Jeff Powis

725 total citations
3 papers, 27 citations indexed

About

Jeff Powis is a scholar working on Infectious Diseases, Oncology and Modeling and Simulation. According to data from OpenAlex, Jeff Powis has authored 3 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Oncology and 2 papers in Modeling and Simulation. Recurrent topics in Jeff Powis's work include COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 and healthcare impacts (2 papers). Jeff Powis is often cited by papers focused on COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 and healthcare impacts (2 papers). Jeff Powis collaborates with scholars based in Canada, United Kingdom and United States. Jeff Powis's co-authors include Susy Hota, Victoria Williams, Kevin Katz, Michelle Science, Jerome A. Leis, Helen Groves, Jennie Johnstone, A Vaisman, Valerie Leung and Christopher Kandel and has published in prestigious journals such as PLoS ONE, Canadian Medical Association Journal and Infection Control and Hospital Epidemiology.

In The Last Decade

Jeff Powis

2 papers receiving 27 citations

Peers

Jeff Powis
Claire Mackintosh United Kingdom
Callum Mutch United Kingdom
Roxane Dumont Switzerland
Favas Thaivalappil United Kingdom
Sara Fairbairn United Kingdom
Harriet Webster United Kingdom
Nimish R. Valvi United States
Claire Mackintosh United Kingdom
Jeff Powis
Citations per year, relative to Jeff Powis Jeff Powis (= 1×) peers Claire Mackintosh

Countries citing papers authored by Jeff Powis

Since Specialization
Citations

This map shows the geographic impact of Jeff Powis'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 Jeff Powis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Powis more than expected).

Fields of papers citing papers by Jeff Powis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Powis. 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 Jeff Powis. The network helps show where Jeff Powis may publish in the future.

Co-authorship network of co-authors of Jeff Powis

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

All Works

3 of 3 papers shown
1.
Williams, Victoria, Kevin L. Schwartz, Kevin A. Brown, et al.. (2025). Risk mitigation of shared room ventilation and filtration on SARS-CoV-2 transmission: a multicenter test-negative study. Infection Control and Hospital Epidemiology. 46(10). 1013–1019.
3.
Katz, Kevin, Jeff Powis, Victoria Williams, et al.. (2020). What can early Canadian experience screening for COVID-19 teach us about how to prepare for a pandemic?. Canadian Medical Association Journal. 192(12). E314–E318. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026