Jarmila Panevová

12 papers and 75 indexed citations i.

About

Jarmila Panevová is a scholar working on Artificial Intelligence, Language and Linguistics and Linguistics and Language. According to data from OpenAlex, Jarmila Panevová has authored 12 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Language and Linguistics and 2 papers in Linguistics and Language. Recurrent topics in Jarmila Panevová’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (3 papers) and linguistics and terminology studies (3 papers). Jarmila Panevová is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (3 papers) and linguistics and terminology studies (3 papers). Jarmila Panevová collaborates with scholars based in Czechia. Jarmila Panevová's co-authors include Petr Sgall, Eva Hajičová, Jan Popelka, Silvie Cinková, Petr Pajas, Zdeňka Urešová, Zdeněk Žabokrtský, Ondřej Bojar, Eva Fučíková and Jan Hajič and has published in prestigious journals such as Language Resources and Evaluation, Theoretical Linguistics and Revue des études slaves.

In The Last Decade

Co-authorship network of co-authors of Jarmila Panevová i

Fields of papers citing papers by Jarmila Panevová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jarmila Panevová

Since Specialization
Citations

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