László Németh

1.1k citations
51 papers · 756 · h-index 12

Impact in

Papers in

László Németh

36 papers receiving 635 citations

Peers

László Németh
Comparison fields: 5 of 126
  • Artificial Intelligence 358
  • Renewable Energy, Sustainability and the Environment 100
  • Language and Linguistics 68
  • Environmental Chemistry 39
  • Architecture 5
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Citations per field
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Citations per year

Countries citing papers authored by László Németh

Since Specialization
Citations

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

Fields of papers citing papers by László Németh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007260
2 2004126
3 200461
4 200547
5 197944
6 201722
7 200020
8
Leveraging the open source ispell codebase for minority language analysis
200417
9
[Study of the effects of vinpocetin on cognitive functions].
201216
10 197314
11 199313
12 201513
13 202110
14 20138
15 20168
16 19757
17 19716
18 19786
19 19566
20
Recent Advances in Natural Language Processing IV.
20075

About László Németh

László Németh is a scholar working on Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Discrete Mathematics and Combinatorics, having authored 51 papers that have together received 756 indexed citations. Recurring topics across this work include Mathematics and Applications (14 papers), Mathematical Dynamics and Fractals (7 papers), Advanced Mathematical Theories and Applications (7 papers), Natural Language Processing Techniques (5 papers), graph theory and CDMA systems (4 papers), Topic Modeling (4 papers), Advanced Differential Equations and Dynamical Systems (4 papers) and Advanced Combinatorial Mathematics (4 papers). The work is most often cited by research in Artificial Intelligence (358 citations), Renewable Energy, Sustainability and the Environment (100 citations), Language and Linguistics (68 citations), Environmental Chemistry (39 citations) and Architecture (5 citations). László Németh has collaborated with scholars based in Hungary, Slovakia and United Kingdom. Frequent co-authors include András Kornai, Péter Halácsy, Viktor Trón, Dániel Varga, Viktor Nagy, Hassan Abdelsalam Fathy, Martina Bancı́řová, Miroslav Strnad, Vince Ördög and René Lenobel. Their work appears in journals such as Leonardo, Results in Mathematics, Discrete Applied Mathematics, Forests and Journal of Applied Phycology.

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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