Elyor Kodirov

12 papers and 446 indexed citations i.

About

Elyor Kodirov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Elyor Kodirov has authored 12 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Elyor Kodirov’s work include Domain Adaptation and Few-Shot Learning (5 papers), Human Pose and Action Recognition (4 papers) and Machine Learning and Data Classification (4 papers). Elyor Kodirov is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Human Pose and Action Recognition (4 papers) and Machine Learning and Data Classification (4 papers). Elyor Kodirov collaborates with scholars based in United Kingdom. Elyor Kodirov's co-authors include Tao Xiang, Zhenyong Fu, Shaogang Gong, Hua Yang, Neil M. Robertson, Xinshao Wang, Guosheng Hu, Romain Garnier, David A. Clifton and Neil Robertson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Elyor Kodirov i

Fields of papers citing papers by Elyor Kodirov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elyor Kodirov

Since Specialization
Citations

This map shows the geographic impact of Elyor Kodirov'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 Elyor Kodirov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elyor Kodirov 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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2025