| A literature review and perspectives in reverse logistics S Agrawal, RK Singh, Q Murtaza Resources, conservation and recycling 97, 76-92, 2015 | 855 | 2015 |
| Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach S Agrawal, RK Singh, Q Murtaza Resources, Conservation and Recycling 108, 41-53, 2016 | 189 | 2016 |
| Analyzing disposition decisions for sustainable reverse logistics: Triple Bottom Line approach S Agrawal, RK Singh Resources, Conservation and Recycling 150, 104448, 2019 | 185 | 2019 |
| Disposition decisions in reverse logistics: Graph theory and matrix approach S Agrawal, RK Singh, Q Murtaza Journal of Cleaner Production 137, 93-104, 2016 | 112 | 2016 |
| Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology S Agrawal, RK Singh, Q Murtaza Journal of Industrial Engineering International 12, 15-27, 2016 | 104 | 2016 |
| Triple bottom line performance evaluation of reverse logistics A Saurabh, SR Kr, M Qasim Competitiveness Review 26 (3), 289-310, 2016 | 103 | 2016 |
| Forecasting product returns for recycling in Indian electronics industry S Agrawal, R K. Singh, Q Murtaza Journal of Advances in Management Research 11 (1), 102-114, 2014 | 66 | 2014 |
| Integrating Industry 4.0 and circular economy: a review A Sahu, S Agrawal, G Kumar Journal of Enterprise Information Management 35 (3), 885-917, 2021 | 63 | 2021 |
| Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda RK Singh, S Agrawal, A Sahu, Y Kazancoglu The TQM Journal 35 (1), 262-291, 2023 | 60 | 2023 |
| Application of big data in supply chain management ADS Jain, I Mehta, J Mitra, S Agrawal Materials Today: Proceedings 4 (2), 1106-1115, 2017 | 59 | 2017 |
| Prediction of CO2 emissions using deep learning hybrid approach: A Case Study in Indian Context L Amarpuri, N Yadav, G Kumar, S Agrawal 2019 twelfth international conference on contemporary computing (IC3), 1-6, 2019 | 52 | 2019 |
| Challenges in the implementation of circular economy in manufacturing industry M Chhimwal, S Agrawal, G Kumar Journal of Modelling in Management 17 (4), 1049-1077, 2022 | 50 | 2022 |
| Analyzing disposition strategies in reverse supply chains: fuzzy TOPSIS approach RK Singh, S Agrawal Management of Environmental Quality: An International Journal 29 (3), 427-443, 2018 | 46 | 2018 |
| Development of a Reverse Logistics Performance Measurement System for a battery manufacturer M Bansia, JK Varkey, S Agrawal Procedia Materials Science 6, 1419-1427, 2014 | 45 | 2014 |
| Outsourcing and reverse supply chain performance: a triple bottom line approach S Agrawal, RK Singh Benchmarking: An International Journal 28 (4), 1146-1163, 2021 | 41 | 2021 |
| Circular economy under the impact of IT tools: A content-based review SWH Rizvi, S Agrawal, Q Murtaza International Journal of Sustainable Engineering 14 (2), 87-97, 2021 | 39 | 2021 |
| Reverse supply chain issues in Indian electronics industry: a case study S Agrawal, RK Singh, Q Murtaza Journal of Remanufacturing 8, 115-129, 2018 | 39 | 2018 |
| Disposition decisions in reverse logistics by using AHP-fuzzy TOPSIS approach S Agrawal, RK Singh, Q Murtaza Journal of Modelling in Management 11 (4), 932-948, 2016 | 37 | 2016 |
| Measuring circular supply chain risk: A bayesian network methodology M Chhimwal, S Agrawal, G Kumar Sustainability 13 (15), 8448, 2021 | 34 | 2021 |
| Convenience store locations prioritization: a fuzzy TOPSIS-GRA hybrid approach J Singh, P Tyagi, G Kumar, S Agrawal Modern Supply Chain Research and Applications 2 (4), 281-302, 2020 | 26 | 2020 |
Prof. Rajesh Kumar SinghProfessor, Operations and Supply Chain Management, Management Development Institute (MDI), Gurgaon,بريد إلكتروني تم التحقق منه على dce.ac.in