Pavel Moravec

56 total papers · 465 total citations
27 papers, 158 citations indexed

About

Pavel Moravec is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pavel Moravec has authored 27 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pavel Moravec's work include Image Retrieval and Classification Techniques (7 papers), Formal Methods in Verification (7 papers) and Face and Expression Recognition (6 papers). Pavel Moravec is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Formal Methods in Verification (7 papers) and Face and Expression Recognition (6 papers). Pavel Moravec collaborates with scholars based in Czechia, Russia and Poland. Pavel Moravec's co-authors include Václav Snåšel, Jaroslav Pokorný, Ivana Černá, Petr Gajdoš, Jiřı Šimša, Luboš Brim, Jan Platoš, Hana Řezanková, Radek Pelánek and Alexander Frolov and has published in prestigious journals such as Journal of Sensors, IFAC-PapersOnLine and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Pavel Moravec

26 papers receiving 150 citations

Author Peers

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

Author Last Decade Papers Cites
Pavel Moravec 80 44 43 33 32 27 158
Keith Hanna 49 0.6× 59 1.3× 23 0.5× 78 2.4× 17 0.5× 27 206
Emil Axelsson 70 0.9× 35 0.8× 21 0.5× 47 1.4× 6 0.2× 23 187
Pierre Genevès 104 1.3× 34 0.8× 21 0.5× 16 0.5× 17 0.5× 32 152
Toumi Bouchentouf 54 0.7× 50 1.1× 50 1.2× 32 1.0× 18 0.6× 37 257
Yingke Chen 118 1.5× 52 1.2× 16 0.4× 62 1.9× 9 0.3× 25 212
Jie Chen 94 1.2× 25 0.6× 53 1.2× 28 0.8× 9 0.3× 34 144
Manuel S. Lazo-Cortés 144 1.8× 76 1.7× 61 1.4× 34 1.0× 24 0.8× 28 219
Guillermo A. Pérez 76 0.9× 52 1.2× 9 0.2× 15 0.5× 7 0.2× 23 130
Roberto Asín‐Achá 73 0.9× 74 1.7× 11 0.3× 35 1.1× 12 0.4× 21 186
Renaud Pacalet 113 1.4× 14 0.3× 28 0.7× 39 1.2× 20 0.6× 28 194

Countries citing papers authored by Pavel Moravec

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Moravec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Moravec

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