Dipankar Chakraborty
- Management Information Systems top 2%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 5%
- Strategy and Management top 5%
- Statistics and Probability top 2%
- Co-authors
- Tapan Kumar RoyDipak Kumar JanaTotan GaraiDebashree GuhaS. ChatterjeeDebabrata DattaManoranjan Maiti
- Topics
- Optimization and Mathematical Programming (15 papers)Multi-Criteria Decision Making (15 papers)Fuzzy Systems and Optimization (12 papers)
- Cited by
- Management Information SystemsStatistics and ProbabilityManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsComputers & Industrial Engineering
In The Last Decade
Dipankar Chakraborty
24 papers receiving 430 citations
Peers
Comparison fields: 5 of 56
- Management Information Systems 229
- Control and Systems Engineering 223
- Management Science and Operations Research 212
- Strategy and Management 190
- Statistics and Probability 149
Countries citing papers authored by Dipankar Chakraborty
This map shows the geographic impact of Dipankar Chakraborty'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 Dipankar Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar Chakraborty more than expected).
Fields of papers citing papers by Dipankar Chakraborty
This network shows the impact of papers produced by Dipankar Chakraborty. 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 Dipankar Chakraborty. The network helps show where Dipankar Chakraborty may publish in the future.
Co-authorship network of co-authors of Dipankar Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Chakraborty. A scholar is included among the top collaborators of Dipankar Chakraborty 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 Dipankar Chakraborty. Dipankar Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 61 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 33 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | Addition two generalized fuzzy numbers | 13 |
About Dipankar Chakraborty
Dipankar Chakraborty is a scholar working on Statistics and Probability, Management Science and Operations Research and Management Information Systems, having authored 25 papers that have together received 470 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (15 papers), Multi-Criteria Decision Making (15 papers) and Fuzzy Systems and Optimization (12 papers). The work is most often cited by research in Management Information Systems (229 citations), Statistics and Probability (149 citations) and Management Science and Operations Research (212 citations). Dipankar Chakraborty has collaborated with scholars based in India and Russia. Frequent co-authors include Tapan Kumar Roy, Dipak Kumar Jana, Totan Garai, Debashree Guha, S. Chatterjee, Debabrata Datta and Manoranjan Maiti. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Industrial Engineering.
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.