David P. Harrington
- Statistics and Probability top 0.05%
- Oncology top 5%
- Epidemiology top 5%
- Hematology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Thomas R. FlemingDorota M. DabrowskaStuart R. LipsitzNan M. LairdPeter C. O’BrienPeter A. CassilethJohn M. BennettLynn A. Sleeper
- Topics
- Statistical Methods and Inference (22 papers)Statistical Methods and Bayesian Inference (17 papers)Statistical Methods in Clinical Trials (15 papers)
- Journals
- New England Journal of MedicineJournal of Clinical OncologyJournal of the American Statistical Association
- Partner nations
- United StatesGambiaCanada
In The Last Decade
David P. Harrington
74 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Statistics and Probability 2.6k
- Oncology 920
- Epidemiology 645
- Hematology 603
- Public Health, Environmental and Occupational Health 599
Countries citing papers authored by David P. Harrington
This map shows the geographic impact of David P. Harrington'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 P. Harrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Harrington more than expected).
Fields of papers citing papers by David P. Harrington
This network shows the impact of papers produced by David P. Harrington. 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 P. Harrington. The network helps show where David P. Harrington may publish in the future.
Co-authorship network of co-authors of David P. Harrington
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Harrington. A scholar is included among the top collaborators of David P. Harrington 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 P. Harrington. David P. Harrington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 246 | |
| 3 | 76 | |
| 4 | 42 | |
| 5 | 2 | |
| 6 | 84 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 446 | |
| 11 | 32 | |
| 12 | 5 | |
| 13 | 100 | |
| 14 | 26 | |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 9 | |
| 20 | 131 |
About David P. Harrington
David P. Harrington is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 75 papers that have together received 6.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (17 papers) and Statistical Methods in Clinical Trials (15 papers). The work is most often cited by research in Statistics and Probability (2.6k citations), Transplantation (149 citations) and Hematology (603 citations). David P. Harrington has collaborated with scholars based in United States, Gambia and Canada. Frequent co-authors include Thomas R. Fleming, Dorota M. Dabrowska, Stuart R. Lipsitz, Nan M. Laird, Peter C. O’Brien, Peter A. Cassileth, John M. Bennett, Lynn A. Sleeper, Judith R. OʼFallon and Richard S. Neiman. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.