Ian Hall
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 36
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- Nuclear physics research studies 23
- Radiation top 2%
- Endocrinology top 5%
- Vibrio bacteria research studies 10
- Infectious Diseases top 5%
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- Atomic and Molecular Physics 14
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- Zoonotic diseases and public health 12
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- Bacillus and Francisella bacterial research 12
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- Influenza Virus Research Studies 9
- Data-Driven Disease Surveillance 9
- Co-authors
- Stephen LeachR.G. StokstadG. James RubinJackie Leach ScullyA. ChristyRebecca WebsterMargaux M. I. MesléI.M. Naqib
- Journals
- Journal of Physics Condensed Matter (10 papers)Epidemiology and Infection (9 papers)PLoS Computational Biology (6 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ian Hall
147 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 175
- Modeling and Simulation 473
- Nuclear and High Energy Physics 605
- Radiation 255
- Endocrinology 117
- Infectious Diseases 319
Countries citing papers authored by Ian Hall
This map shows the geographic impact of Ian Hall'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 Ian Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Hall more than expected).
Fields of papers citing papers by Ian Hall
This network shows the impact of papers produced by Ian Hall. 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 Ian Hall. The network helps show where Ian Hall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian Hall, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 1 | |
| 15 | Impact of covid-19 on prep prescriptions in the united states: A time series analysis | 2021 | 2 |
| 16 | 2017 | 10 | |
| 17 | Helping nurses reconnect with their compassion. | 2016 | 1 |
| 18 | 2013 | 4 | |
| 19 | 2012 | 15 | |
| 20 | 2011 | 12 |
About Ian Hall
Ian Hall is a scholar working on Modeling and Simulation, Endocrinology, Nuclear and High Energy Physics, Infectious Diseases and Radiation, having authored 156 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (36 papers), Nuclear physics research studies (23 papers), Atomic and Molecular Physics (14 papers), Zoonotic diseases and public health (12 papers), Bacillus and Francisella bacterial research (12 papers), Vibrio bacteria research studies (10 papers), Influenza Virus Research Studies (9 papers) and Data-Driven Disease Surveillance (9 papers). The work is most often cited by research in Modeling and Simulation (473 citations), Nuclear and High Energy Physics (605 citations), Radiation (255 citations), Endocrinology (117 citations) and Infectious Diseases (319 citations). Ian Hall has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stephen Leach, R.G. Stokstad, G. James Rubin, Jackie Leach Scully, A. Christy, Rebecca Webster, Margaux M. I. Meslé, I.M. Naqib, Raymond Gani and Caroline E. Walters. Their work appears in journals such as Journal of Physics Condensed Matter, Epidemiology and Infection, PLoS Computational Biology, Journal of The Royal Society Interface and Nuclear Physics A.
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.