Denis Gudovskiy

About

Denis Gudovskiy is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Denis Gudovskiy has authored 7 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Denis Gudovskiy’s work include Machine Learning and Data Classification (2 papers), Frequency Estimation in Electrical Metrology (2 papers) and Machine Learning and Algorithms (2 papers). Denis Gudovskiy is often cited by papers focused on Machine Learning and Data Classification (2 papers), Frequency Estimation in Electrical Metrology (2 papers) and Machine Learning and Algorithms (2 papers). Denis Gudovskiy collaborates with scholars based in Japan, United States and China. Denis Gudovskiy's co-authors include Shun Ishizaka, Kazuki Kozuka, Takuya Yamaguchi, Luca Rigazio, Zhengxiang Ma, Dennis R. Morgan, J. Pastalan, Jiaming Liu, Rongyu Zhang and Yulin Luo and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Communications Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Denis Gudovskiy i

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Fields of papers citing papers by Denis Gudovskiy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Denis Gudovskiy

Since Specialization

Citations

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