Prasun Das

2.0k total citations
115 papers, 1.4k citations indexed

About

Prasun Das is a scholar working on Management Information Systems, Strategy and Management and Molecular Biology. According to data from OpenAlex, Prasun Das has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Information Systems, 13 papers in Strategy and Management and 12 papers in Molecular Biology. Recurrent topics in Prasun Das's work include Quality and Supply Management (11 papers), Supply Chain and Inventory Management (7 papers) and Neural Networks and Applications (6 papers). Prasun Das is often cited by papers focused on Quality and Supply Management (11 papers), Supply Chain and Inventory Management (7 papers) and Neural Networks and Applications (6 papers). Prasun Das collaborates with scholars based in India, United States and Canada. Prasun Das's co-authors include Angshuman Paul, Appa Rao Chintha, Dipti Prasad Mukherjee, Abhinandan Gangopadhyay, Saurabh Kundu, Shubhabrata Datta, Unmesh Patnaik, Chandra Sekhar Bahinipati, Indranil Banerjee and Naranjan S. Dhalla and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Cleaner Production.

In The Last Decade

Prasun Das

108 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasun Das India 20 205 123 123 120 108 115 1.4k
Bo Fan China 27 215 1.0× 103 0.8× 106 0.9× 94 0.8× 223 2.1× 110 2.3k
Muhammad Syafrudin South Korea 24 564 2.8× 71 0.6× 209 1.7× 118 1.0× 174 1.6× 114 2.7k
Anuj Kumar India 20 358 1.7× 130 1.1× 64 0.5× 43 0.4× 119 1.1× 101 1.5k
Yufei Liu China 24 75 0.4× 93 0.8× 224 1.8× 55 0.5× 93 0.9× 87 1.7k
İnci Batmaz Türkiye 14 164 0.8× 142 1.2× 208 1.7× 71 0.6× 68 0.6× 32 1.1k
Jongtae Rhee South Korea 24 507 2.5× 61 0.5× 247 2.0× 188 1.6× 190 1.8× 69 2.7k
Marko Bohanec Slovenia 24 403 2.0× 321 2.6× 54 0.4× 132 1.1× 33 0.3× 91 1.8k
Mike Maher United Kingdom 20 137 0.7× 171 1.4× 213 1.7× 68 0.6× 209 1.9× 53 2.5k
Tanupriya Choudhury India 22 623 3.0× 105 0.9× 66 0.5× 64 0.5× 280 2.6× 333 2.5k
Seyed Masoud Ghoreishi Mokri Iran 7 160 0.8× 36 0.3× 36 0.3× 55 0.5× 131 1.2× 8 1.6k

Countries citing papers authored by Prasun Das

Since Specialization
Citations

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

Fields of papers citing papers by Prasun Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasun Das

This figure shows the co-authorship network connecting the top 25 collaborators of Prasun Das. A scholar is included among the top collaborators of Prasun Das 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 Prasun Das. Prasun Das 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.
Singh, Udai P., et al.. (2025). Optimization of green logistics network in a multi-echelon multi-product supply chain. Journal of Industrial and Production Engineering. 43(1). 1–21. 1 indexed citations
2.
Kundu, Kaustav, et al.. (2025). Digital and greening strategies for financial resilience in a three‐echelon supply chain. International Transactions in Operational Research. 33(4). 2289–2324.
3.
Das, Sanghamitra, et al.. (2025). Optimizing a green supply chain with reverse logistics using the queuing system under uncertainties. Journal of Management Analytics. 12(4). 797–848.
5.
Roy, Arindam, Barun Kumar, Annette Hammer, et al.. (2023). Development of a day-ahead solar power forecasting model chain for a 250 MW PV park in India. International journal of energy and environmental engineering. 14(4). 973–989. 7 indexed citations
6.
Das, Prasun, et al.. (2021). Characterization of L U -efficiency and saddle-point criteria for F -approximated multiobjective interval-valued variational problems. Results in Control and Optimization. 4. 100044–100044. 6 indexed citations
7.
Das, Prasun & Srabanti Mukherjee. (2016). Improvement in higher education quality of the North-East University of India. Total Quality Management & Business Excellence. 28(7-8). 765–781. 15 indexed citations
8.
Das, Prasun, et al.. (2011). IMPROVE MACHINING PROCESS CAPABILITY BY USING SIX-SIGMA. SHILAP Revista de lepidopterología. 6 indexed citations
9.
Murhekar, Manoj, Prasun Das, Anindya Sekhar Bose, et al.. (2011). Measles in Rural West Bengal, India, 2005–6: Low Recourse to the Public Sector Limits the Use of Vitamin A and the Sensitivity of Surveillance. The Journal of Infectious Diseases. 204(suppl_1). S427–S431. 5 indexed citations
10.
Murhekar, Manoj, Yvan Hutin, R. Ramakrishnan, et al.. (2011). The Heterogeneity of Measles Epidemiology in India: Implications for Improving Control Measures. The Journal of Infectious Diseases. 204(suppl_1). S421–S426. 15 indexed citations
11.
Das, Prasun. (2010). HYBRIDIZATION OF ARTIFICIAL NEURAL NETWORK USING DESIRABILITY FUNCTIONS FOR PROCESS OPTIMIZATION. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Das, Prasun. (2010). SELECTION OF BUSINESS STRATEGIES FOR QUALITY IMPROVEMENT USING FUZZY ANALYTICAL HIERARCHY PROCESS. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Das, Prasun & Shubhabrata Datta. (2010). A STATISTICAL CONCEPT IN DETERMINATION OF THRESHOLD VALUE FOR FUTURE DIAGNOSIS IN MTS: AN ALTERNATIVE TO TAGUCHI?S LOSS FUNCTION APPROACH. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Das, Prasun & Sukalyan Sengupta. (2010). Composite Desirability Index in Cases of Negative and Zero Desirability. Journal of Management and Research. 10(1). 25–38. 5 indexed citations
15.
Das, Prasun. (2010). The up-scaling of technology to build inclusive financial systems in India. 2(5). 67–70. 3 indexed citations
16.
Das, Prasun. (2009). Adaptation of Fuzzy Reasoning and Rule Generation for Customers’ Choice in Retail FMCG Business. Journal of Management and Research. 9(1). 15–26. 8 indexed citations
17.
Das, Prasun. (2005). Reduction in delay in procurement of materials using Six Sigma philosophy. Total Quality Management & Business Excellence. 16(5). 645–656. 18 indexed citations
18.
Das, Prasun, et al.. (1999). Integrated approach to prediction of cervical intra-epithelial neoplasia status through a case-control study. International Journal of Cancer. 84(1). 69–73. 7 indexed citations
19.
Mishra, Santosh Kumar, Prasun Das, & Abhik Kumar Sanyal. (1988). SODIUM‐DEPLETION‐INDUCED CONTRACTURES IN ISOLATED RAT VAS DEFERENS: POSSIBLE ROLE OF ENDOGENOUS CATECHOLAMINES. Quarterly Journal of Experimental Physiology. 73(5). 747–754. 1 indexed citations
20.
Ghosal, Shibnath, et al.. (1986). Effect of lycoriside, an acylglucosyloxy alkaloid, on mast cells. Pharmaceutical Research. 3(4). 240–243. 5 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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