Utsab Mukherjee
- Management Science and Operations Research top 2%
- Statistics and Probability top 2%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Humberto BustinceDamodar Prasad GoswamiNikhil R. PalGleb BeliakovMiguel PagolaS. K. SamantaK. C. ChattopadhyaySamir Kumar Bandyopadhyay
- Topics
- Multi-Criteria Decision Making (4 papers)Fuzzy and Soft Set Theory (2 papers)Advanced Algebra and Logic (2 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Journals
- Information SciencesFuzzy Sets and SystemsAsian Journal of Research in Computer Science
In The Last Decade
Utsab Mukherjee
6 papers receiving 321 citations
Peers
Comparison fields: 5 of 42
- Management Science and Operations Research 315
- Statistics and Probability 160
- Control and Systems Engineering 133
- Artificial Intelligence 131
- Computational Theory and Mathematics 86
Countries citing papers authored by Utsab Mukherjee
This map shows the geographic impact of Utsab Mukherjee'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 Utsab Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utsab Mukherjee more than expected).
Fields of papers citing papers by Utsab Mukherjee
This network shows the impact of papers produced by Utsab Mukherjee. 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 Utsab Mukherjee. The network helps show where Utsab Mukherjee may publish in the future.
Co-authorship network of co-authors of Utsab Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Utsab Mukherjee. A scholar is included among the top collaborators of Utsab Mukherjee 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 Utsab Mukherjee. Utsab Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 80 | |
| 4 | 241 | |
| 5 | 4 | |
| 6 | 9 |
About Utsab Mukherjee
Utsab Mukherjee is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability, having authored 6 papers that have together received 336 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (4 papers), Fuzzy and Soft Set Theory (2 papers) and Advanced Algebra and Logic (2 papers). The work is most often cited by research in Management Science and Operations Research (315 citations), Statistics and Probability (160 citations) and Control and Systems Engineering (133 citations). Utsab Mukherjee has collaborated with scholars based in India, Australia and Spain. Frequent co-authors include Humberto Bustince, Damodar Prasad Goswami, Nikhil R. Pal, Gleb Beliakov, Miguel Pagola, S. K. Samanta, K. C. Chattopadhyay, Samir Kumar Bandyopadhyay, Debalina Ghosh and Shawni Dutta. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Asian Journal of Research in Computer Science.
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.