Dr. Rajesh Rajagopal

Dr. Rajesh Rajagopal

Designation: Assistant Professor

Department: Management Studies

Honour: Ph.D. (IIST (ISRO) Trivandrum), Post-Doc (IIT Madras)

Area of Interest: Supply Chain Management, Operations Management, Risk Management, Decision-Making, Grey theory, Uncertainty Modelling

Office Phone : +91-751-2449822

Address: R-201, F-Block, ABV-IIITM, Morena Link Road, Gwalior 474015

Email: rajesh@iiitm.ac.in

Biography

Rajesh is presently working as an Assistant Professor in the area of Operations Management in ABV-IIITM Gwalior.   Prior to joining this, he was working as a Post-Doctoral Fellow (PDF) in Operations Management at the Indian Institute of Technology Madras (IIT-M). He has completed a Ph.D. from the Indian Institute of Space Science and Technology (IIST (ISRO)), Trivandrum. He is presently working in the areas of supply chain management, risk management, resilience, sustainability, decision-making, uncertainty modeling, and grey theory.  As of now, he has 35 publications in international refereed (SCI/ SSCI/ ABDC listed) journals, of which 26 are first author/sole author type articles, an h-index of 20 (Google Scholar), h-index of 18 (Scopus), h-index of 18 (Web of Science), and over 1900 citations (Google Scholar).    

Achievements

Listed in the world's top 2% of scientists by the Stanford University-Elsevier list (2022), the single recent year with a world ranking of 232 in the subject field, "Artificial Intelligence".   

Listed in the world's top 2% of scientists by the Stanford University-Elsevier list (2021), with a world ranking of 98 in the subject field, "Operations Research".  

Ranked #1 among the faculties from the 25 IIITs in India by the Stanford University-Elsevier list (2021 and 2022).  

Recognized as among the top 5 researchers in the world in the area of supply chain resilience (Sources: Web of Science (Rank 3); Scopus (Rank 5)).

Profiles

Google Scholar: https://scholar.google.co.in/citations?user=ygAPa1gAAAAJ&hl=en

Research Gate: https://www.researchgate.net/profile/Rajesh_Rajagopal3

International Publications:

(IF indicates Impact Factor (Clarivate Analytics), CS shows CiteScore (Scopus), SJR represents the reputation rank quartile (Scimago), ABDC represents the Australian Business Deans’ Council ranking, and ABS represents the Chartered Association of Business Schools’ ranking of the journal)

 

