Monoranjan Bhowmik
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 10%
- Control and Systems Engineering
- Topics
- Multi-Criteria Decision Making (15 papers)Fuzzy and Soft Set Theory (12 papers)Fuzzy Logic and Control Systems (10 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsArtificial Intelligence
- Journals
- International Journal of Fuzzy SystemsFuzzy Information and EngineeringInternational Journal of Fuzzy System Applications
- Partner nations
- IndiaChinaSouth Korea
In The Last Decade
Monoranjan Bhowmik
21 papers receiving 230 citations
Peers
Comparison fields: 5 of 27
- Management Science and Operations Research 239
- Artificial Intelligence 125
- Computational Theory and Mathematics 117
- Statistics and Probability 29
- Control and Systems Engineering 20
Countries citing papers authored by Monoranjan Bhowmik
This map shows the geographic impact of Monoranjan Bhowmik'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 Monoranjan Bhowmik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monoranjan Bhowmik more than expected).
Fields of papers citing papers by Monoranjan Bhowmik
This network shows the impact of papers produced by Monoranjan Bhowmik. 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 Monoranjan Bhowmik. The network helps show where Monoranjan Bhowmik may publish in the future.
Co-authorship network of co-authors of Monoranjan Bhowmik
This figure shows the co-authorship network connecting the top 25 collaborators of Monoranjan Bhowmik. A scholar is included among the top collaborators of Monoranjan Bhowmik 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 Monoranjan Bhowmik. Monoranjan Bhowmik 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 | 10 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | 18 | |
| 8 | 15 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | Intuitionistic fuzzifications of ideals in BG-algebras | 14 |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | Fuzzy Closed Ideals of B-Algebras | 12 |
| 19 | 24 | |
| 20 | Circulant Triangular Fuzzy Number Matrices | 13 |
About Monoranjan Bhowmik
Monoranjan Bhowmik is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 22 papers that have together received 265 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (15 papers), Fuzzy and Soft Set Theory (12 papers) and Fuzzy Logic and Control Systems (10 papers). The work is most often cited by research in Management Science and Operations Research (239 citations), Computational Theory and Mathematics (117 citations) and Artificial Intelligence (125 citations). Monoranjan Bhowmik has collaborated with scholars based in India, China and South Korea. Frequent co-authors include Madhumangal Pal, Tapan Senapati, Chang‐Su Kim, Chiranjibe Jana and K. P. Shum. Their work appears in journals such as International Journal of Fuzzy Systems, Fuzzy Information and Engineering and International Journal of Fuzzy System 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.