Gábor Ugray
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Language and Linguistics top 5%
- linguistics and terminology studies
- Syntax, Semantics, Linguistic Variation
Papers in
-
- Natural Language Processing Techniques 3
- Logic, programming, and type systems 1
- Software 1
- Model-Driven Software Engineering Techniques 1
- Co-authors
- Balázs Kis (2 shared papers)John A. Nerbonne (2 shared papers)Gosse Bouma (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Gábor Ugray
3 papers receiving 491 citations
Gábor Ugray's Hit Papers
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 320
- Language and Linguistics 82
- Experimental and Cognitive Psychology 43
- Developmental and Educational Psychology 23
- General Social Sciences 5
Countries citing papers authored by Gábor Ugray
This map shows the geographic impact of Gábor Ugray'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 Ugray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Ugray more than expected).
Fields of papers citing papers by Gábor Ugray
This network shows the impact of papers produced by Gábor Ugray. 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 Ugray. The network helps show where Gábor Ugray may publish in the future.
Co-authors
The 3 scholars most cited alongside Gábor Ugray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 4th International Conference on Language Resources and Evaluation Hit paper breakdown → | 2004 | 518 |
| 2 | Moose: a robust high-performance parser and generator | 2004 | 4 |
| 3 | 2004 | 3 |
About Gábor Ugray
Gábor Ugray is a scholar working on Artificial Intelligence, Software, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 3 papers that have together received 525 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Logic, programming, and type systems (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (320 citations), Language and Linguistics (82 citations), Experimental and Cognitive Psychology (43 citations), Developmental and Educational Psychology (23 citations) and General Social Sciences (5 citations). Gábor Ugray has collaborated with scholars based in Netherlands. Frequent co-authors include Balázs Kis, John A. Nerbonne and Gosse Bouma. Their work appears in journals such as Language Resources and Evaluation and Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
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.