Sobhan Sarkar

81 total papers · 1.9k total citations
51 papers, 938 citations indexed

About

Sobhan Sarkar is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sobhan Sarkar has authored 51 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Radiological and Ultrasound Technology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sobhan Sarkar's work include Occupational Health and Safety Research (13 papers), Risk and Safety Analysis (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Sobhan Sarkar is often cited by papers focused on Occupational Health and Safety Research (13 papers), Risk and Safety Analysis (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Sobhan Sarkar collaborates with scholars based in India, United Kingdom and Algeria. Sobhan Sarkar's co-authors include J. Maiti, Anima Pramanik, Rahul Raj, Pabitra Mitra, Genserik Reniers, Bijan Sarkar, Dilip Kumar Pratihar, Emilia Vann Yaroson, Prasanta Kumar Dey and Soumyadeb Chowdhury and has published in prestigious journals such as The Lancet, Journal of Cleaner Production and Information Sciences.

In The Last Decade

Sobhan Sarkar

42 papers receiving 905 citations

Hit Papers

Artificial intelligence-d... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Sobhan Sarkar 294 223 193 159 134 51 938
V. Ebrahimipour 168 0.6× 286 1.3× 204 1.1× 141 0.9× 205 1.5× 37 1.1k
Melinda Hodkiewicz 112 0.4× 141 0.6× 186 1.0× 236 1.5× 135 1.0× 92 1.1k
Ren‐Jye Dzeng 322 1.1× 96 0.4× 68 0.4× 115 0.7× 316 2.4× 58 1.1k
Mohsen Naderpour 159 0.5× 211 0.9× 123 0.6× 136 0.9× 78 0.6× 43 906
James T. Luxhøj 142 0.5× 275 1.2× 175 0.9× 103 0.6× 141 1.1× 92 851
Min An 257 0.9× 310 1.4× 114 0.6× 58 0.4× 438 3.3× 58 1.2k
Isabel L. Nunes 364 1.2× 230 1.0× 47 0.2× 38 0.2× 122 0.9× 55 830
Peter Chemweno 135 0.5× 174 0.8× 205 1.1× 40 0.3× 93 0.7× 39 855
Qinglian Lin 88 0.3× 375 1.7× 164 0.8× 176 1.1× 565 4.2× 23 1.2k
Chao Fang 117 0.4× 137 0.6× 62 0.3× 48 0.3× 371 2.8× 47 1.0k

Countries citing papers authored by Sobhan Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Sobhan Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sobhan Sarkar

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