Vladimir Nekrasov

6 papers and 211 indexed citations i.

About

Vladimir Nekrasov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Vladimir Nekrasov has authored 6 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Vladimir Nekrasov’s work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Vladimir Nekrasov is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Vladimir Nekrasov collaborates with scholars based in Australia. Vladimir Nekrasov's co-authors include Ian Reid, Chunhua Shen, Hao Chen, Tom Drummond, Thanuja Dharmasiri and Jaesik Choi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Co-authorship network of co-authors of Vladimir Nekrasov i

Fields of papers citing papers by Vladimir Nekrasov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Nekrasov

Since Specialization
Citations

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