 1.8× 58 1.6× 121 1.2k
Joaquim Gabarró 561 0.6× 533 1.1× 49 0.2× 47 0.6× 28 0.8× 60 1.0k
František Matúš 267 0.3× 290 0.6× 71 0.4× 35 0.4× 40 1.1× 49 795
Daniel M. Kane 273 0.3× 462 1.0× 78 0.4× 19 0.2× 86 2.4× 89 842
N. Sauer 534 0.6× 299 0.6× 52 0.3× 17 0.2× 14 0.4× 47 891
Svatopluk Poljak 853 0.9× 175 0.4× 60 0.3× 38 0.5× 35 1.0× 53 1.2k
Teturo Kamae 429 0.4× 227 0.5× 190 1.0× 68 0.8× 5 0.1× 62 1.0k

Countries citing papers authored by Miroslav Ćirić

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Ćirić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Ćirić

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