Dmytro Kotovenko

560 total citations
4 papers, 156 citations indexed

About

Dmytro Kotovenko is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience. According to data from OpenAlex, Dmytro Kotovenko has authored 4 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Cognitive Neuroscience. Recurrent topics in Dmytro Kotovenko's work include Generative Adversarial Networks and Image Synthesis (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Vision and Imaging (2 papers). Dmytro Kotovenko is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Vision and Imaging (2 papers). Dmytro Kotovenko collaborates with scholars based in Germany and United States. Dmytro Kotovenko's co-authors include Björn Ommer, Artsiom Sanakoyeu, Sabine Lang and Pingchuan Ma and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Dmytro Kotovenko

4 papers receiving 150 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmytro Kotovenko Germany 3 145 44 17 16 15 4 156
Oran Gafni Israel 3 145 1.0× 26 0.6× 29 1.7× 7 0.4× 26 1.7× 4 167
Tiziano Portenier Switzerland 6 142 1.0× 24 0.5× 9 0.5× 5 0.3× 21 1.4× 12 161
Zili Yi Canada 5 266 1.8× 51 1.2× 6 0.4× 7 0.4× 24 1.6× 11 298
Min Jin Chong United States 6 152 1.0× 18 0.4× 10 0.6× 12 0.8× 42 2.8× 8 192
Jonathan Granskog United States 4 162 1.1× 74 1.7× 15 0.9× 4 0.3× 18 1.2× 7 206
Roman Bachmann Switzerland 2 70 0.5× 30 0.7× 5 0.3× 8 0.5× 17 1.1× 3 98
Eiichi Matsumoto Japan 3 210 1.4× 33 0.8× 29 1.7× 4 0.3× 30 2.0× 4 233
Omer Bar-Tal Israel 3 90 0.6× 23 0.5× 15 0.9× 2 0.1× 14 0.9× 6 119
Alberto Baldrati Italy 7 231 1.6× 17 0.4× 7 0.4× 8 0.5× 68 4.5× 11 274
Zhewei Huang China 2 65 0.4× 49 1.1× 2 0.1× 15 0.9× 14 0.9× 2 87

Countries citing papers authored by Dmytro Kotovenko

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Kotovenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Kotovenko

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

All Works

4 of 4 papers shown
1.
Ma, Pingchuan, et al.. (2025). DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 39(3). 3203–3211. 2 indexed citations
2.
Kotovenko, Dmytro, et al.. (2023). Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. 11070–11081. 4 indexed citations
3.
Kotovenko, Dmytro, et al.. (2019). A Content Transformation Block for Image Style Transfer. 10024–10033. 55 indexed citations
4.
Kotovenko, Dmytro, Artsiom Sanakoyeu, Sabine Lang, & Björn Ommer. (2019). Content and Style Disentanglement for Artistic Style Transfer. 4421–4430. 95 indexed citations

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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