Tom Kocmi

13 papers and 39 indexed citations i.

About

Tom Kocmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tom Kocmi has authored 13 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Tom Kocmi’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text Readability and Simplification (3 papers). Tom Kocmi is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text Readability and Simplification (3 papers). Tom Kocmi collaborates with scholars based in Czechia, United States and China. Tom Kocmi's co-authors include Ondřej Bojar, Jindřich Libovický, Jindřich Helcl, Milan Straka, Christian Federmann, Jan Hajič, Zdeněk Žabokrtský, Shehzaad Dhuliawala, Vikas Raunak and Dušan Variš and has published in prestigious journals such as Language Resources and Evaluation, Edinburgh Research Explorer (University of Edinburgh) and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Co-authorship network of co-authors of Tom Kocmi i

Fields of papers citing papers by Tom Kocmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Kocmi

Since Specialization
Citations

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