  1. Rajesh, R. (2021) ‘Optimal trade-offs in decision-making for sustainability and resilience in manufacturing supply chains’, Journal of Cleaner Production, Vol. 313, No. 127596. (IF 11.07; CS 15.8; SJR Q1; ABDC A; ABS 2) (Elsevier)
  2. Rajesh, R., A. K. Agariya, and Rajendran, C. (2021) ‘ Predicting resilience in retailing using grey theory and moving probability based Markov models', Journal of Retailing and Consumer Services, Vol. 62, No. 102599. (IF 10.97; CS 11.4; SJR Q1; ABDC A; ABS 2) (Elsevier)
  3. A. Shishodia, R. Sharma, Rajesh, R., and Z. Haque Munim (2022) ‘Supply chain resilience: A review, conceptual framework, and future research’, International Journal of Logistics Management, https://doi.org/10.1108/IJLM-03-2021-0169. (IF 5.44; CS 10.1; SJR Q1; ABDC A) (Emerald) 
  4. Rajesh, R. (2020) ‘Sustainability Performance Predictions in Supply Chains: Grey and Rough Set Theoretical Approaches’, Annals of Operations Research, https://doi.org/10.1007/s10479-020-03835-x. (IF 4.82; CS 6.1; SJR Q1; ABDC A; ABS 3) (Springer)
  5. Rajesh, R. and Rajendran, C. (2020) ‘Relating ESG Scores and Sustainability Performances of Firms: An Empirical Analysis’, Business Strategy and the Environment, Vol. 29, No.3, pp.1247-1267. (IF 10.82; CS 11.9; SJR Q1; ABDC A; ABS 3) (Wiley)
  6. Rajesh, R. (2020) ‘A Novel Advanced Grey Incidence Analysis for Investigating the Level of Resilience in Supply Chains’, Annals of Operations Research, https://doi.org/10.1007/s10479-020-03641-5. (IF 4.82; CS 6.1; SJR Q1; ABDC A; ABS 3) (Springer)
  7. Rajesh, R. (2020) ‘Exploring the Sustainability Performances of Firms using Environmental, Social, and Governance Scores’, Journal of Cleaner Production, Vol. 247, No. 119600. (IF 11.07; CS 15.8; ABDC A; ABS 2) (Elsevier)
  8. Rajesh, R. (2019) ‘Social and environmental risk management in resilient supply chains: A periodical study by the Grey-Verhulst model’, International Journal of Production Research, Vol. 57, No. 11, pp.3748-3765. (IF 9.01; CS 14.6; SJR Q1; ABDC A; ABS 3) (Taylor & Francis)
  9. Rajesh, R. (2017) ‘Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)’, Technological Forecasting & Social Change, Vol. 118, pp.161-169. (IF 10.88; CS 13.7; SJR Q1; ABDC A; ABS 3) (Elsevier)
  10. Rajesh, R. and Ravi, V. (2015) ‘Supplier selection in resilient supply chains: a grey relational analysis approach’, Journal of Cleaner Production, Vol. 86, pp.343-359. (IF 11.07; CS 15.8; ABDC A; ABS 2) (Elsevier)
  11. Rajesh, R., Ravi, V., and Venkata Rao, R. (2015) ‘Selection of risk mitigation strategy in electronic supply chains using grey theory and digraph-matrix approaches’, International Journal of Production Research, Vol. 53, No. 1, pp.238-257. (IF 9.01; CS 14.6; SJR Q1; ABDC A; ABS 3) (Taylor & Francis)
  12. Rajesh, R. and Ravi, V. (2015) ‘Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach’, Computers & Industrial Engineering, Vol. 87, pp.126-139. (IF 7.18; CS 9.7; SJR Q1; ABDC A; ABS 2) (Elsevier)
  13. Moktadir, M. A., Ali, S. M., Rajesh, R., and Paul, S. K. (2018) ‘Modeling the interrelationships among barriers to sustainable supply chain management in leather industry’, Journal of Cleaner Production, Vol. 181, pp. 631-651. (IF 11.07; CS 15.8; SJR Q1; ABDC A; ABS 2) (Elsevier) 
  14. Rajesh, R. (2022) ‘An Introduction to Grey Influence Analysis (GINA): Applications to Causal Modelling in Marketing and Supply Chain Research', Expert Systems with Applications (Accepted paper). (IF 8.66; CS 12.2; SJR Q1; ABS 1) (Elsevier)  
  15. Rajesh, R., Rajeev, A., and Rajendran, C. (2021) ‘Corporate Social Performances of Firms in Select Developed Economies: A Comparative Study', Socio-Economic Planning Sciences, No. 101194. (IF 4.64; CS 6.7; SJR Q1; ABS 2) (Elsevier)
  16. Rajesh, R. (2020) 'Flexible Business Strategies to Enhance Resilience in Manufacturing Supply Chains: An Empirical Study', Journal of Manufacturing Systems, https://doi.org/10.1016/j.jmsy.2020.10.010. (IF 9.49; CS 15.0; SJR Q1; ABDC B) (Elsevier)
