Dániel Varga
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Text Readability and Simplification
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Language and Linguistics top 5%
- Lexicography and Language Studies
- linguistics and terminology studies
Papers in ⓘ
-
- Natural Language Processing Techniques 11
- Topic Modeling 11
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- Advanced machining processes and optimization 4
- Co-authors
- Ralf Steinberger (2 shared papers)Tomaž Erjavec (1 shared paper)Dan Tufiş (1 shared paper)Camelia Ignat (1 shared paper)Bruno Pouliquen (1 shared paper)András Kornai (6 shared papers)Péter Halácsy (5 shared papers)Viktor Trón (3 shared papers)
- Journals
- Language Resources and Evaluation (5 papers)IEEE Access (3 papers)Physical Culture and Sport Studies and Research (2 papers)Pathology & Oncology Research (1 paper)Neural Networks (1 paper)
- Partner nations
- HungarySlovakiaUnited Kingdom
In The Last Decade
Dániel Varga
36 papers receiving 429 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 384
- Language and Linguistics 61
- Process Chemistry and Technology 5
- Information Systems 34
- Developmental and Educational Psychology 19
Countries citing papers authored by Dániel Varga
This map shows the geographic impact of Dániel Varga'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 Dániel Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Varga more than expected).
Fields of papers citing papers by Dániel Varga
This network shows the impact of papers produced by Dániel Varga. 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 Dániel Varga. The network helps show where Dániel Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Varga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 273 | |
| 2 | 2005 | 41 | |
| 3 | 2006 | 28 | |
| 4 | 2016 | 28 | |
| 5 | DCEP -Digital Corpus of the European Parliament | 2014 | 17 |
| 6 | Hungarian named entity recognition with a maximum entropy approach | 2007 | 14 |
| 7 | 2021 | 13 | |
| 8 | 2007 | 11 | |
| 9 | Using a morphological analyzer in high precision POS tagging of Hungarian | 2006 | 10 |
| 10 | 2023 | 9 | |
| 11 | 2012 | 9 | |
| 12 | Rapid creation of large-scale corpora and frequency dictionaries | 2012 | 6 |
| 13 | 2018 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2008 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2017 | 3 | |
| 19 | A Hungarian NP Chunker | 2010 | 2 |
| 20 | 2015 | 2 |
About Dániel Varga
Dániel Varga is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Geology, having authored 41 papers that have together received 513 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers), Engineering Technology and Methodologies (6 papers), Advanced machining processes and optimization (4 papers), 3D Surveying and Cultural Heritage (4 papers), Robotics and Sensor-Based Localization (3 papers), Forensic and Genetic Research (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Artificial Intelligence (384 citations), Language and Linguistics (61 citations), Process Chemistry and Technology (5 citations), Information Systems (34 citations) and Developmental and Educational Psychology (19 citations). Dániel Varga has collaborated with scholars based in Hungary, Slovakia and United Kingdom. Frequent co-authors include Ralf Steinberger, Tomaž Erjavec, Dan Tufiş, Camelia Ignat, Bruno Pouliquen, András Kornai, Péter Halácsy, Viktor Trón, Eszter Simon and László Németh. Their work appears in journals such as Language Resources and Evaluation, IEEE Access, Physical Culture and Sport Studies and Research, Pathology & Oncology Research and Neural Networks.
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.