Dániel Varga

1.2k citations
45 papers · 861 · h-index 11

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Semantic Web and Ontologies
    • Speech and dialogue systems
    • Lexicography and Language Studies
    • Translation Studies and Practices
    • linguistics and terminology studies

Papers in

Dániel Varga

42 papers receiving 717 citations

Peers

Dániel Varga
Comparison fields: 5 of 88
  • Artificial Intelligence 703
  • Language and Linguistics 122
  • Information Systems 55
  • Computer Vision and Pattern Recognition 46
  • Process Chemistry and Technology 5
Replace Tim Schlippe with:
Tim Schlippe Germany
Timo Järvinen Finland
Ryu Iida Japan
Anil Kumar Singh India
Tiago Pimentel Switzerland
Miriam R. L. Petruck United States
Christian Girardi Italy
Gorka Labaka Spain
Genta Indra Winata Hong Kong
Weiwei Yang China
Dániel Varga relative to Tim Schlippe Germany Tim Schlippe's profile →
Citations per field
00.5×1.5×1.9×
Tim Schlippe · 1×
Citations per year

Countries citing papers authored by Dániel Varga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dániel Varga Line = papers co-authored together Dániel Varga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006330
2 2007252
3 200549
4 200630
5 201628
6 201420
7 200614
8
Hungarian named entity recognition with a maximum entropy approach
200714
9 202114
10 200712
11 202310
12 20129
13 20247
14 20126
15 20146
16 20186
17 20086
18
Recent Advances in Natural Language Processing IV.
20075
19 20125
20
A Hungarian NP Chunker
20103

About Dániel Varga

Dániel Varga is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition, Geology and Industrial and Manufacturing Engineering, having authored 45 papers that have together received 861 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Engineering Technology and Methodologies (6 papers), 3D Surveying and Cultural Heritage (6 papers), Robotics and Sensor-Based Localization (5 papers), Advanced machining processes and optimization (4 papers), Phase Equilibria and Thermodynamics (2 papers) and Welding Techniques and Residual Stresses (2 papers). The work is most often cited by research in Artificial Intelligence (703 citations), Language and Linguistics (122 citations), Information Systems (55 citations), Computer Vision and Pattern Recognition (46 citations) and Process Chemistry and Technology (5 citations). Dániel Varga has collaborated with scholars based in Hungary, Slovakia and United Kingdom. Frequent co-authors include András Kornai, Péter Halácsy, Viktor Trón, László Németh, Ralf Steinberger, Dan Tufiş, Viktor Nagy, Bruno Pouliquen, Camelia Ignat and Tomaž Erjavec. Their work appears in journals such as Language Resources and Evaluation, IEEE Access, Physical Culture and Sport Studies and Research, Chemical Engineering & Technology and Sensors.

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