Csaba Oravecz

415 total citations
13 papers, 259 citations indexed

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 13 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 13 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 Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (4 papers). Csaba Oravecz is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (4 papers). Csaba Oravecz collaborates with scholars based in Hungary, Germany and United Kingdom. Csaba Oravecz's co-authors include András Kornai, Péter Halácsy, Tamás Váradi, Viktor Trón, Dániel Varga, Viktor Nagy, Dan Tufiş, László Tihanyi, Andreas Eisele and Tomaž Erjavec 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

Csaba Oravecz

12 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Csaba Oravecz Hungary 7 215 50 16 16 15 13 259
Wolfgang Lezius Germany 8 245 1.1× 57 1.1× 10 0.6× 9 0.6× 16 1.1× 12 277
Shu‐Kai Hsieh Taiwan 7 184 0.9× 32 0.6× 8 0.5× 25 1.6× 15 1.0× 52 237
Lynne Cahill United Kingdom 11 198 0.9× 38 0.8× 13 0.8× 35 2.2× 14 0.9× 28 252
Keith Suderman United States 8 244 1.1× 39 0.8× 12 0.8× 9 0.6× 13 0.9× 23 273
Ján Mačutek Slovakia 9 135 0.6× 43 0.9× 14 0.9× 15 0.9× 11 0.7× 42 223
Vladislav Kuboň Czechia 8 208 1.0× 46 0.9× 5 0.3× 13 0.8× 6 0.4× 36 240
Kilian A. Foth Germany 10 252 1.2× 24 0.5× 21 1.3× 14 0.9× 19 1.3× 26 310
Heike Zinsmeister Germany 10 226 1.1× 143 2.9× 12 0.8× 27 1.7× 18 1.2× 47 319
Rodger Kibble United Kingdom 12 325 1.5× 118 2.4× 15 0.9× 69 4.3× 12 0.8× 24 405
Sandiway Fong United States 7 139 0.6× 55 1.1× 28 1.8× 20 1.3× 17 1.1× 29 204

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).

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.

Co-authorship network of co-authors of Csaba Oravecz

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Oravecz. A scholar is included among the top collaborators of Csaba Oravecz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Csaba Oravecz. Csaba Oravecz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Oravecz, Csaba, et al.. (2020). eTranslation’s Submissions to the WMT 2020 News Translation Task. Empirical Methods in Natural Language Processing. 254–261.
2.
Oravecz, Csaba, et al.. (2019). eTranslation’s Submissions to the WMT 2019 News Translation Task. 320–326. 5 indexed citations
3.
Oravecz, Csaba, et al.. (2016). A new integrated open-source morphological analyzer for Hungarian. Language Resources and Evaluation. 1315–1322. 6 indexed citations
4.
Oravecz, Csaba, et al.. (2014). The Hungarian Gigaword Corpus. Language Resources and Evaluation. 1719–1723. 38 indexed citations
5.
Erjavec, Tomaž, Ludmiła Dimitrova, Cvetana Krstev, et al.. (2010). MULTEXT-East "1984" annotated corpus 4.0. Americanae (AECID Library). 1 indexed citations
6.
Halácsy, Péter, András Kornai, & Csaba Oravecz. (2007). Poster paper: HunPos -- an open source trigram tagger. Meeting of the Association for Computational Linguistics. 209–212. 4 indexed citations
7.
Halácsy, Péter, András Kornai, & Csaba Oravecz. (2007). HunPos. 209–209. 139 indexed citations
8.
Halácsy, Péter, András Kornai, Csaba Oravecz, Viktor Trón, & Dániel Varga. (2006). Using a morphological analyzer in high precision POS tagging of Hungarian. Language Resources and Evaluation. 2245–2248. 10 indexed citations
9.
Kornai, András, Péter Halácsy, Viktor Nagy, et al.. (2006). Web-based frequency dictionaries for medium density languages. 1–8. 28 indexed citations
10.
Nagy, Viktor, et al.. (2004). Combining Symbolic and Statistical Methods in Morphological Analysis and Unknown Word Guessing. Language Resources and Evaluation. 1 indexed citations
11.
Oravecz, Csaba, et al.. (2002). Efficient Stochastic Part-of-Speech Tagging for Hungarian. Language Resources and Evaluation. 14 indexed citations
12.
Tufiş, Dan, et al.. (2000). Principled Hidden Tagset Design for Tiered Tagging of Hungarian. Language Resources and Evaluation. 11 indexed citations
13.
Oravecz, Csaba, et al.. (2000). Bottom-Up Tagset Design from Maximally Reduced Tagset. International Conference on Computational Linguistics. 42–47. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026