Zdeňka Urešová

18 papers and 267 indexed citations i.

About

Zdeňka Urešová is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Zdeňka Urešová has authored 18 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Language and Linguistics and 4 papers in Molecular Biology. Recurrent topics in Zdeňka Urešová’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (12 papers) and Biomedical Text Mining and Ontologies (4 papers). Zdeňka Urešová is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (12 papers) and Biomedical Text Mining and Ontologies (4 papers). Zdeňka Urešová collaborates with scholars based in Czechia, United States and Sweden. Zdeňka Urešová's co-authors include Jan Hajič, Stephan Oepen, Marco Kuhlmann, Silvie Cinková, Daniel Zeman, Dan Flickinger, Yusuke Miyao, Ondřej Bojar, Eva Fučíková and Nianwen Xue and has published in prestigious journals such as Artificial Intelligence in Medicine, Language Resources and Evaluation and International Journal of Lexicography.

In The Last Decade

Co-authorship network of co-authors of Zdeňka Urešová i

Fields of papers citing papers by Zdeňka Urešová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zdeňka Urešová

Since Specialization
Citations

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