Sobhan Sarkar

1.9k total citations · 1 hit paper
52 papers, 955 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 52 papers receiving a total of 955 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 United States. Sobhan Sarkar's co-authors include J. Maiti, Anima Pramanik, Rahul Raj, Pabitra Mitra, Genserik Reniers, Bijan Sarkar, Dilip Kumar Pratihar, Prasanta Kumar Dey, Soumyadeb Chowdhury and Emilia Vann Yaroson 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 924 citations

Hit Papers

Artificial intelligence-driven supply chain resilience in... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sobhan Sarkar India 15 295 222 197 162 136 52 955
Melinda Hodkiewicz Australia 22 117 0.4× 141 0.6× 188 1.0× 240 1.5× 134 1.0× 95 1.2k
V. Ebrahimipour Iran 17 170 0.6× 288 1.3× 204 1.0× 141 0.9× 205 1.5× 38 1.1k
Min An United Kingdom 17 262 0.9× 314 1.4× 117 0.6× 60 0.4× 439 3.2× 58 1.2k
Timothy M. Rose Australia 18 538 1.8× 126 0.6× 93 0.5× 131 0.8× 449 3.3× 42 1.5k
James T. Luxhøj United States 15 142 0.5× 275 1.2× 175 0.9× 103 0.6× 142 1.0× 92 852
Changhyun Kwon United States 24 175 0.6× 360 1.6× 124 0.6× 33 0.2× 210 1.5× 81 1.8k
Qinglian Lin China 14 88 0.3× 374 1.7× 162 0.8× 176 1.1× 565 4.2× 23 1.2k
Uday Kumar Sweden 20 76 0.3× 112 0.5× 223 1.1× 87 0.5× 124 0.9× 86 1.5k
Peter Chemweno Belgium 17 135 0.5× 177 0.8× 207 1.1× 41 0.3× 94 0.7× 39 871
Haitao Wu China 19 313 1.1× 115 0.5× 32 0.2× 204 1.3× 168 1.2× 54 1.3k

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

20 of 20 papers shown
1.
Sarkar, Bishal Dey, et al.. (2025). Developing a reintegration index (RI) for a closed-loop supply chain network in the automobile industry. Benchmarking An International Journal. 33(3). 736–758. 1 indexed citations
2.
Sarkar, Sobhan, et al.. (2025). Generative artificial intelligence for management education: applications, benefits, challenges and future research directions. International Journal of Educational Management. 39(5). 1217–1239.
3.
Pramanik, Anima, Sudip K. Sarker, Sobhan Sarkar, & Sankar K. Pal. (2025). Real-time fall detection on roads using transfer learning-based granulated Bi-LSTM. Knowledge-Based Systems. 311. 113038–113038. 2 indexed citations
4.
Sarkar, Sobhan, et al.. (2024). A Z-Number Slacks-Based Measure DEA model-based framework for sustainable supplier selection with imprecise information. Journal of Cleaner Production. 436. 140563–140563. 14 indexed citations
5.
Pramanik, Anima, Sudip K. Sarker, Sobhan Sarkar, & Indranil Bose. (2024). FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images. Information Systems Frontiers. 2 indexed citations
6.
Sarkar, Sobhan, et al.. (2023). SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features. Engineering Applications of Artificial Intelligence. 123. 106332–106332. 5 indexed citations
7.
Dey, Prasanta Kumar, et al.. (2023). Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises. International Journal of Production Research. 62(15). 5417–5456. 112 indexed citations breakdown →
8.
Pramanik, Anima, Sobhan Sarkar, & Sankar K. Pal. (2023). Video surveillance-based fall detection system using object-level feature thresholding and Znumbers. Knowledge-Based Systems. 280. 110992–110992. 5 indexed citations
9.
Riccardi, Maria Rella, et al.. (2022). Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain. Sustainability. 14(6). 3188–3188. 33 indexed citations
10.
Sarkar, Sobhan, et al.. (2022). A two-stage improved Base Point Slacks-Based Measure of super-efficiency for negative data handling. Computers & Operations Research. 150. 106057–106057. 9 indexed citations
12.
Sarkar, Sobhan, et al.. (2022). An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis. Neural Computing and Applications. 34(12). 9661–9687. 7 indexed citations
13.
Sarkar, Sobhan, Anima Pramanik, J. Maiti, & Genserik Reniers. (2021). COVID-19 outbreak: A data-driven optimization model for allocation of patients. Computers & Industrial Engineering. 161. 107675–107675. 13 indexed citations
14.
Sarkar, Sobhan, et al.. (2021). A kernel-free support vector machine with Q-margin. 443–447.
15.
Pramanik, Anima, Sobhan Sarkar, & J. Maiti. (2021). A real-time video surveillance system for traffic pre-events detection. Accident Analysis & Prevention. 154. 106019–106019. 48 indexed citations
17.
Sarkar, Sobhan, et al.. (2018). Application of optimized machine learning techniques for prediction of occupational accidents. Computers & Operations Research. 106. 210–224. 151 indexed citations
18.
Sarkar, Sobhan, et al.. (2017). Predictive model for incident occurrences in steel plant in India. 1–5. 15 indexed citations
19.
Sarkar, Sobhan, et al.. (2016). Text mining based safety risk assessment and prediction of occupational accidents in a steel plant. 439–444. 27 indexed citations
20.
Maiti, J., et al.. (2015). Measurement and Modeling of Job Stress of Electric Overhead Traveling Crane Operators. Safety and Health at Work. 6(4). 279–288. 11 indexed citations

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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