Bappaditya Debnath

20 total papers · 402 total citations
13 papers, 235 citations indexed

About

Bappaditya Debnath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Bappaditya Debnath has authored 13 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Plant Science. Recurrent topics in Bappaditya Debnath's work include Human Pose and Action Recognition (6 papers), Smart Agriculture and AI (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Bappaditya Debnath is often cited by papers focused on Human Pose and Action Recognition (6 papers), Smart Agriculture and AI (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Bappaditya Debnath collaborates with scholars based in United Kingdom, India and Italy. Bappaditya Debnath's co-authors include Ardhendu Behera, Mary O’Brien, Motonori Yamaguchi, Amir M. Ghalamzan E., Muhammad Arshad Khan, Simon Parsons, Swagat Kumar, Erik R. Thomas, Andrea Maria Zanchettin and Anupam Mondal and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Field Robotics and Multimedia Systems.

In The Last Decade

Bappaditya Debnath

12 papers receiving 229 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bappaditya Debnath 73 71 34 30 29 13 235
Deepak Poddar 131 1.8× 16 0.2× 40 1.2× 12 0.4× 4 0.1× 10 233
Diego Rodríguez 152 2.1× 18 0.3× 96 2.8× 24 0.8× 5 0.2× 16 306
Soyeb Nagori 181 2.5× 16 0.2× 42 1.2× 16 0.5× 4 0.1× 15 292
Paride Cavallone 58 0.8× 87 1.2× 49 1.4× 52 1.7× 5 0.2× 18 233
Mario Massimo Foglia 68 0.9× 66 0.9× 70 2.1× 55 1.8× 3 0.1× 28 276
Pengfei Zhao 52 0.7× 33 0.5× 29 0.9× 9 0.3× 3 0.1× 13 293
Sadia Anwar 17 0.2× 53 0.7× 22 0.6× 4 0.1× 12 0.4× 13 300
Chun‐Ta Chen 39 0.5× 11 0.2× 68 2.0× 26 0.9× 37 1.3× 30 300
Marcelo R. Petry 119 1.6× 19 0.3× 27 0.8× 44 1.5× 5 0.2× 31 304
Shujie Tan 135 1.8× 3 0.0× 68 2.0× 70 2.3× 11 0.4× 15 315

Countries citing papers authored by Bappaditya Debnath

Since Specialization
Citations

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

Fields of papers citing papers by Bappaditya Debnath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bappaditya Debnath

This figure shows the co-authorship network connecting the top 25 collaborators of Bappaditya Debnath. A scholar is included among the top collaborators of Bappaditya Debnath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bappaditya Debnath. Bappaditya Debnath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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