Viktor Rudnev

18 total papers · 510 total citations
4 papers, 238 citations indexed

About

Viktor Rudnev is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Viktor Rudnev has authored 4 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Viktor Rudnev's work include Advanced Memory and Neural Computing (2 papers), Radiation Detection and Scintillator Technologies (1 paper) and Advanced MRI Techniques and Applications (1 paper). Viktor Rudnev is often cited by papers focused on Advanced Memory and Neural Computing (2 papers), Radiation Detection and Scintillator Technologies (1 paper) and Advanced MRI Techniques and Applications (1 paper). Viktor Rudnev collaborates with scholars based in Germany, United States and Israel. Viktor Rudnev's co-authors include Christian Theobalt, Lingjie Liu, Kripasindhu Sarkar, Marc Habermann, Jiatao Gu, Vladislav Golyanik, Mohamed Elgharib, Hans‐Peter Seidel, Franziska Mueller and Diogo Luvizon and has published in prestigious journals such as ACM Transactions on Graphics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Viktor Rudnev

4 papers receiving 226 citations

Hit Papers

Neural actor 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Viktor Rudnev 184 140 95 29 22 4 238
M. Ikits 178 1.0× 91 0.7× 150 1.6× 54 1.9× 6 0.3× 8 301
R. Keith Morley 159 0.9× 90 0.6× 171 1.8× 6 0.2× 18 0.8× 7 277
Haithem Turki 198 1.1× 65 0.5× 117 1.2× 11 0.4× 12 0.5× 7 281
Shanchuan Lin 216 1.2× 55 0.4× 46 0.5× 17 0.6× 10 0.5× 5 308
Linqi Zhou 159 0.9× 150 1.1× 122 1.3× 18 0.6× 4 0.2× 8 303
Ang Cao 207 1.1× 81 0.6× 130 1.4× 13 0.4× 13 0.6× 10 265
Philipp Henzler 220 1.2× 100 0.7× 110 1.2× 13 0.4× 4 0.2× 9 299
Shih-Yang Su 217 1.2× 37 0.3× 94 1.0× 16 0.6× 5 0.2× 8 263
WILLIAM F. WHITNEY 238 1.3× 46 0.3× 47 0.5× 16 0.6× 4 0.2× 7 303
Yi Li 284 1.5× 89 0.6× 39 0.4× 10 0.3× 9 0.4× 9 321

Countries citing papers authored by Viktor Rudnev

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Rudnev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Rudnev

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Rudnev. A scholar is included among the top collaborators of Viktor Rudnev 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 Rudnev. Viktor Rudnev 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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