P. Richard Hahn
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Molecular Biology
- Management Science and Operations Research top 10%
- Co-authors
- Carlos M. CarvalhoJared S. MurrayShira HahnGautam DasarathyJulie LissPavan TuragaVisar BerishaJingyu He
- Topics
- Statistical Methods and Inference (13 papers)Statistical Methods and Bayesian Inference (8 papers)Gaussian Processes and Bayesian Inference (6 papers)
- Journals
- Journal of the American Statistical AssociationACM Computing SurveysJournal of Business and Economic Statistics
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
P. Richard Hahn
22 papers receiving 602 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Statistics and Probability 257
- Artificial Intelligence 195
- Economics and Econometrics 94
- Molecular Biology 50
- Management Science and Operations Research 50
Countries citing papers authored by P. Richard Hahn
This map shows the geographic impact of P. Richard Hahn'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 P. Richard Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Richard Hahn more than expected).
Fields of papers citing papers by P. Richard Hahn
This network shows the impact of papers produced by P. Richard Hahn. 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 P. Richard Hahn. The network helps show where P. Richard Hahn may publish in the future.
Co-authorship network of co-authors of P. Richard Hahn
This figure shows the co-authorship network connecting the top 25 collaborators of P. Richard Hahn. A scholar is included among the top collaborators of P. Richard Hahn 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 P. Richard Hahn. P. Richard Hahn 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 | Digital medicine and the curse of dimensionalitybreakdown → | 178 |
| 3 | 12 | |
| 4 | 39 | |
| 5 | Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)breakdown → | 178 |
| 6 | 1 | |
| 7 | XBART: Accelerated Bayesian Additive Regression Trees | 2 |
| 8 | 8 | |
| 9 | Accelerated Bayesian Additive Regression Trees. | 2 |
| 10 | 19 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | A Bayesian Partial Identification Approach to Inferring the Prevalance of Accounting Misconduct | 1 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | 86 | |
| 19 | 12 | |
| 20 | 14 |
About P. Richard Hahn
P. Richard Hahn is a scholar working on Statistics and Probability, Artificial Intelligence and General Economics, Econometrics and Finance, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (257 citations), Health Informatics (22 citations) and Artificial Intelligence (195 citations). P. Richard Hahn has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Carlos M. Carvalho, Jared S. Murray, Shira Hahn, Gautam Dasarathy, Julie Liss, Pavan Turaga, Visar Berisha, Jingyu He, Hedibert F. Lopes and Jundong Li. Their work appears in journals such as Journal of the American Statistical Association, ACM Computing Surveys and Journal of Business and Economic Statistics.
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.