Prasun Das
Impact in
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- Quality and Supply Management
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- Industrial Vision Systems and Defect Detection
Papers in
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- Quality and Supply Management 11
- Supply Chain and Inventory Management 7
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- Sustainable Supply Chain Management 5
- Co-authors
- Angshuman Paul (2 shared papers)Appa Rao Chintha (2 shared papers)Saurabh Kundu (2 shared papers)Abhinandan Gangopadhyay (2 shared papers)Dipti Prasad Mukherjee (2 shared papers)Shubhabrata Datta (10 shared papers)Unmesh Patnaik (5 shared papers)Chandra Sekhar Bahinipati (4 shared papers)
- Journals
- Journal of Pharmacy and Pharmacology (4 papers)International Journal of Six Sigma and Competitive Advantage (4 papers)Quality Engineering (4 papers)British Journal of Pharmacology (3 papers)Neural Computing and Applications (3 papers)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Prasun Das
109 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 178
- Management Information Systems 121
- Industrial and Manufacturing Engineering 123
- Medical Laboratory Technology 14
- Management Science and Operations Research 123
- Soil Science 77
Countries citing papers authored by Prasun Das
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
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-authors
The 25 scholars most cited alongside Prasun Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 313 | |
| 2 | 2011 | 62 | |
| 3 | 1997 | 47 | |
| 4 | 2017 | 42 | |
| 5 | 2010 | 40 | |
| 6 | 2017 | 35 | |
| 7 | 1979 | 34 | |
| 8 | 1978 | 33 | |
| 9 | 2008 | 32 | |
| 10 | 2006 | 32 | |
| 11 | 2014 | 30 | |
| 12 | 2011 | 25 | |
| 13 | 2006 | 25 | |
| 14 | 2017 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 1997 | 24 | |
| 17 | 1992 | 24 | |
| 18 | 2016 | 21 | |
| 19 | 1976 | 20 | |
| 20 | 1961 | 19 |
About Prasun Das
Prasun Das is a scholar working on Management Information Systems, Strategy and Management, Molecular Biology, Artificial Intelligence and Mechanical Engineering, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quality and Supply Management (11 papers), Supply Chain and Inventory Management (7 papers), Receptor Mechanisms and Signaling (6 papers), Neural Networks and Applications (6 papers), Fault Detection and Control Systems (5 papers), Advanced machining processes and optimization (5 papers), Sustainable Supply Chain Management (5 papers) and Agricultural risk and resilience (4 papers). The work is most often cited by research in Management Information Systems (121 citations), Industrial and Manufacturing Engineering (123 citations), Medical Laboratory Technology (14 citations), Management Science and Operations Research (123 citations) and Soil Science (77 citations). Prasun Das has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Angshuman Paul, Appa Rao Chintha, Saurabh Kundu, Abhinandan Gangopadhyay, Dipti Prasad Mukherjee, Shubhabrata Datta, Unmesh Patnaik, Chandra Sekhar Bahinipati, Indranil Banerjee and Naranjan S. Dhalla. Their work appears in journals such as Journal of Pharmacy and Pharmacology, International Journal of Six Sigma and Competitive Advantage, Quality Engineering, British Journal of Pharmacology and Neural Computing and Applications.
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.