Maitreya Suin

42 total papers · 1.0k total citations
11 papers, 287 citations indexed

About

Maitreya Suin is a scholar working on Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Media Technology. According to data from OpenAlex, Maitreya Suin has authored 11 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 1 paper in Public Health, Environmental and Occupational Health and 1 paper in Media Technology. Recurrent topics in Maitreya Suin's work include Advanced Image Processing Techniques (5 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Maitreya Suin is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Maitreya Suin collaborates with scholars based in India, United States and Australia. Maitreya Suin's co-authors include A. N. Rajagopalan, Kuldeep Purohit, Rama Chellappa, Chun Pong Lau, Joshua Gleason, Nathan Shnidman, Jennifer Xu, Vishal M. Patel, Soumyadipta Acharya and Kartik Narayan and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Maitreya Suin

10 papers receiving 278 citations

Author Peers

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

Author Last Decade Papers Cites
Maitreya Suin 270 137 12 9 7 11 287
Namhyuk Ahn 232 0.9× 130 0.9× 10 0.8× 18 2.0× 6 0.9× 12 250
Jan Kotera 206 0.8× 110 0.8× 8 0.7× 5 0.6× 8 1.1× 15 227
Xiaozhong Ji 230 0.9× 119 0.9× 7 0.6× 12 1.3× 10 1.4× 10 262
Qingyu Xu 289 1.1× 173 1.3× 14 1.2× 5 0.6× 8 1.1× 9 314
Meiguang Jin 219 0.8× 84 0.6× 7 0.6× 8 0.9× 14 2.0× 14 238
Manoj Sharma 126 0.5× 97 0.7× 7 0.6× 16 1.8× 4 0.6× 16 159
Zeyuan Chen 265 1.0× 113 0.8× 25 2.1× 10 1.1× 3 0.4× 7 315
Jiahao Wang 151 0.6× 78 0.6× 15 1.3× 14 1.6× 12 1.7× 11 216
Seungyong Ko 313 1.2× 167 1.2× 13 1.1× 4 0.4× 3 0.4× 13 328
Pavan C. Madhusudana 217 0.8× 83 0.6× 26 2.2× 10 1.1× 7 1.0× 9 283

Countries citing papers authored by Maitreya Suin

Since Specialization
Citations

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

Fields of papers citing papers by Maitreya Suin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maitreya Suin

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