Rajen B. Bhatt
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- M. GopalSwathi Jamjala NarayananIlango ParamasivamGaurav SharmaAbhinav DhallSantanu ChaudhuryP. KrishnamoorthyB. K. Tripathy
- Topics
- Rough Sets and Fuzzy Logic (12 papers)Fuzzy Logic and Control Systems (11 papers)Neural Networks and Applications (6 papers)
- Cited by
- Computational Theory and MathematicsInformation SystemsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPattern Recognition LettersInternational Journal of Intelligent Systems
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Rajen B. Bhatt
21 papers receiving 403 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 259
- Artificial Intelligence 205
- Information Systems 179
- Management Science and Operations Research 80
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Rajen B. Bhatt
This map shows the geographic impact of Rajen B. Bhatt'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 Rajen B. Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajen B. Bhatt more than expected).
Fields of papers citing papers by Rajen B. Bhatt
This network shows the impact of papers produced by Rajen B. Bhatt. 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 Rajen B. Bhatt. The network helps show where Rajen B. Bhatt may publish in the future.
Co-authorship network of co-authors of Rajen B. Bhatt
This figure shows the co-authorship network connecting the top 25 collaborators of Rajen B. Bhatt. A scholar is included among the top collaborators of Rajen B. Bhatt 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 Rajen B. Bhatt. Rajen B. Bhatt 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 | 4 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 17 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 67 | |
| 18 | 0 | |
| 19 | 12 | |
| 20 | 167 |
About Rajen B. Bhatt
Rajen B. Bhatt is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (12 papers), Fuzzy Logic and Control Systems (11 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (259 citations), Information Systems (179 citations) and Management Science and Operations Research (80 citations). Rajen B. Bhatt has collaborated with scholars based in India, United States and Germany. Frequent co-authors include M. Gopal, Swathi Jamjala Narayanan, Ilango Paramasivam, Gaurav Sharma, Abhinav Dhall, Santanu Chaudhury, P. Krishnamoorthy, B. K. Tripathy, Muhammad Rukunuddin Ghalib and Achyut Shankar. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and International Journal of Intelligent Systems.
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.