Krishnendu Shaw

1.7k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Krishnendu Shaw is a scholar working on Strategy and Management, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Krishnendu Shaw has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Strategy and Management, 9 papers in Management Science and Operations Research and 4 papers in Management Information Systems. Recurrent topics in Krishnendu Shaw's work include Sustainable Supply Chain Management (14 papers), Multi-Criteria Decision Making (7 papers) and Technology Adoption and User Behaviour (4 papers). Krishnendu Shaw is often cited by papers focused on Sustainable Supply Chain Management (14 papers), Multi-Criteria Decision Making (7 papers) and Technology Adoption and User Behaviour (4 papers). Krishnendu Shaw collaborates with scholars based in India, France and United States. Krishnendu Shaw's co-authors include Ravi Shankar, Surendra S. Yadav, Lakshman S. Thakur, Mohd Irfan, Alessio Ishizaka, Ravi Shankar and Rajib Baran Roy and has published in prestigious journals such as Expert Systems with Applications, Technological Forecasting and Social Change and Computers & Industrial Engineering.

In The Last Decade

Krishnendu Shaw

23 papers receiving 1.2k citations

Hit Papers

Supplier selection using fuzzy AHP and fuzzy multi-object... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Krishnendu Shaw
Sen Liu China
Krishnendu Shaw
Citations per year, relative to Krishnendu Shaw Krishnendu Shaw (= 1×) peers Sen Liu

Countries citing papers authored by Krishnendu Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Krishnendu Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnendu Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnendu Shaw. A scholar is included among the top collaborators of Krishnendu Shaw 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 Krishnendu Shaw. Krishnendu Shaw 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.
Roy, Rajib Baran, et al.. (2025). Lagrangian relaxation-based heuristics for solving uncertain supply chain network design problem addressing supplier’s ESG factor. Journal of Modelling in Management. 20(5). 1823–1857.
2.
Shaw, Krishnendu, et al.. (2023). Joint Multi-item Multi-supplier Sustainable Lot-Sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ϵ-constraint Method. IEEE Transactions on Engineering Management. 71. 4530–4547. 10 indexed citations
3.
Shaw, Krishnendu, et al.. (2022). Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C. Annals of Operations Research. 325(2). 1197–1229. 28 indexed citations
4.
Shaw, Krishnendu, et al.. (2022). An integrated fuzzy credit rating model using fuzzy-BWM and new fuzzy-TOPSIS-Sort-C. Complex & Intelligent Systems. 9(4). 3581–3600. 14 indexed citations
5.
Shaw, Krishnendu, et al.. (2021). A credit scoring model for SMEs using AHP and TOPSIS. International Journal of Finance & Economics. 28(1). 372–391. 40 indexed citations
6.
Shaw, Krishnendu, et al.. (2021). An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS. Complex & Intelligent Systems. 8(3). 2017–2038. 17 indexed citations
7.
Shaw, Krishnendu, et al.. (2021). Developing a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS. Environment Development and Sustainability. 24(4). 5368–5399. 19 indexed citations
8.
Shaw, Krishnendu, et al.. (2021). An extension of technology acceptance model for mHealth user adoption. Technology in Society. 67. 101800–101800. 83 indexed citations
9.
Irfan, Mohd, et al.. (2021). The adoption of solar photovoltaic technology among Indian households: Examining the influence of entrepreneurship. Technological Forecasting and Social Change. 169. 120815–120815. 35 indexed citations
10.
Shaw, Krishnendu, et al.. (2021). A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS. Financial Innovation. 7(1). 26 indexed citations
11.
Shaw, Krishnendu, et al.. (2020). Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods. Expert Systems with Applications. 168. 114373–114373. 77 indexed citations
12.
Shaw, Krishnendu, et al.. (2019). Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS. Technology in Society. 59. 101186–101186. 155 indexed citations
13.
Shaw, Krishnendu, et al.. (2019). Supply chain network design considering carbon footprint, water footprint, supplier’s social risk, solid waste, and service level under the uncertain condition. Clean Technologies and Environmental Policy. 22(2). 337–370. 24 indexed citations
14.
Shaw, Krishnendu. (2017). Fuzzy multi-objective, multi-item, multi-supplier, lot-sizing considering carbon footprint. International Journal of Mathematics in Operational Research. 11(2). 171–171. 3 indexed citations
15.
Shaw, Krishnendu, et al.. (2017). Uncertain supply chain network design considering carbon footprint and social factors using two-stage approach. Clean Technologies and Environmental Policy. 19(10). 2491–2519. 34 indexed citations
16.
Shaw, Krishnendu. (2017). Fuzzy multi-objective, multi-item, multi-supplier, lot-sizing considering carbon footprint. International Journal of Mathematics in Operational Research. 11(2). 171–171. 1 indexed citations
17.
Shaw, Krishnendu, Mohd Irfan, Ravi Shankar, & Surendra S. Yadav. (2016). Low carbon chance constrained supply chain network design problem: a Benders decomposition based approach. Computers & Industrial Engineering. 98. 483–497. 81 indexed citations
18.
Shaw, Krishnendu, Ravi Shankar, & Surendra S. Yadav. (2016). Carbon constrained dual sourcing supplier selection problem: a Benders decomposition approach. International Journal of Logistics Systems and Management. 23(3). 363–363. 1 indexed citations
19.
Irfan, Mohd & Krishnendu Shaw. (2015). Modeling the effects of energy consumption and urbanization on environmental pollution in South Asian countries: a nonparametric panel approach. Quality & Quantity. 51(1). 65–78. 48 indexed citations
20.
Shaw, Krishnendu, Ravi Shankar, Surendra S. Yadav, & Lakshman S. Thakur. (2013). Global supplier selection considering sustainability and carbon footprint issue: AHP multi-objective fuzzy linear programming approach. International Journal of Operational Research. 17(2). 215–215. 35 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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