László G. Nyúl

89 total papers · 2.5k total citations
45 papers, 848 citations indexed

About

László G. Nyúl is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, László G. Nyúl has authored 45 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Information Systems. Recurrent topics in László G. Nyúl's work include Medical Image Segmentation Techniques (11 papers), Digital Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). László G. Nyúl is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Digital Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). László G. Nyúl collaborates with scholars based in Hungary, United States and Austria. László G. Nyúl's co-authors include Jayaram K. Udupa, Jörg Meier, Joachim Hornegger, Rüdiger Bock, Georg Michelson, Yulin Ge, Dennis L. Kolson, Alexandre X. Falcão, Punam K. Saha and James S. Babb and has published in prestigious journals such as PLoS ONE, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

László G. Nyúl

43 papers receiving 797 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
László G. Nyúl 458 440 281 117 84 45 848
Abhijit Das 170 0.4× 232 0.5× 93 0.3× 81 0.7× 52 0.6× 71 728
Peter Stanchev 367 0.8× 225 0.5× 33 0.1× 32 0.3× 128 1.5× 72 987
Bilal Hassan 395 0.9× 313 0.7× 296 1.1× 15 0.1× 161 1.9× 72 1.0k
Can Zhao 369 0.8× 369 0.8× 23 0.1× 27 0.2× 136 1.6× 46 839
Abhir Bhalerao 300 0.7× 466 1.1× 107 0.4× 9 0.1× 102 1.2× 77 989
Michal Sofka 483 1.1× 555 1.3× 192 0.7× 8 0.1× 110 1.3× 33 970
Liang Zhang 416 0.9× 115 0.3× 452 1.6× 85 0.7× 122 1.5× 61 1.0k
Andrew J. Asman 336 0.7× 376 0.9× 41 0.1× 48 0.4× 142 1.7× 35 752
Georgios C. Manikis 476 1.0× 109 0.2× 129 0.5× 13 0.1× 71 0.8× 65 775
S. Prabakaran 371 0.8× 66 0.1× 442 1.6× 27 0.2× 123 1.5× 46 938

Countries citing papers authored by László G. Nyúl

Since Specialization
Citations

This map shows the geographic impact of László G. Nyúl'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 László G. Nyúl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László G. Nyúl more than expected).

Fields of papers citing papers by László G. Nyúl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by László G. Nyúl. 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 László G. Nyúl. The network helps show where László G. Nyúl may publish in the future.

Co-authorship network of co-authors of László G. Nyúl

This figure shows the co-authorship network connecting the top 25 collaborators of László G. Nyúl. A scholar is included among the top collaborators of László G. Nyúl 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 László G. Nyúl. László G. Nyúl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026