Angshuman Paul

68 total papers · 999 total citations
38 papers, 633 citations indexed

About

Angshuman Paul is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Angshuman Paul has authored 38 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Angshuman Paul's work include AI in cancer detection (11 papers), COVID-19 diagnosis using AI (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Angshuman Paul is often cited by papers focused on AI in cancer detection (11 papers), COVID-19 diagnosis using AI (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Angshuman Paul collaborates with scholars based in India, United States and Romania. Angshuman Paul's co-authors include Dipti Prasad Mukherjee, Abhinandan Gangopadhyay, Appa Rao Chintha, Saurabh Kundu, Prasun Das, D. Patranabis, Ronald M. Summers, Yuxing Tang, Thomas C. Shen and Sungwon Lee and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Angshuman Paul

33 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Angshuman Paul 238 143 138 117 100 38 633
Xin Tian 329 1.4× 98 0.7× 139 1.0× 57 0.5× 70 0.7× 20 720
Leandro A. Passos 207 0.9× 223 1.6× 137 1.0× 66 0.6× 139 1.4× 48 646
Susana K. Lai-Yuen 332 1.4× 210 1.5× 122 0.9× 87 0.7× 97 1.0× 42 749
Mengzhou Li 154 0.6× 86 0.6× 153 1.1× 150 1.3× 56 0.6× 38 597
Bhushankumar Nemade 190 0.8× 160 1.1× 53 0.4× 59 0.5× 58 0.6× 26 782
Osman Nuri Uçan 205 0.9× 131 0.9× 121 0.9× 43 0.4× 47 0.5× 67 585
Dhirendra Prasad Yadav 154 0.6× 140 1.0× 148 1.1× 101 0.9× 31 0.3× 51 619
Chien-Cheng Lee 244 1.0× 229 1.6× 116 0.8× 77 0.7× 45 0.5× 63 641
Turgay İbrikçі 317 1.3× 141 1.0× 55 0.4× 68 0.6× 54 0.5× 50 767
Arturo Hernández-Aguirre 268 1.1× 103 0.7× 124 0.9× 109 0.9× 79 0.8× 65 791

Countries citing papers authored by Angshuman Paul

Since Specialization
Citations

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

Fields of papers citing papers by Angshuman Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angshuman Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Angshuman Paul. A scholar is included among the top collaborators of Angshuman Paul 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 Angshuman Paul. Angshuman Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026