D. Torbunov

About

D. Torbunov is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, D. Torbunov has authored 3 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Atomic and Molecular Physics, and Optics, 1 paper in Astronomy and Astrophysics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in D. Torbunov’s work include Computer Graphics and Visualization Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Black Holes and Theoretical Physics (1 paper). D. Torbunov is often cited by papers focused on Computer Graphics and Visualization Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Black Holes and Theoretical Physics (1 paper). D. Torbunov collaborates with scholars based in United States and Russia. D. Torbunov's co-authors include H. Yu, Shinjae Yoo, Jin Huang, Yihui Ren, Yi Huang, Meifeng Lin, Andrey V. Chubukov, Gérard Clément, D.V. Gal’tsov and Dmitrii L. Maslov and has published in prestigious journals such as Physical review. B., Physical review. D and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Co-authorship network of co-authors of D. Torbunov i

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Fields of papers citing papers by D. Torbunov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by D. Torbunov

Since Specialization

Citations

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

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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