Debi Prosad Dogra

88 papers and 2.0k indexed citations i.

About

Debi Prosad Dogra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Debi Prosad Dogra has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 19 papers in Human-Computer Interaction. Recurrent topics in Debi Prosad Dogra’s work include Video Surveillance and Tracking Methods (30 papers), Anomaly Detection Techniques and Applications (21 papers) and Human Pose and Action Recognition (19 papers). Debi Prosad Dogra is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Anomaly Detection Techniques and Applications (21 papers) and Human Pose and Action Recognition (19 papers). Debi Prosad Dogra collaborates with scholars based in India, South Korea and Norway. Debi Prosad Dogra's co-authors include Partha Pratim Roy, Pradeep Kumar, Rajkumar Saini, Samarjit Kar, Byung‐Gyu Kim, Debashis Das Chakladar, Pallavi Kaushik, Arif Ahmed Sekh, Heeseung Choi and Ig-Jae Kim and has published in prestigious journals such as Expert Systems with Applications, Journal of Physics Condensed Matter and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Debi Prosad Dogra i

Fields of papers citing papers by Debi Prosad Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debi Prosad Dogra. 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 Debi Prosad Dogra. The network helps show where Debi Prosad Dogra may publish in the future.

Countries citing papers authored by Debi Prosad Dogra

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025