Yaroslav Ganin

11.4k total citations
4 papers, 75 citations indexed

About

Yaroslav Ganin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yaroslav Ganin has authored 4 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in Yaroslav Ganin's work include Sparse and Compressive Sensing Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computer Graphics and Visualization Techniques (1 paper). Yaroslav Ganin is often cited by papers focused on Sparse and Compressive Sensing Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computer Graphics and Visualization Techniques (1 paper). Yaroslav Ganin collaborates with scholars based in Canada, United Kingdom and Russia. Yaroslav Ganin's co-authors include Victor Lempitsky, Evgeniya Ustinova, Pascal Germain, François Laviolette, Mario Marchand, Hugo Larochelle, S. M. Ali Eslami, Peter Battaglia, Oriol Vinyals and I. Babuschkin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Yaroslav Ganin

4 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaroslav Ganin Canada 4 34 32 14 11 9 4 75
Samarth Sinha Canada 6 53 1.6× 29 0.9× 10 0.7× 4 0.4× 11 1.2× 11 85
Sudhakar Kumawat India 4 76 2.2× 24 0.8× 38 2.7× 6 0.5× 8 0.9× 6 115
Shelly Sheynin Israel 3 26 0.8× 55 1.7× 3 0.2× 8 0.7× 6 0.7× 3 97
Roman Bachmann Switzerland 2 70 2.1× 17 0.5× 23 1.6× 3 0.3× 30 3.3× 3 98
Sina Honari Switzerland 7 138 4.1× 45 1.4× 8 0.6× 8 0.7× 4 0.4× 15 165
Hsiao-Yu Fish Tung United States 6 73 2.1× 32 1.0× 35 2.5× 17 1.5× 4 0.4× 16 128
Angtian Wang United States 4 89 2.6× 27 0.8× 7 0.5× 14 1.3× 10 127
Vighnesh Birodkar United States 4 141 4.1× 60 1.9× 4 0.3× 7 0.6× 6 0.7× 4 168
Jiaxiang Shang China 3 78 2.3× 35 1.1× 11 0.8× 4 0.4× 6 0.7× 6 114
Fuwen Tan United States 7 173 5.1× 47 1.5× 28 2.0× 3 0.3× 16 1.8× 11 201

Countries citing papers authored by Yaroslav Ganin

Since Specialization
Citations

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

Fields of papers citing papers by Yaroslav Ganin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaroslav Ganin

This figure shows the co-authorship network connecting the top 25 collaborators of Yaroslav Ganin. A scholar is included among the top collaborators of Yaroslav Ganin 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 Yaroslav Ganin. Yaroslav Ganin 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.
Ganin, Yaroslav, et al.. (2020). PolyGen: An Autoregressive Generative Model of 3D Meshes. International Conference on Machine Learning. 1. 7220–7229. 12 indexed citations
2.
Ganin, Yaroslav, Tejas Kulkarni, I. Babuschkin, S. M. Ali Eslami, & Oriol Vinyals. (2018). Synthesizing Programs for Images using Reinforced Adversarial Learning.. International Conference on Machine Learning. 1666–1675. 11 indexed citations
3.
Ganin, Yaroslav, et al.. (2017). Photorealistic Monocular Gaze Redirection Using Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(11). 2696–2710. 10 indexed citations
4.
Ganin, Yaroslav, Evgeniya Ustinova, Pascal Germain, et al.. (2015). Domain-Adversarial Training of Neural Networks. arXiv (Cornell University). 42 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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