Martin Popel

25 papers and 543 indexed citations i.

About

Martin Popel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Martin Popel has authored 25 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Martin Popel’s work include Natural Language Processing Techniques (23 papers), Topic Modeling (21 papers) and Text Readability and Simplification (5 papers). Martin Popel is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (21 papers) and Text Readability and Simplification (5 papers). Martin Popel collaborates with scholars based in Czechia, Germany and United States. Martin Popel's co-authors include Ondřej Bojar, Zdeněk Žabokrtský, David Mareček, Jakub Tomek, Jakob Uszkoreit, Markéta Tomková, Łukasz Kaiser, Michal Novák, Daniel Zeman and Maja Popović and has published in prestigious journals such as Nature Communications, Artificial Intelligence in Medicine and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Martin Popel i

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.

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).

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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2025