Mirosłav Krbec

56 total papers · 1.3k total citations
42 papers, 946 citations indexed

About

Mirosłav Krbec is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Mirosłav Krbec has authored 42 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Applied Mathematics, 18 papers in Mathematical Physics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Mirosłav Krbec's work include Advanced Harmonic Analysis Research (31 papers), Nonlinear Partial Differential Equations (17 papers) and Advanced Banach Space Theory (12 papers). Mirosłav Krbec is often cited by papers focused on Advanced Harmonic Analysis Research (31 papers), Nonlinear Partial Differential Equations (17 papers) and Advanced Banach Space Theory (12 papers). Mirosłav Krbec collaborates with scholars based in Czechia, Germany and France. Mirosłav Krbec's co-authors include Vakhtang Kokilashvili, Christof Eck, Jiřı́ Jarušek, Alberto Fıorenza, Hans‐Jürgen Schmeißer, Svatopluk Fučík, Šárka Nečasová, Reinhard Farwig, Henryk Hudzik and Agnieszka Kałamajska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Mirosłav Krbec

40 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Mirosłav Krbec 585 484 299 287 74 42 946
Jan Kristensen 900 1.5× 799 1.7× 360 1.2× 94 0.3× 60 0.8× 48 1.1k
Tsuan Wu Ting 447 0.8× 379 0.8× 252 0.8× 224 0.8× 249 3.4× 30 961
J. Nečas 572 1.0× 657 1.4× 255 0.9× 342 1.2× 403 5.4× 27 1.2k
В. В. Жиков 534 0.9× 944 2.0× 319 1.1× 373 1.3× 375 5.1× 48 1.1k
Zhi Qian 97 0.2× 217 0.4× 779 2.6× 509 1.8× 135 1.8× 48 932
Yingzhen Lin 315 0.5× 103 0.2× 89 0.3× 456 1.6× 65 0.9× 57 1.2k
C. J. Neugebauer 866 1.5× 138 0.3× 476 1.6× 18 0.1× 106 1.4× 77 1.2k
Alberto Ferrero 545 0.9× 502 1.0× 313 1.0× 71 0.2× 47 0.6× 42 876
J. Roßmann 479 0.8× 708 1.5× 298 1.0× 307 1.1× 444 6.0× 29 1.1k
Chunhua Wang 310 0.5× 204 0.4× 196 0.7× 279 1.0× 74 1.0× 48 809

Countries citing papers authored by Mirosłav Krbec

Since Specialization
Citations

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

Fields of papers citing papers by Mirosłav Krbec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirosłav Krbec

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