Pritam Ranjan
- Computational Theory and Mathematics top 2%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Co-authors
- Derek BinghamGeorge MichailidisHugh ChipmanRonald D. HaynesRichard KarstenRobert B. GramacyHerbert K. H. LeeGenetha A. Gray
- Topics
- Advanced Multi-Objective Optimization Algorithms (17 papers)Optimal Experimental Design Methods (11 papers)Gaussian Processes and Bayesian Inference (9 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Pritam Ranjan
28 papers receiving 505 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 321
- Management Science and Operations Research 208
- Statistics, Probability and Uncertainty 207
- Artificial Intelligence 158
- Control and Systems Engineering 40
Countries citing papers authored by Pritam Ranjan
This map shows the geographic impact of Pritam Ranjan'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 Pritam Ranjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritam Ranjan more than expected).
Fields of papers citing papers by Pritam Ranjan
This network shows the impact of papers produced by Pritam Ranjan. 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 Pritam Ranjan. The network helps show where Pritam Ranjan may publish in the future.
Co-authorship network of co-authors of Pritam Ranjan
This figure shows the co-authorship network connecting the top 25 collaborators of Pritam Ranjan. A scholar is included among the top collaborators of Pritam Ranjan 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 Pritam Ranjan. Pritam Ranjan 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 67 | |
| 10 | Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization | 7 |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 78 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 167 | |
| 20 | ANALYSIS OF ADAPTIVE RANDOM EARLY DECTION (ADAPTIVE RED) | 3 |
About Pritam Ranjan
Pritam Ranjan is a scholar working on Management of Technology and Innovation, Computational Theory and Mathematics and Management Science and Operations Research, having authored 32 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (17 papers), Optimal Experimental Design Methods (11 papers) and Gaussian Processes and Bayesian Inference (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (207 citations), Computational Theory and Mathematics (321 citations) and Management Science and Operations Research (208 citations). Pritam Ranjan has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Derek Bingham, George Michailidis, Hugh Chipman, Ronald D. Haynes, Richard Karsten, Robert B. Gramacy, Herbert K. H. Lee, Genetha A. Gray, Stefan M. Wild and Sébastien Le Digabel. Their work appears in journals such as PLoS ONE, Technometrics and Journal of Statistical Software.
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.