Beáta Megyesi

29 papers and 142 indexed citations i.

About

Beáta Megyesi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Political Science and International Relations. According to data from OpenAlex, Beáta Megyesi has authored 29 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Political Science and International Relations. Recurrent topics in Beáta Megyesi’s work include Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Algorithms and Data Compression (7 papers). Beáta Megyesi is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Algorithms and Data Compression (7 papers). Beáta Megyesi collaborates with scholars based in Sweden, Hungary and Germany. Beáta Megyesi's co-authors include Joakim Nivre, Eva Pettersson, Alícia Fornés, Sumithra Velupillai, Kelly Smith, Maria Kvist, Arno Wacker, Kevin Knight, Kjell Elenius and Éva Ágnes Csató and has published in prestigious journals such as Language Resources and Evaluation, Nordic Journal of Linguistics and Cryptologia.

In The Last Decade

Co-authorship network of co-authors of Beáta Megyesi i

Fields of papers citing papers by Beáta Megyesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beáta Megyesi

Since Specialization
Citations

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