Dipak Kumar Jana
- Control and Systems Engineering top 2%
- Management Science and Operations Research top 1%
- Management Information Systems top 2%
- Statistics and Probability top 1%
- Strategy and Management top 5%
- Co-authors
- Tapan Kumar RoyDipankar ChakrabortyManoranjan MaitiShyamal Kumar MondalPrabir PanjaBarnali BejAnupam MukherjeeBarun Das
- Topics
- Optimization and Mathematical Programming (44 papers)Multi-Criteria Decision Making (39 papers)Supply Chain and Inventory Management (31 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionElectrochimica Acta
- Partner nations
- IndiaBangladeshCzechia
In The Last Decade
Dipak Kumar Jana
105 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Control and Systems Engineering 532
- Management Science and Operations Research 460
- Management Information Systems 312
- Statistics and Probability 298
- Strategy and Management 297
Countries citing papers authored by Dipak Kumar Jana
This map shows the geographic impact of Dipak Kumar Jana'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 Dipak Kumar Jana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipak Kumar Jana more than expected).
Fields of papers citing papers by Dipak Kumar Jana
This network shows the impact of papers produced by Dipak Kumar Jana. 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 Dipak Kumar Jana. The network helps show where Dipak Kumar Jana may publish in the future.
Co-authorship network of co-authors of Dipak Kumar Jana
This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Kumar Jana. A scholar is included among the top collaborators of Dipak Kumar Jana 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 Dipak Kumar Jana. Dipak Kumar Jana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | 10 | |
| 17 | 33 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 10 |
About Dipak Kumar Jana
Dipak Kumar Jana is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability, having authored 112 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (44 papers), Multi-Criteria Decision Making (39 papers) and Supply Chain and Inventory Management (31 papers). The work is most often cited by research in Management Science and Operations Research (460 citations), Statistics and Probability (298 citations) and Management Information Systems (312 citations). Dipak Kumar Jana has collaborated with scholars based in India, Bangladesh and Czechia. Frequent co-authors include Tapan Kumar Roy, Dipankar Chakraborty, Manoranjan Maiti, Shyamal Kumar Mondal, Prabir Panja, Barnali Bej, Anupam Mukherjee, Barun Das, K. Maity and Subrata Chakraborty. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Electrochimica Acta.
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.