Viktor Beneš

794 citations
70 papers · 477 indexed · h-index 11

Impact in

Papers in

Viktor Beneš

59 papers receiving 459 citations

Peers

Viktor Beneš
Comparison fields: 5 of 107
  • Statistics and Probability 83
  • Applied Mathematics 103
  • Finance 70
  • Geometry and Topology 38
  • Management Science and Operations Research 52
Replace Fanchao Kong with:
Fanchao Kong China
John E. Lavery United States
Long Feng China
Morteza Ebrahimi Iran
Yannan Sun United States
Eduardo Mendes France
Aleksey V. Nenarokomov Russia
Angel Urbina United States
Xiaoyong Chen China
Xiaohan Wei China
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Citations per field
00.5×6.9×
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Citations per year

Countries citing papers authored by Viktor Beneš

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Beneš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997103
2 201641
3 200638
4 200428
5 198027
6 201624
7 201117
8 199716
9 201012
10
Planar anisotropy revisited.
200011
11 201911
12 20199
13 20208
14 19988
15 20118
16 20137
17
Application of log Gaussian Cox processes in disease mapping
20036
18 20036
19 20036
20 20205

About Viktor Beneš

Viktor Beneš is a scholar working on Applied Mathematics, Geometry and Topology, Statistics and Probability, Artificial Intelligence and Mechanical Engineering, having authored 70 papers that have together received 477 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (29 papers), Morphological variations and asymmetry (10 papers), Soil Geostatistics and Mapping (6 papers), Microstructure and mechanical properties (5 papers), Adsorption, diffusion, and thermodynamic properties of materials (4 papers), Bayesian Methods and Mixture Models (4 papers), Aluminum Alloy Microstructure Properties (4 papers) and Geochemistry and Geologic Mapping (4 papers). The work is most often cited by research in Statistics and Probability (83 citations), Applied Mathematics (103 citations), Finance (70 citations), Geometry and Topology (38 citations) and Management Science and Operations Research (52 citations). Viktor Beneš has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Pavel Ctibor, René Boel, Volker Schmidt, Jan Rataj, A.M. Gokhale, Lorenz Holzer, Omar Pecho, Matthias Neumann, Jesper Möller and Rasmus Waagepetersen. Their work appears in journals such as Image Analysis & Stereology, Kybernetika, Materials Characterization, Journal of Microscopy and Advances in Applied Probability.

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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