Viktor Nagy

405 total citations
2 papers, 29 citations indexed

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 29 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 Handwritten Text Recognition Techniques (1 paper). Viktor Nagy is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Handwritten Text Recognition Techniques (1 paper). Viktor Nagy collaborates with scholars based in Hungary and United Kingdom. Viktor Nagy's co-authors include Csaba Oravecz, András Kornai, Viktor Trón, Péter Halácsy and Dániel Varga and has published in prestigious journals such as Language Resources and Evaluation.

In The Last Decade

Viktor Nagy

2 papers receiving 26 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Viktor Nagy Hungary	2	13	12	12	5	5	2	29
Diane Caroline Mézière Finland	2	9 0.7×	12 1.0×	17 1.4×	8 1.6×	4 0.8×	4	33
Maxim I. Stamenov Bulgaria	3	24 1.8×	3 0.3×	8 0.7×	8 1.6×	5 1.0×	9	35
Joël Pynte France	3	23 1.8×	6 0.5×	24 2.0×	6 1.2×	3 0.6×	7	38
Christine Potter United States	3	20 1.5×	6 0.5×	32 2.7×	11 2.2×	4 0.8×	5	40
Giorgio Paulon United States	3	9 0.7×	10 0.8×	11 0.9×	5 1.0×		7	35
Jaap Jumelet Netherlands	4	11 0.8×	46 3.8×	5 0.4×	7 1.4×	3 0.6×	10	58
J. Muñoz Vidal Argentina	4	4 0.3×	18 1.5×	3 0.3×	9 1.8×	6 1.2×	9	27
Aina Garí Soler France	5	10 0.8×	40 3.3×	7 0.6×	4 0.8×	2 0.4×	11	57
Long Ouyang China	3	6 0.5×	9 0.8×	5 0.4×	8 1.6×	1 0.2×	8	24
William Lamb Finland	4	4 0.3×	11 0.9×	4 0.3×	8 1.6×	19 3.8×	21	59

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).

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.

Co-authorship network of co-authors of Viktor Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Nagy. A scholar is included among the top collaborators of Viktor Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Viktor Nagy. Viktor Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Kornai, András, Péter Halácsy, Viktor Nagy, et al.. (2006). Web-based frequency dictionaries for medium density languages. 1–8. 28 indexed citations

2.

Nagy, Viktor, et al.. (2004). Combining Symbolic and Statistical Methods in Morphological Analysis and Unknown Word Guessing. Language Resources and Evaluation. 1 indexed citations

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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