Toby Phillips
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 4
- Health 2
- Vaccine Coverage and Hesitancy 2
- Co-authors
- Anna Petherick (5 shared papers)Thomas N. Hale (4 shared papers)Noam Angrist (2 shared papers)Beatriz Kira (2 shared papers)Emily Cameron-Blake (2 shared papers)Rafael Burstein Goldszmidt (2 shared papers)Yuxi Zhang (2 shared papers)Katy Jordan (1 shared paper)
- Journals
- Nature Human Behaviour (2 papers)Interface Focus (1 paper)JAMA Network Open (1 paper)PLoS ONE (1 paper)Information Communication & Society (1 paper)
- Partner nations
- United KingdomBrazilUnited States
In The Last Decade
Toby Phillips
8 papers receiving 3.2k citations
Toby Phillips's Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 879
- Health 179
- Clinical Psychology 414
- Transportation 94
- Economics and Econometrics 402
Countries citing papers authored by Toby Phillips
This map shows the geographic impact of Toby Phillips'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 Toby Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Phillips more than expected).
Fields of papers citing papers by Toby Phillips
This network shows the impact of papers produced by Toby Phillips. 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 Toby Phillips. The network helps show where Toby Phillips may publish in the future.
Co-authors
The 15 scholars most cited alongside Toby Phillips, 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 | A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker) Hit paper breakdown → | 2021 | 3041 |
| 2 | 2021 | 121 | |
| 3 | 2021 | 61 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 20 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 3 |
About Toby Phillips
Toby Phillips is a scholar working on Modeling and Simulation, Health, Information Systems, Computer Science Applications and Media Technology, having authored 8 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (2 papers), ICT in Developing Communities (1 paper), Global Educational Policies and Reforms (1 paper), Digital Education and Society (1 paper), Gender and Technology in Education (1 paper), Educational Innovations and Technology (1 paper) and Education during COVID-19 pandemic (1 paper). The work is most often cited by research in Modeling and Simulation (879 citations), Health (179 citations), Clinical Psychology (414 citations), Transportation (94 citations) and Economics and Econometrics (402 citations). Toby Phillips has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Anna Petherick, Thomas N. Hale, Noam Angrist, Beatriz Kira, Emily Cameron-Blake, Rafael Burstein Goldszmidt, Yuxi Zhang, Katy Jordan, Devi Sridhar and Robin N. Thompson. Their work appears in journals such as Nature Human Behaviour, Interface Focus, JAMA Network Open, PLoS ONE and Information Communication & Society.
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.