Gábor Berend

27 papers and 150 indexed citations i.

About

Gábor Berend is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gábor Berend has authored 27 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Gábor Berend’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (10 papers). Gábor Berend is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (10 papers). Gábor Berend collaborates with scholars based in Hungary, Slovakia and United States. Gábor Berend's co-authors include Veronika Vincze, Richàrd Farkas, Ervin Tasnádi, Elena Lloret, Iacer Calixto, Albert Gatt, Barbara Plank, Elena‐Simona Apostol, Ciprian‐Octavian Truică and György Turán and has published in prestigious journals such as Journal of Artificial Intelligence Research, Natural Language Engineering and EPJ Data Science.

In The Last Decade

Co-authorship network of co-authors of Gábor Berend i

Fields of papers citing papers by Gábor Berend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Berend

Since Specialization
Citations

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