Rahul Mukerjee
- Statistics and Probability top 0.2%
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 0.5%
- Electrical and Electronic Engineering top 10%
- Statistics, Probability and Uncertainty top 0.5%
- Co-authors
- Arijit ChaudhuriAloke DeyGauri Sankar DattaC. F. Jeff WuChangbao WuGad NathanJayanta K. GhoshBoxin Tang
- Topics
- Optimal Experimental Design Methods (90 papers)Statistical Methods and Bayesian Inference (41 papers)graph theory and CDMA systems (35 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Rahul Mukerjee
165 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 1.3k
- Management Science and Operations Research 1.2k
- Computational Theory and Mathematics 660
- Electrical and Electronic Engineering 389
- Statistics, Probability and Uncertainty 321
Countries citing papers authored by Rahul Mukerjee
This map shows the geographic impact of Rahul Mukerjee'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 Rahul Mukerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Mukerjee more than expected).
Fields of papers citing papers by Rahul Mukerjee
This network shows the impact of papers produced by Rahul Mukerjee. 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 Rahul Mukerjee. The network helps show where Rahul Mukerjee may publish in the future.
Co-authorship network of co-authors of Rahul Mukerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Mukerjee. A scholar is included among the top collaborators of Rahul Mukerjee 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 Rahul Mukerjee. Rahul Mukerjee 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 | 0 | |
| 4 | Using immersive research to understand rural sanitation: lessons from the Swachh Bharat Mission in India | 4 |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 134 | |
| 11 | Optimal designs for diallel crosses with specific combining abilities | 4 |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 22 |
About Rahul Mukerjee
Rahul Mukerjee is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 184 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (90 papers), Statistical Methods and Bayesian Inference (41 papers) and graph theory and CDMA systems (35 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Management Science and Operations Research (1.2k citations) and Statistics, Probability and Uncertainty (321 citations). Rahul Mukerjee has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Arijit Chaudhuri, Aloke Dey, Gauri Sankar Datta, C. F. Jeff Wu, Changbao Wu, Gad Nathan, Jayanta K. Ghosh, Boxin Tang, Dipak K. Dey and Ching‐Shui Cheng. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Marketing Research.
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.