David Draper
- Epidemiology top 2%
- Statistics and Probability top 0.5%
- Economics and Econometrics top 1%
- Public Health, Environmental and Occupational Health top 2%
- General Health Professions top 2%
- Co-authors
- William J. BrowneGabriel J. EscobarPatricia KipnisSeunghwan WiKaren M. PuopoloThomas B. NewmanDimitris FouskakisMarla N. Gardner
- Topics
- Bayesian Methods and Mixture Models (15 papers)Statistical Methods and Bayesian Inference (15 papers)Statistical Methods and Inference (14 papers)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
David Draper
66 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Epidemiology 1.0k
- Statistics and Probability 807
- Economics and Econometrics 739
- Public Health, Environmental and Occupational Health 717
- General Health Professions 639
Countries citing papers authored by David Draper
This map shows the geographic impact of David Draper'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 David Draper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Draper more than expected).
Fields of papers citing papers by David Draper
This network shows the impact of papers produced by David Draper. 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 David Draper. The network helps show where David Draper may publish in the future.
Co-authorship network of co-authors of David Draper
This figure shows the co-authorship network connecting the top 25 collaborators of David Draper. A scholar is included among the top collaborators of David Draper 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 David Draper. David Draper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Asynchronous Gibbs Sampling. | 3 |
| 2 | 122 | |
| 3 | 20 | |
| 4 | Heterogeneous Treatment Effects in Digital Experimentation | 3 |
| 5 | 41 | |
| 6 | 154 | |
| 7 | 142 | |
| 8 | 29 | |
| 9 | Bayesian Model Specication: Heuristics and Examples | 6 |
| 10 | Assessment of Parametric Uncertainty using Markov Chain Monte Carlo Methods for Surface Complexation Models in Groundwater Reactive Transport Modeling | 0 |
| 11 | 14 | |
| 12 | 58 | |
| 13 | 7 | |
| 14 | 261 | |
| 15 | The scientific value of Bayesian statistical methods | 0 |
| 16 | Assessment and Propagation of Model Uncertaintybreakdown → | 1062 |
| 17 | 84 | |
| 18 | 36 | |
| 19 | The Effects of the DRG-Based Prospective Payment System on Quality of Care for Hospitalized Medicare Patients: Final Report | 7 |
| 20 | 2 |
About David Draper
David Draper is a scholar working on Statistics and Probability, Emergency Medicine and Artificial Intelligence, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (15 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Statistics and Probability (807 citations), Emergency Medicine (457 citations) and Statistics, Probability and Uncertainty (297 citations). David Draper has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include William J. Browne, Gabriel J. Escobar, Patricia Kipnis, Seunghwan Wi, Karen M. Puopolo, Thomas B. Newman, Dimitris Fouskakis, Marla N. Gardner, J Greene and William H. Rogers. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of the American Statistical Association.
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.