Forrest W. Crawford
- Infectious Diseases top 2%
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 5%
- Modeling and Simulation top 1%
- Co-authors
- Marc A. SuchardVirginia E. PitzerDaniel M. WeinbergerSarah J. NelsonSoonmee ChaJoshua L. WarrenGregg GonsalvesSusan M. Chang
- Topics
- HIV, Drug Use, Sexual Risk (22 papers)HIV/AIDS Research and Interventions (14 papers)COVID-19 epidemiological studies (12 papers)
- Partner nations
- United StatesBelgiumMalaysia
In The Last Decade
Forrest W. Crawford
67 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 162
- Infectious Diseases 688
- Epidemiology 465
- Radiology, Nuclear Medicine and Imaging 398
- Genetics 325
- Modeling and Simulation 261
Countries citing papers authored by Forrest W. Crawford
This map shows the geographic impact of Forrest W. Crawford'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 Forrest W. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forrest W. Crawford more than expected).
Fields of papers citing papers by Forrest W. Crawford
This network shows the impact of papers produced by Forrest W. Crawford. 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 Forrest W. Crawford. The network helps show where Forrest W. Crawford may publish in the future.
Co-authorship network of co-authors of Forrest W. Crawford
This figure shows the co-authorship network connecting the top 25 collaborators of Forrest W. Crawford. A scholar is included among the top collaborators of Forrest W. Crawford 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 Forrest W. Crawford. Forrest W. Crawford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | Conformal prediction for exponential families and generalized linear models | 1 |
| 6 | 23 | |
| 7 | 74 | |
| 8 | 10 | |
| 9 | 21 | |
| 10 | 219 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 34 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 36 | |
| 17 | 19 | |
| 18 | 15 | |
| 19 | SEX, LIES, AND SELF-REPORTED COUNTS: BAYESIAN MIXTURE MODELS FOR LONGITUDINAL HEAPED COUNT DATA VIA BIRTH-DEATH PROCESSES | 3 |
| 20 | 80 |
About Forrest W. Crawford
Forrest W. Crawford is a scholar working on Modeling and Simulation, Statistics and Probability and Infectious Diseases, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (22 papers), HIV/AIDS Research and Interventions (14 papers) and COVID-19 epidemiological studies (12 papers). The work is most often cited by research in Modeling and Simulation (261 citations), Infectious Diseases (688 citations) and Genetics (325 citations). Forrest W. Crawford has collaborated with scholars based in United States, Belgium and Malaysia. Frequent co-authors include Marc A. Suchard, Virginia E. Pitzer, Daniel M. Weinberger, Sarah J. Nelson, Soonmee Cha, Joshua L. Warren, Gregg Gonsalves, Susan M. Chang, Ted Cohen and Gi Deok Pak. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.