Martin Popel

109 total papers · 2.7k total citations
54 papers, 820 citations indexed

About

Martin Popel is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Popel has authored 54 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Popel's work include Natural Language Processing Techniques (46 papers), Topic Modeling (36 papers) and Text Readability and Simplification (12 papers). Martin Popel is often cited by papers focused on Natural Language Processing Techniques (46 papers), Topic Modeling (36 papers) and Text Readability and Simplification (12 papers). Martin Popel collaborates with scholars based in Czechia, United States and Germany. Martin Popel's co-authors include Ondřej Bojar, Zdeněk Žabokrtský, Daniel Zeman, David Mareček, Jan Hajič, Markéta Tomková, Jakob Uszkoreit, Łukasz Kaiser, Jakub Tomek and Slav Petrov and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Artificial Intelligence in Medicine.

In The Last Decade

Martin Popel

46 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Popel 699 128 63 55 41 54 820
Michael Bryant 378 0.5× 185 1.4× 26 0.4× 38 0.7× 70 1.7× 38 961
Bernard Victorri 283 0.4× 173 1.4× 125 2.0× 46 0.8× 6 0.1× 51 704
Bharat Ram Ambati 674 1.0× 110 0.9× 11 0.2× 66 1.2× 101 2.5× 22 806
Fei Xia 814 1.2× 110 0.9× 40 0.6× 186 3.4× 70 1.7× 55 1.0k
Gemma Boleda 821 1.2× 116 0.9× 119 1.9× 51 0.9× 38 0.9× 56 996
Alexander Panchenko 527 0.8× 57 0.4× 18 0.3× 86 1.6× 106 2.6× 109 843
Joseph Mariani 746 1.1× 93 0.7× 85 1.3× 40 0.7× 74 1.8× 55 982
Gorka Labaka 810 1.2× 141 1.1× 36 0.6× 45 0.8× 50 1.2× 51 896
Christian Buck 775 1.1× 160 1.3× 23 0.4× 47 0.9× 76 1.9× 19 851
Swabha Swayamdipta 877 1.3× 131 1.0× 11 0.2× 52 0.9× 97 2.4× 31 1.0k

Countries citing papers authored by Martin Popel

Since Specialization
Citations

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

Fields of papers citing papers by Martin Popel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Popel

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