Rahul Dey

3 papers and 778 indexed citations i.

About

Rahul Dey is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Rahul Dey has authored 3 papers receiving a total of 778 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 1 paper in Materials Chemistry. Recurrent topics in Rahul Dey’s work include Face recognition and analysis (2 papers), 3D Shape Modeling and Analysis (2 papers) and Machine Learning in Materials Science (1 paper). Rahul Dey is often cited by papers focused on Face recognition and analysis (2 papers), 3D Shape Modeling and Analysis (2 papers) and Machine Learning in Materials Science (1 paper). Rahul Dey collaborates with scholars based in United States. Rahul Dey's co-authors include Fathi M. Salem and Vishnu Naresh Boddeti and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).

In The Last Decade

Co-authorship network of co-authors of Rahul Dey i

Fields of papers citing papers by Rahul Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rahul Dey

Since Specialization
Citations

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