Rudolf Rosa

71 total papers · 610 total citations
35 papers, 292 citations indexed

About

Rudolf Rosa is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rudolf Rosa has authored 35 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rudolf Rosa's work include Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (7 papers). Rudolf Rosa is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (7 papers). Rudolf Rosa collaborates with scholars based in Czechia and Ireland. Rudolf Rosa's co-authors include David Mareček, Zdeněk Žabokrtský, Ondřej Bojar, Aleš Tamchyna, Martin Popel, Daniel Zeman, Ondřej Dušek, Michal Novák, J. Mašek and Pavel Pecina and has published in prestigious journals such as Artificial Intelligence in Medicine, Language Resources and Evaluation and IEEE Transactions on Learning Technologies.

In The Last Decade

Rudolf Rosa

34 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Rudolf Rosa 277 34 20 17 12 35 292
Ruiji Fu 324 1.2× 40 1.2× 29 1.4× 36 2.1× 10 0.8× 21 347
Diganta Saha 307 1.1× 18 0.5× 21 1.1× 28 1.6× 17 1.4× 29 336
Simon Dobnik 309 1.1× 57 1.7× 50 2.5× 33 1.9× 20 1.7× 32 359
Kilian Evang 312 1.1× 14 0.4× 34 1.7× 21 1.2× 25 2.1× 25 338
Tilman Becker 250 0.9× 23 0.7× 13 0.7× 29 1.7× 22 1.8× 39 293
Harald Trost 223 0.8× 15 0.4× 16 0.8× 21 1.2× 31 2.6× 40 260
Djamé Seddah 312 1.1× 16 0.5× 33 1.6× 11 0.6× 16 1.3× 40 326
Michal Novák 180 0.6× 40 1.2× 9 0.5× 10 0.6× 14 1.2× 39 217
Alok Ranjan Pal 285 1.0× 19 0.6× 17 0.8× 25 1.5× 15 1.3× 26 309
Tim O’Gorman 314 1.1× 26 0.8× 33 1.6× 21 1.2× 9 0.8× 25 327

Countries citing papers authored by Rudolf Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf Rosa

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