Prasun Kumar Nayak
- Management Information Systems top 2%
- Strategy and Management top 5%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Statistics and Probability top 2%
- Co-authors
- Mijanur Rahaman SeikhSubhendu RuidasMadhumangal PalJacob FishS. MarkolefasMark H. HolmesMing‐Lang TsengSujit Kumar De
- Topics
- Multi-Criteria Decision Making (19 papers)Fuzzy Systems and Optimization (18 papers)Optimization and Mathematical Programming (18 papers)
- Cited by
- Management Information SystemsStatistics and ProbabilityManagement Science and Operations Research
- Journals
- European Journal of Operational ResearchApplied Soft ComputingComputers & Operations Research
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Prasun Kumar Nayak
43 papers receiving 797 citations
Peers
Comparison fields: 5 of 70
- Management Information Systems 309
- Strategy and Management 293
- Management Science and Operations Research 283
- Control and Systems Engineering 235
- Statistics and Probability 194
Countries citing papers authored by Prasun Kumar Nayak
This map shows the geographic impact of Prasun Kumar Nayak'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 Kumar Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasun Kumar Nayak more than expected).
Fields of papers citing papers by Prasun Kumar Nayak
This network shows the impact of papers produced by Prasun Kumar Nayak. 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 Kumar Nayak. The network helps show where Prasun Kumar Nayak may publish in the future.
Co-authorship network of co-authors of Prasun Kumar Nayak
This figure shows the co-authorship network connecting the top 25 collaborators of Prasun Kumar Nayak. A scholar is included among the top collaborators of Prasun Kumar Nayak 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 Kumar Nayak. Prasun Kumar Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 36 | |
| 3 | 29 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 30 | |
| 9 | 20 | |
| 10 | 5 | |
| 11 | Solving Bi-matrix Games with Pay-offs of Triangular In-tuitionistic Fuzzy Numbers | 5 |
| 12 | 2 | |
| 13 | 27 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 15 | |
| 18 | Multisection Technique to Solve Interval-valued Purchasing Inventory Models without Shortages | 4 |
| 19 | 11 | |
| 20 | 38 |
About Prasun Kumar Nayak
Prasun Kumar Nayak is a scholar working on Statistics and Probability, Management Science and Operations Research and Management Information Systems, having authored 44 papers that have together received 842 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Fuzzy Systems and Optimization (18 papers) and Optimization and Mathematical Programming (18 papers). The work is most often cited by research in Management Information Systems (309 citations), Statistics and Probability (194 citations) and Management Science and Operations Research (283 citations). Prasun Kumar Nayak has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Mijanur Rahaman Seikh, Subhendu Ruidas, Madhumangal Pal, Jacob Fish, S. Markolefas, Mark H. Holmes, Ming‐Lang Tseng, Sujit Kumar De, Biswajit Sarkar and Florentín Smarandache. Their work appears in journals such as European Journal of Operational Research, Applied Soft Computing and Computers & Operations Research.
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.