Viktor Nagy
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Semantic Web and Ontologies
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Language and Linguistics top 10%
- Translation Studies and Practices
- Lexicography and Language Studies
Papers in
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- Topic Modeling 3
- Natural Language Processing Techniques 3
- Text Readability and Simplification 1
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- Handwritten Text Recognition Techniques 1
- Co-authors
- Péter Halácsy (2 shared papers)András Kornai (2 shared papers)Viktor Trón (2 shared papers)Dániel Varga (2 shared papers)László Németh (1 shared paper)Csaba Oravecz (2 shared papers)
- Journals
- Language Resources and Evaluation (1 paper)Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory (1 paper)SZTAKI Publication Repository (Hungarian Academy of Sciences) (1 paper)
- Partner nations
- United KingdomHungary
In The Last Decade
Viktor Nagy
3 papers receiving 225 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 253
- Language and Linguistics 52
- Developmental and Educational Psychology 14
- Computer Vision and Pattern Recognition 21
- Linguistics and Language 3
Countries citing papers authored by Viktor Nagy
This map shows the geographic impact of Viktor Nagy'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 Viktor Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Nagy more than expected).
Fields of papers citing papers by Viktor Nagy
This network shows the impact of papers produced by Viktor Nagy. 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 Viktor Nagy. The network helps show where Viktor Nagy may publish in the future.
Co-authors
The 6 scholars most cited alongside Viktor Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Viktor Nagy
Viktor Nagy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 283 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Handwritten Text Recognition Techniques (1 paper), Text Readability and Simplification (1 paper) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (253 citations), Language and Linguistics (52 citations), Developmental and Educational Psychology (14 citations), Computer Vision and Pattern Recognition (21 citations) and Linguistics and Language (3 citations). Viktor Nagy has collaborated with scholars based in United Kingdom and Hungary. Frequent co-authors include Péter Halácsy, András Kornai, Viktor Trón, Dániel Varga, László Németh and Csaba Oravecz. Their work appears in journals such as Language Resources and Evaluation, Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory and SZTAKI Publication Repository (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.