Moitreya Chatterjee

45 total papers · 590 total citations
18 papers, 256 citations indexed

About

Moitreya Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Moitreya Chatterjee has authored 18 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Moitreya Chatterjee's work include Music and Audio Processing (4 papers), Media Influence and Health (3 papers) and Misinformation and Its Impacts (3 papers). Moitreya Chatterjee is often cited by papers focused on Music and Audio Processing (4 papers), Media Influence and Health (3 papers) and Misinformation and Its Impacts (3 papers). Moitreya Chatterjee collaborates with scholars based in United States, India and Japan. Moitreya Chatterjee's co-authors include Louis–Philippe Morency, Anurag Mittal, Sunghyun Park, Kenji Sagae, Stefan Scherer, Sayan Ghosh, Giota Stratou, Jonathan Le Roux, Anoop Cherian and Hongsheng Li and has published in prestigious journals such as ACM Transactions on Interactive Intelligent Systems, IEEE Journal of Translational Engineering in Health and Medicine and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Moitreya Chatterjee

16 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Moitreya Chatterjee 127 104 70 42 29 18 256
Luca Canini 168 1.3× 38 0.4× 61 0.9× 16 0.4× 29 1.0× 15 305
Niki Efthymiou 137 1.1× 74 0.7× 94 1.3× 27 0.6× 50 1.7× 29 302
Iulia Lefter 64 0.5× 119 1.1× 147 2.1× 15 0.4× 60 2.1× 27 300
Keng-hao Chang 72 0.6× 80 0.8× 107 1.5× 20 0.5× 20 0.7× 23 314
Sabrina Caldwell 143 1.1× 55 0.5× 32 0.5× 14 0.3× 50 1.7× 28 295
Christian Peter 97 0.8× 38 0.4× 106 1.5× 31 0.7× 83 2.9× 23 318
Andreas Seiderer 61 0.5× 104 1.0× 37 0.5× 15 0.4× 79 2.7× 29 298
Maher Ben Moussa 123 1.0× 72 0.7× 30 0.4× 11 0.3× 81 2.8× 13 284
Michał Muszyński 34 0.3× 52 0.5× 100 1.4× 14 0.3× 72 2.5× 33 241
Petros Koutras 215 1.7× 46 0.4× 68 1.0× 13 0.3× 54 1.9× 26 301

Countries citing papers authored by Moitreya Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Moitreya Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moitreya Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Moitreya Chatterjee. A scholar is included among the top collaborators of Moitreya Chatterjee 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 Moitreya Chatterjee. Moitreya Chatterjee 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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