Dinabandhu Bhandari
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computer Vision and Pattern Recognition top 5%
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- Nikhil R. PalSankar K. PalC.A. MurthyMalay K. KunduD. Dutta MajumderSwarup RoyDevendra Singh DhamiPietro Hiram Guzzi
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Evolutionary Algorithms and Applications (4 papers)Multi-Criteria Decision Making (3 papers)
In The Last Decade
Dinabandhu Bhandari
15 papers receiving 630 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 259
- Management Science and Operations Research 228
- Computer Vision and Pattern Recognition 187
- Statistics and Probability 143
- Computational Theory and Mathematics 87
Countries citing papers authored by Dinabandhu Bhandari
This map shows the geographic impact of Dinabandhu Bhandari'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 Dinabandhu Bhandari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinabandhu Bhandari more than expected).
Fields of papers citing papers by Dinabandhu Bhandari
This network shows the impact of papers produced by Dinabandhu Bhandari. 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 Dinabandhu Bhandari. The network helps show where Dinabandhu Bhandari may publish in the future.
Co-authorship network of co-authors of Dinabandhu Bhandari
This figure shows the co-authorship network connecting the top 25 collaborators of Dinabandhu Bhandari. A scholar is included among the top collaborators of Dinabandhu Bhandari 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 Dinabandhu Bhandari. Dinabandhu Bhandari 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 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 156 | |
| 11 | 25 | |
| 12 | 73 | |
| 13 | 28 | |
| 14 | 49 | |
| 15 | 240 | |
| 16 | 46 | |
| 17 | 22 |
About Dinabandhu Bhandari
Dinabandhu Bhandari is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 17 papers that have together received 689 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Management Science and Operations Research (228 citations), Statistics and Probability (143 citations) and Computer Vision and Pattern Recognition (187 citations). Dinabandhu Bhandari has collaborated with scholars based in India, Italy and Germany. Frequent co-authors include Nikhil R. Pal, Sankar K. Pal, C.A. Murthy, Malay K. Kundu, D. Dutta Majumder, Swarup Roy, Devendra Singh Dhami, Pietro Hiram Guzzi, Jayantee Kalita and Rajat Varma. Their work appears in journals such as Information Sciences, Pattern Recognition Letters and Signal Processing.
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.