Csaba Oravecz

10 papers and 72 indexed citations i.

About

Csaba Oravecz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Csaba Oravecz has authored 10 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Language and Linguistics. Recurrent topics in Csaba Oravecz’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Lexicography and Language Studies (2 papers). Csaba Oravecz is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Lexicography and Language Studies (2 papers). Csaba Oravecz collaborates with scholars based in Hungary, United Kingdom and Germany. Csaba Oravecz's co-authors include Tamás Váradi, András Kornai, Péter Halácsy, Viktor Nagy, Viktor Trón, Dániel Varga, Dan Tufiş, Andreas Eisele and László Tihanyi and has published in prestigious journals such as Language Resources and Evaluation, Empirical Methods in Natural Language Processing and Meeting of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Csaba Oravecz i

Fields of papers citing papers by Csaba Oravecz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Csaba Oravecz

Since Specialization
Citations

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