Joseph H. Tien
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 17
- Endocrinology top 0.5%
- Vibrio bacteria research studies 10
- Escherichia coli research studies 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
- Genetics top 10%
- Evolution and Genetic Dynamics 6
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- Influenza Virus Research Studies 6
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- Combustion and flame dynamics 5
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- Misinformation and Its Impacts 3
- Co-authors
- David J. D. EarnMarisa C. EisenbergMoshe MatalonDavid N. FismanSuzanne L. RobertsonAshleigh R. TuiteP. van den DriesscheZhisheng Shuai
- Journals
- New England Journal of Medicine (1 paper)Annals of Internal Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Joseph H. Tien
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 779
- Endocrinology 537
- Fluid Flow and Transfer Processes 155
- Public Health, Environmental and Occupational Health 642
- Genetics 307
Countries citing papers authored by Joseph H. Tien
This map shows the geographic impact of Joseph H. Tien'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 Joseph H. Tien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph H. Tien more than expected).
Fields of papers citing papers by Joseph H. Tien
This network shows the impact of papers produced by Joseph H. Tien. 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 Joseph H. Tien. The network helps show where Joseph H. Tien may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph H. Tien, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 4 | |
| 7 | 2017 | 5 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 26 | |
| 10 | 2014 | 105 | |
| 11 | 2013 | 134 | |
| 12 | 2013 | 91 | |
| 13 | 2013 | 49 | |
| 14 | 2013 | 92 | |
| 15 | 2010 | 1 | |
| 16 | 2007 | 16 | |
| 17 | Dynamics of fish shoals: identifying key decision rules | 2004 | 67 |
| 18 | 2004 | 1 | |
| 19 | 2004 | 5 | |
| 20 | 2004 | 10 |
About Joseph H. Tien
Joseph H. Tien is a scholar working on Modeling and Simulation, Endocrinology and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Vibrio bacteria research studies (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Influenza Virus Research Studies (6 papers), Evolution and Genetic Dynamics (6 papers), Combustion and flame dynamics (5 papers), Misinformation and Its Impacts (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Modeling and Simulation (779 citations), Endocrinology (537 citations) and Fluid Flow and Transfer Processes (155 citations). Joseph H. Tien has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David J. D. Earn, Marisa C. Eisenberg, Moshe Matalon, David N. Fisman, Suzanne L. Robertson, Ashleigh R. Tuite, P. van den Driessche, Zhisheng Shuai, Junling Ma and R. J. Stalker. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and Scientific Reports.
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.