Toby Phillips

5.2k total citations · 1 hit paper
10 papers, 3.0k citations indexed

About

Toby Phillips is a scholar working on Economics and Econometrics, Modeling and Simulation and Health. According to data from OpenAlex, Toby Phillips has authored 10 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 5 papers in Modeling and Simulation and 3 papers in Health. Recurrent topics in Toby Phillips's work include COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (5 papers) and COVID-19 and Mental Health (3 papers). Toby Phillips is often cited by papers focused on COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (5 papers) and COVID-19 and Mental Health (3 papers). Toby Phillips collaborates with scholars based in United Kingdom, Brazil and United States. Toby Phillips's co-authors include Anna Petherick, Thomas Hale, Noam Angrist, Beatriz Kira, Rafael Goldszmidt, Emily Cameron-Blake, Yuxi Zhang, Katy Jordan, Devi Sridhar and Andrew J. Hale and has published in prestigious journals such as PLoS ONE, JAMA Network Open and Information Communication & Society.

In The Last Decade

Toby Phillips

10 papers receiving 2.9k citations

Hit Papers

A global panel database of pandemic policies (Oxford COVI... 2021 2026 2022 2024 2021 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toby Phillips United Kingdom 7 1.1k 987 607 494 444 10 3.0k
Beatriz Kira United Kingdom 5 1.0k 1.0× 975 1.0× 581 1.0× 546 1.1× 415 0.9× 25 3.0k
Noam Angrist United States 15 1.1k 1.0× 1.1k 1.1× 665 1.1× 646 1.3× 416 0.9× 35 3.5k
Emily Cameron-Blake Canada 6 984 0.9× 932 0.9× 566 0.9× 470 1.0× 416 0.9× 8 3.0k
Rafael Goldszmidt Brazil 12 1.1k 1.1× 1.1k 1.1× 782 1.3× 619 1.3× 505 1.1× 35 3.5k
Anna Petherick United Kingdom 17 1.3k 1.2× 1.1k 1.1× 827 1.4× 602 1.2× 559 1.3× 68 4.0k
Jessica T. Davis United States 10 1.8k 1.7× 968 1.0× 388 0.6× 532 1.1× 194 0.4× 19 3.4k
Alexandra L. J. Freeman United Kingdom 19 473 0.4× 531 0.5× 695 1.1× 1.8k 3.6× 902 2.0× 44 3.6k
Ruoran Li China 11 1.5k 1.4× 732 0.7× 285 0.5× 227 0.5× 171 0.4× 28 2.5k
Maria Litvinova United States 12 3.0k 2.8× 1.2k 1.2× 518 0.9× 449 0.9× 266 0.6× 20 4.3k
Sean Sylvia United States 24 366 0.3× 460 0.5× 559 0.9× 419 0.8× 156 0.4× 106 3.3k

Countries citing papers authored by Toby Phillips

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Toby Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Phillips. A scholar is included among the top collaborators of Toby Phillips 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 Toby Phillips. Toby Phillips is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cameron-Blake, Emily, et al.. (2023). A panel dataset of COVID-19 vaccination policies in 185 countries. Nature Human Behaviour. 7(8). 1402–1413. 29 indexed citations
2.
Gucciardi, Daniel F., Nikos Ntoumanis, Michael T. Chapman, et al.. (2022). Enhancing functional recovery for young people recovering from first episode psychosis via sport-based life skills training: outcomes of a feasibility and pilot study. Health Psychology and Behavioral Medicine. 10(1). 1136–1158. 4 indexed citations
3.
Phillips, Toby, et al.. (2022). The gender digital gap: shifting the theoretical focus to systems analysis and feedback loops. Information Communication & Society. 26(10). 2071–2087. 12 indexed citations
4.
Hale, Thomas, Noam Angrist, Andrew J. Hale, et al.. (2021). Government responses and COVID-19 deaths: Global evidence across multiple pandemic waves. PLoS ONE. 16(7). e0253116–e0253116. 108 indexed citations
5.
Hale, Thomas, Noam Angrist, Rafael Goldszmidt, et al.. (2021). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour. 5(4). 529–538. 2737 indexed citations breakdown →
6.
Phillips, Toby, Yuxi Zhang, & Anna Petherick. (2021). A year of living distantly: global trends in the use of stay-at-home orders over the first 12 months of the COVID-19 pandemic. Interface Focus. 11(6). 20210041–20210041. 17 indexed citations
7.
Phillips, Toby, Yuxi Zhang, & Anna Petherick. (2021). A Year of Living Distantly: Trends in the Use of Stay-at-Home Orders Over the First 12 Months of the COVID-19 Pandemic. SSRN Electronic Journal. 2 indexed citations
8.
Goldszmidt, Rafael, Anna Petherick, Eduardo B. Andrade, et al.. (2021). Protective Behaviors Against COVID-19 by Individual Vaccination Status in 12 Countries During the Pandemic. JAMA Network Open. 4(10). e2131137–e2131137. 18 indexed citations
9.
Jordan, Katy, et al.. (2021). Education during the COVID-19: crisis Opportunities and constraints of using EdTech in low-income countries. Revista de Educación a Distancia (RED). 21(65). 56 indexed citations

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.

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