Rob Trangucci
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Health disparities and outcomes
- Vaccine Coverage and Hesitancy
Papers in
-
- Data-Driven Disease Surveillance 2
- Influenza Virus Research Studies 1
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- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 1
- Co-authors
- Jon Zelner (6 shared papers)Kelly Broen (2 shared papers)Paul L. Delamater (1 shared paper)Alex Cao (1 shared paper)Ryan E. Malosh (1 shared paper)Nina B. Masters (1 shared paper)Ting Li (1 shared paper)Joshua G. Petrie (1 shared paper)
- Journals
- The Journal of Infectious Diseases (1 paper)Ecological Monographs (1 paper)Clinical Infectious Diseases (1 paper)Bayesian Analysis (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesGhanaChina
In The Last Decade
Rob Trangucci
6 papers receiving 177 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 28
- Health 30
- Infectious Diseases 27
- Aging 2
- Health, Toxicology and Mutagenesis 15
Countries citing papers authored by Rob Trangucci
This map shows the geographic impact of Rob Trangucci'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 Rob Trangucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Trangucci more than expected).
Fields of papers citing papers by Rob Trangucci
This network shows the impact of papers produced by Rob Trangucci. 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 Rob Trangucci. The network helps show where Rob Trangucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Trangucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2020 | 36 | |
| 3 | 2020 | 13 | |
| 4 | 2019 | 10 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2023 | 0 |
About Rob Trangucci
Rob Trangucci is a scholar working on Epidemiology, Statistics and Probability, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 8 papers that have together received 182 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (2 papers), Statistical Methods and Bayesian Inference (2 papers), Climate Change and Health Impacts (1 paper), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Child Nutrition and Water Access (1 paper), Statistical Methods and Inference (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Health (30 citations), Infectious Diseases (27 citations), Aging (2 citations) and Health, Toxicology and Mutagenesis (15 citations). Rob Trangucci has collaborated with scholars based in United States, Ghana and China. Frequent co-authors include Jon Zelner, Kelly Broen, Paul L. Delamater, Alex Cao, Ryan E. Malosh, Nina B. Masters, Ting Li, Joshua G. Petrie, Philip A. Collender and Justin V. Remais. Their work appears in journals such as The Journal of Infectious Diseases, Ecological Monographs, Clinical Infectious Diseases, Bayesian Analysis and The Annals of Applied 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.