Priyam Chatterjee

39 total papers · 1.6k total citations
25 papers, 1.1k citations indexed

About

Priyam Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Priyam Chatterjee has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 5 papers in Computational Mechanics. Recurrent topics in Priyam Chatterjee's work include Image and Signal Denoising Methods (14 papers), Advanced Image Fusion Techniques (11 papers) and Advanced Image Processing Techniques (9 papers). Priyam Chatterjee is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Advanced Image Fusion Techniques (11 papers) and Advanced Image Processing Techniques (9 papers). Priyam Chatterjee collaborates with scholars based in United States, India and United Kingdom. Priyam Chatterjee's co-authors include Peyman Milanfar, Shree K. Nayar, Dan Lelescu, Andrew McMahon, Jacques Duparré, Kartik Venkataraman, Subhasis Chaudhuri, Soumyajit Mukherjee, Guna Seetharaman and Yasuyuki Matsushita and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and The Computer Journal.

In The Last Decade

Priyam Chatterjee

22 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Priyam Chatterjee 993 612 187 113 58 25 1.1k
M.R. Banham 1.1k 1.1× 556 0.9× 262 1.4× 136 1.2× 66 1.1× 15 1.3k
Yuli You 1.2k 1.2× 528 0.9× 280 1.5× 86 0.8× 103 1.8× 19 1.4k
Marc Lebrun 805 0.8× 528 0.9× 115 0.6× 93 0.8× 71 1.2× 11 915
Jiangjun Peng 626 0.6× 501 0.8× 332 1.8× 65 0.6× 64 1.1× 29 945
Zhiyuan Zha 877 0.9× 411 0.7× 476 2.5× 205 1.8× 55 0.9× 43 1.1k
Pascal Getreuer 644 0.6× 238 0.4× 118 0.6× 82 0.7× 76 1.3× 28 987
Hyeokho Choi 1.0k 1.0× 478 0.8× 160 0.9× 87 0.8× 44 0.8× 53 1.3k
Jiawen Chen 1.2k 1.2× 339 0.6× 63 0.3× 52 0.5× 32 0.6× 35 1.3k
Zhihao Wang 957 1.0× 538 0.9× 64 0.3× 96 0.8× 89 1.5× 7 1.3k
Kanghui Guo 806 0.8× 426 0.7× 229 1.2× 74 0.7× 109 1.9× 37 1.2k

Countries citing papers authored by Priyam Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Priyam Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyam Chatterjee

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