Pavel Pecina

249 total papers · 2.5k total citations
90 papers, 1.1k citations indexed

About

Pavel Pecina is a scholar working on Artificial Intelligence, Education and Molecular Biology. According to data from OpenAlex, Pavel Pecina has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 13 papers in Education and 12 papers in Molecular Biology. Recurrent topics in Pavel Pecina's work include Natural Language Processing Techniques (59 papers), Topic Modeling (51 papers) and Speech and dialogue systems (11 papers). Pavel Pecina is often cited by papers focused on Natural Language Processing Techniques (59 papers), Topic Modeling (51 papers) and Speech and dialogue systems (11 papers). Pavel Pecina collaborates with scholars based in Czechia, Ireland and Germany. Pavel Pecina's co-authors include Josef van Genabith, Aleš Tamchyna, Mohammed Attia, Antonio Toral, Johannes Leveling, Ondřej Bojar, Barry Haddow, Christian Federmann, Lucia Specia and Hervé Saint-Amand and has published in prestigious journals such as Computational Linguistics, Artificial Intelligence in Medicine and Language Resources and Evaluation.

In The Last Decade

Pavel Pecina

81 papers receiving 997 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 Pecina 952 177 127 87 86 90 1.1k
Vincenzo Lombardo 558 0.6× 228 1.3× 57 0.4× 29 0.3× 72 0.8× 121 992
Khalil Sima’an 1.1k 1.2× 214 1.2× 63 0.5× 53 0.6× 69 0.8× 86 1.3k
András Kornai 613 0.6× 76 0.4× 81 0.6× 56 0.6× 179 2.1× 75 1.0k
Magnus Sahlgren 959 1.0× 129 0.7× 132 1.0× 112 1.3× 53 0.6× 68 1.2k
Martin Rajman 976 1.0× 122 0.7× 257 2.0× 54 0.6× 128 1.5× 91 1.4k
Takenobu Tokunaga 1.0k 1.1× 136 0.8× 311 2.4× 84 1.0× 34 0.4× 144 1.2k
Lonneke van der Plas 992 1.0× 93 0.5× 118 0.9× 76 0.9× 151 1.8× 45 1.2k
Joseph Mariani 746 0.8× 93 0.5× 74 0.6× 40 0.5× 85 1.0× 55 982
Leo Wanner 1.1k 1.2× 98 0.6× 126 1.0× 93 1.1× 149 1.7× 161 1.5k
François Yvon 1.3k 1.3× 154 0.9× 100 0.8× 68 0.8× 57 0.7× 130 1.4k

Countries citing papers authored by Pavel Pecina

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Pecina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Pecina

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Pecina. A scholar is included among the top collaborators of Pavel Pecina 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 Pecina. Pavel Pecina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026