Viktor Nagy

2 papers and 23 indexed citations i.

About

Viktor Nagy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Viktor Nagy has authored 2 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Language and Linguistics. Recurrent topics in Viktor Nagy’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Lexicography and Language Studies (1 paper). Viktor Nagy is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Lexicography and Language Studies (1 paper). Viktor Nagy collaborates with scholars based in United Kingdom. Viktor Nagy's co-authors include András Kornai, Dániel Varga, Csaba Oravecz, Viktor Trón and Péter Halácsy and has published in prestigious journals such as Language Resources and Evaluation and SZTAKI Publication Repository (Hungarian Academy of Sciences).

In The Last Decade

Co-authorship network of co-authors of Viktor Nagy i

Fields of papers citing papers by Viktor Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Viktor Nagy

Since Specialization
Citations

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).

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.

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2025