Thomas J. Hladish
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 11
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- Mosquito-borne diseases and control 8
- Malaria Research and Control 3
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- Viral Infections and Vectors 5
- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 2
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- Viral Infections and Immunology Research 2
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- Complex Network Analysis Techniques 2
- Co-authors
- Ira M. LonginiCarl A. B. PearsonHector Gómez‐DantésGonzalo M. Vazquez‐ProkopecDiana P. RojasM. Elizabeth HalloranPablo Manrique‐SaideLauren Ancel Meyers
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- Proceedings of the National Academy of Sciences (1 paper)American Journal of Epidemiology (1 paper)International Journal of Epidemiology (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Thomas J. Hladish
16 papers receiving 269 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 116
- Public Health, Environmental and Occupational Health 199
- Infectious Diseases 108
- Insect Science 42
- Ecological Modeling 5
Countries citing papers authored by Thomas J. Hladish
This map shows the geographic impact of Thomas J. Hladish'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 Thomas J. Hladish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Hladish more than expected).
Fields of papers citing papers by Thomas J. Hladish
This network shows the impact of papers produced by Thomas J. Hladish. 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 Thomas J. Hladish. The network helps show where Thomas J. Hladish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas J. Hladish, 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 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 32 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 53 | |
| 13 | 2018 | 40 | |
| 14 | 2016 | 38 | |
| 15 | 2015 | 18 | |
| 16 | 2012 | 27 | |
| 17 | 2007 | 5 |
About Thomas J. Hladish
Thomas J. Hladish is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 275 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Malaria Research and Control (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Immunology Research (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Public Health, Environmental and Occupational Health (199 citations) and Infectious Diseases (108 citations). Thomas J. Hladish has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Ira M. Longini, Carl A. B. Pearson, Hector Gómez‐Dantés, Gonzalo M. Vazquez‐Prokopec, Diana P. Rojas, M. Elizabeth Halloran, Pablo Manrique‐Saide, Lauren Ancel Meyers, Kok Ben Toh and Norma Pavía‐Ruz. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Epidemiology and International Journal of Epidemiology.
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.