Arijit Chakrabarti
- Statistics and Probability top 10%
- Artificial Intelligence
- Economics and Econometrics
- Statistical and Nonlinear Physics
- General Economics, Econometrics and Finance
- Co-authors
- Prasenjit GhoshJayanta K. GhoshT. K. SamantaJayanta Kumar GhoshFlorian FrommletMałgorzata BogdanMalay Ghosh
- Topics
- Statistical Methods and Inference (3 papers)Statistical Methods and Bayesian Inference (2 papers)Advanced Statistical Methods and Models (2 papers)
- Cited by
- Statistics and ProbabilityArtificial IntelligenceGeneral Economics, Econometrics and Finance
- Journals
- Journal of Statistical Planning and InferenceAnnals of the Institute of Statistical MathematicsBayesian Analysis
- Partner nations
- IndiaUnited States
In The Last Decade
Arijit Chakrabarti
6 papers receiving 34 citations
Peers
Comparison fields: 5 of 19
- Statistics and Probability 25
- Artificial Intelligence 17
- Economics and Econometrics 5
- Statistical and Nonlinear Physics 2
- General Economics, Econometrics and Finance 2
Countries citing papers authored by Arijit Chakrabarti
This map shows the geographic impact of Arijit Chakrabarti'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 Arijit Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Chakrabarti more than expected).
Fields of papers citing papers by Arijit Chakrabarti
This network shows the impact of papers produced by Arijit Chakrabarti. 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 Arijit Chakrabarti. The network helps show where Arijit Chakrabarti may publish in the future.
Co-authorship network of co-authors of Arijit Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Arijit Chakrabarti. A scholar is included among the top collaborators of Arijit Chakrabarti 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 Arijit Chakrabarti. Arijit Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | The Bayes oracle and asymptotic optimality of multiple testing procedures under sparsity | 1 |
| 6 | 9 |
About Arijit Chakrabarti
Arijit Chakrabarti is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 6 papers that have together received 34 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (25 citations), Artificial Intelligence (17 citations) and General Economics, Econometrics and Finance (2 citations). Arijit Chakrabarti has collaborated with scholars based in India and United States. Frequent co-authors include Prasenjit Ghosh, Jayanta K. Ghosh, T. K. Samanta, Jayanta Kumar Ghosh, Florian Frommlet, Małgorzata Bogdan and Malay Ghosh. Their work appears in journals such as Journal of Statistical Planning and Inference, Annals of the Institute of Statistical Mathematics and Bayesian Analysis.
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.