László Neumann

64 papers receiving 917 citations

Peers

László Neumann
Comparison fields: 5 of 99
  • Computer Graphics and Computer-Aided Design 183
  • Computer Vision and Pattern Recognition 593
  • Public Administration 76
  • Media Technology 179
  • Geology 43
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Andrés Almansa France
Robert Clear United States
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Hiromasa Suzuki Japan
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Citations per field
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Citations per year

Countries citing papers authored by László Neumann

Since Specialization
Citations

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

Fields of papers citing papers by László Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside László Neumann, 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 László Neumann Line = papers co-authored together László Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 200783
3 201565
4 200854
5 200049
6 201149
7 201745
8
Image Attributes and Quality for Evaluation of Tone Mapping Operators
200644
9 201241
10 199936
11 200832
12 201130
13
The Hungarian labour market : review and analysis
200228
14 201527
15 201422
16 200819
17 199818
18 199717
19 199714
20 199513

About László Neumann

László Neumann is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Media Technology and Public Administration, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Color Science and Applications (18 papers), Image Enhancement Techniques (17 papers), Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (11 papers), Labor Movements and Unions (11 papers), Advanced Image Fusion Techniques (10 papers), Social Policy and Reform Studies (9 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (183 citations), Computer Vision and Pattern Recognition (593 citations), Public Administration (76 citations), Media Technology (179 citations) and Geology (43 citations). László Neumann has collaborated with scholars based in Spain, Hungary and Austria. Frequent co-authors include Rafael García, Martin Čadík, Alessandro Artusi, Michael Wimmer, Antal Nemcsics, Ricard Prados, Nuno Gracias, László Szirmay‐Kalos, Balázs Csébfalvi and Gianfranco Bianco. Their work appears in journals such as Computer Graphics Forum, European Journal of Industrial Relations, Transfer European Review of Labour and Research, IEEE Transactions on Magnetics and Journal of Applied Physics.

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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