Malay Ghosh
- Statistics and Probability top 0.1%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 1%
- Economics and Econometrics top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Co-authors
- J. N. K. RaoNitis MukhopadhyayGeorge CasellaMinjung KyungJeff GillGlen MeedenPranab K. SenPranab Kumar Sen
- Topics
- Statistical Methods and Inference (56 papers)Statistical Methods and Bayesian Inference (46 papers)Advanced Statistical Methods and Models (37 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Malay Ghosh
97 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 143
- Statistics and Probability 1.6k
- Artificial Intelligence 599
- Management Science and Operations Research 467
- Economics and Econometrics 399
- Statistics, Probability and Uncertainty 331
Countries citing papers authored by Malay Ghosh
This map shows the geographic impact of Malay Ghosh'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 Malay Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malay Ghosh more than expected).
Fields of papers citing papers by Malay Ghosh
This network shows the impact of papers produced by Malay Ghosh. 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 Malay Ghosh. The network helps show where Malay Ghosh may publish in the future.
Co-authorship network of co-authors of Malay Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Malay Ghosh. A scholar is included among the top collaborators of Malay Ghosh 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 Malay Ghosh. Malay Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 9 | |
| 8 | 351 | |
| 9 | 3 | |
| 10 | 43 | |
| 11 | 4 | |
| 12 | 205 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 65 | |
| 17 | 11 | |
| 18 | 14 | |
| 19 | Admissibility of the MLE of the normal integer mean | 9 |
| 20 | 34 |
About Malay Ghosh
Malay Ghosh is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 102 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (56 papers), Statistical Methods and Bayesian Inference (46 papers) and Advanced Statistical Methods and Models (37 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Statistics, Probability and Uncertainty (331 citations) and Management Science and Operations Research (467 citations). Malay Ghosh has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include J. N. K. Rao, Nitis Mukhopadhyay, George Casella, Minjung Kyung, Jeff Gill, Glen Meeden, Pranab K. Sen, Pranab Kumar Sen, Dipak K. Dey and Gauri Sankar Datta. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.
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.