  17. Rajesh, R. (2016) ‘Forecasting supply chain resilience performance using grey prediction’, Electronic Commerce Research and Applications, Vol. 20, pp. 42-58. (IF 5.62; CS 10.0; SJR Q1; ABS 2) (Elsevier)
  18. Rajesh, R. (2018) ‘On sustainability, resilience, and the sustainable-resilient supply networks’, Sustainable Production and Consumption, Vol. 15, pp. 74–88. (IF 8.92; CS 8.1; SJR Q1) (Elsevier) 
  19. Rajesh, R. (2018) ‘Group Decision-Making and Grey Programming approaches to optimal product mix in manufacturing supply chains’, Neural Computing and Applications, Vol. 32, pp. 2635–2649. (IF 5.10; CS 8.7; SJR Q1) (Springer)
  20. Rajesh, R.(2020) ‘A Grey-Layered ANP based decision support model for analysing strategies of resilience in electronic supply chains’, Engineering Applications of Artificial Intelligence, Vol. 87, 103338. (IF: 7.80; CS: 11.0; SJR Q1) (Elsevier)
  21. Rajesh, R. (2019) ‘A fuzzy approach to analyzing the level of resilience in manufacturing supply chains’, Sustainable Production and Consumption, Vol. 18, pp. 224-236. (IF 8.92; CS 8.1; SJR Q1) (Elsevier)
  22. Rajesh, R. (2019) ‘Network Design for Resilience in Supply Chains Using Novel Crazy Elitist TLBO’, Neural Computing and Applications, https://doi.org/10.1007/s00521-019-04260-3. (IF 5.10; CS 8.7; SJR Q1) (Springer)
  23. Rajesh, R. (2020) ‘Sustainable Supply Chains in the Indian Context: An Integrative Decision-Making Model’, Technology in Society, Vol. 61, 101230. (IF 6.87; CS 6.5; SJR Q1) (Elsevier)
  24. Rajesh, R. (2018) ‘Measuring the barriers to resilience in manufacturing supply chains using Grey Clustering and VIKOR approaches’, Measurement, Vol. 126, pp. 259-273. (IF 5.13; CS 7.8; SJR Q1) (Elsevier)
  25. Rajesh, R. and Ravi, V. (2017) ‘Analysing drivers of risks in electronic supply chains: a Grey- DEMATEL approach’, International Journal of Advanced Manufacturing Technology, Vol. 92 (1-4), pp. 1127-1145. (IF 3.56; CS 6.4; SJR Q1) (Springer)
  26. N. Sachin and Rajesh, R. (2021) ‘An empirical study of supply chain sustainability with financial performances of Indian firms’, Environment, Development and Sustainability, https://doi.org/10.1007/s10668-021-01717-1. (IF 4.08; CS 4.4; SJR Q1) (Springer)  
  27. Rajesh, R. and Rajendran, C. (2019) ‘Grey and rough set based seasonal disaster predictions: An analysis of flood data in India’, Natural Hazards, Vol. 97, No. 1, pp.395-435. (IF 3.15; CS 4.9; SJR Q1) (Springer)
  28. Rajesh, R. (2018) ‘Pseudo resilient supply chains: Concept, traits and practices’, Journal of Risk Research, Vol. 21, No. 10, pp. 1264-1286. (IF 5.34; CS 6.7; SJR Q1; ABS 2) (Taylor & Francis)
  29. T. A. Jessin, A. Rajeev and Rajesh, R. (2022) ‘Supplier Selection Framework to Evade Pseudo Resilience and to Achieve Sustainability in Supply Chains’, International Journal of Emerging Markets, DOI: 10.1108/IJOEM-11-2021-1704 (IF 3.42; CS 4.0; SJR Q1; ABDC B; ABS 1) (Emerald)   
  30. R. Chandrakant and Rajesh, R. (2022) ‘Social Sustainability, Corporate Governance, and Sustainability Performances: An Empirical Study of the Effects’, Journal of Ambient Intelligence and Humanized Computing, DOI: 10.1007/s12652-022-04417-4  (IF 3.66; CS 6.5; SJR Q1) (Springer)   
  31. M. Sabu., C. S. Shaijumon, and Rajesh, R. (2018) ‘Factors influencing the adoption of ICT tools in Kerala marine fisheries sector: An analytic hierarchy process approach’, Technology Analysis & Strategic Management, Vol. 30, No. 7, pp. 866-880. (IF 3.74; CS 5.1; SJR Q2; ABDC B; ABS 2) (Taylor & Francis)
  32. Singh, G., Daultani, Y., Rajesh, R., and Sahu, R. (2022) ‘Modeling the Growth Barriers of Fresh Produce Supply Chain in the Indian Context’, Benchmarking: An International Journal,  https://doi.org/10.1108/BIJ-09-2021-0517. (CS 7.4; SJR Q1; ABDC B; ABS 1) (Emerald)
  33. Joshi, H., Rajesh, R., and Daultani, Y. (2022) ‘Causal modeling of the enablers of CPFR for building resilience in manufacturing supply chains’, RAIRO: Operations Research, (Accepted paper) (IF 2.52; CS 2.3; SJR Q2; ABS 1) (EDP Sciences) 

 

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