Joseph H. Tien
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Endocrinology top 0.5%
- Genetics top 10%
- Computational Mechanics top 5%
- Co-authors
- David J. D. EarnMarisa C. EisenbergMoshe MatalonDavid N. FismanSuzanne L. RobertsonAshleigh R. TuiteP. van den DriesscheZhisheng Shuai
- Topics
- COVID-19 epidemiological studies (17 papers)Vibrio bacteria research studies (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)
- 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
- Public Health, Environmental and Occupational Health 642
- Endocrinology 537
- Genetics 307
- Computational Mechanics 207
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 of co-authors of Joseph H. Tien
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph H. Tien. A scholar is included among the top collaborators of Joseph H. Tien 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 Joseph H. Tien. Joseph H. Tien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 105 | |
| 11 | 134 | |
| 12 | 91 | |
| 13 | 49 | |
| 14 | 92 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | Dynamics of fish shoals: identifying key decision rules | 67 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 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) and Mathematical and Theoretical Epidemiology and Ecology Models (10 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.