| Application of Optimized Machine Learning Techniques for Prediction of Occupational Accidents S Sarkar, V Sammangi, R Raj, J Maiti, P Mitra Computers & Operations Research 106, 210-224, 2019 | 251 | 2019 |
| Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data S Sarkar, A Pramanik, J Maiti, G Reniers Safety science 125, 104616, 2020 | 143 | 2020 |
| Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis S Sarkar, J Maiti Safety Science 131, 104900, 2020 | 113 | 2020 |
| A real-time video surveillance system for traffic pre-events detection A Pramanik, S Sarkar, J Maiti Accident Analysis & Prevention 154 (5), 106019, 2021 | 93 | 2021 |
| Artificial Intelligence-Driven Supply Chain Resilience in Vietnamese Manufacturing Small-and Medium-Sized Enterprises P Dey, S Chowdhury, A Abadie, EV Yaroson, S Sarkar International Journal of Production Research, 2023 | 92 | 2023 |
| An optimization-based decision tree approach for predicting slip-trip-fall accidents at work S Sarkar, R Raj, V Sammangi, J Maiti, DK Pratihar Safety Science 118, 57-69, 2019 | 86 | 2019 |
| An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company S Sarkar, DK Pratihar, B Sarkar Journal of Manufacturing Systems 46, 163-178, 2018 | 86 | 2018 |
| OSWMI: An Objective-Subjective Weighted method for Minimizing Inconsistency in multi-criteria decision making AR Paramanik, S Sarkar, B Sarkar Computers & Industrial Engineering 169, 108138, 2022 | 73 | 2022 |
| Prediction of occupational accidents using decision tree approach S Sarkar, A Patel, S Madaan, J Maiti INDICON 2017, 1-6, 2017 | 54 | 2017 |
| Text mining based safety risk assessment and prediction of occupational accidents in a steel plant S Sarkar, S Vinay, J Maiti ICCTICT 2017, 439-444, 2016 | 53 | 2016 |
| Predictive model for incident occurrences in steel plant in India S Sarkar, V Pateshwari, J Maiti ICCCNT 2017, 1-5, 2017 | 41 | 2017 |
| Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents S Sarkar, A Lohani, J Maiti Communications in Computer and Information Science 776, 517-530, 2017 | 35 | 2017 |
| Parametric and non-parametric analyses for pedestrian crash severity prediction in Great Britain M Rella Riccardi, F Mauriello, S Sarkar, F Galante, A Scarano, A Montella Sustainability 14 (6), 3188, 2022 | 34 | 2022 |
| Study of optimized SVM for incident prediction of a steel plant in India S Sarkar, S Vinay, V Pateshwari, J Maiti INDICON 2017, 1-6, 2017 | 31 | 2017 |
| Prediction of Occupational Incidents Using Proactive and Reactive Data: A Data Mining Approach S Sarkar, A Verma, J Maiti Industrial Safety Management- 21st Century Perspective of Asia, 65-79, 2018 | 29 | 2018 |
| Measurement and modeling of job stress of electric overhead traveling crane operators OB Krishna, J Maiti, PK Ray, B Samanta, S Mandal, S Sarkar Safety and health at work 6 (4), 279-288, 2015 | 29 | 2015 |
| Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry S Sarkar, N Ejaz, J Maiti 2018 4th International Conference on Recent Advances in Information …, 2018 | 28 | 2018 |
| COVID-19 Outbreak: A Data-driven Optimization Model for Allocation of Patients S Sarkar, A Pramanik, J Maiti, G Reniers Computers & Industrial Engineering 161, 107675, 2021 | 27 | 2021 |
| An Integrated Approach using Rough Set Theory, ANFIS, and Z-number in Occupational Risk Prediction S Sarkar, A Pramanik, J Maiti Engineering Applications of Artificial Intelligence 117 (Part A), 105515, 2023 | 26 | 2023 |
| Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach S Sarkar, V Lakha, I Ansari, J Maiti ICIC2 - 2016, 257-266, 2017 | 26 | 2017 |
Jhareswar MaitiProfessor, Industrial & Systems Engineering, IIT Kharagpuriem.iitkgp.ac.in üzerinde doğrulanmış e-posta adresine sahip