Jeffrey Freeman

26 papers receiving 598 citations

Peers

Jeffrey Freeman
Comparison fields: 5 of 142
  • Health 80
  • Health Informatics 10
  • Speech and Hearing 47
  • Clinical Psychology 116
  • General Health Professions 136
Replace David Wright with:
David Wright United Kingdom
Nicolás E. Barceló United States
Jennifer Downing United Kingdom
Maryam Marzban Iran
Thamir Al-khlaiwi Saudi Arabia
Yuka Akiyama Japan
Michael S. Sinha United States
Mark D. Fox United States
Ellen Stephenson Canada
Joseph Lopreiato United States
Jeffrey Freeman relative to David Wright United Kingdom David Wright's profile →
Citations per field
00.5×3.0×
David Wright · 1×
Citations per year

Countries citing papers authored by Jeffrey Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffrey Freeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey Freeman Line = papers co-authored together Jeffrey Freeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2017132
3 201655
4 201654
5 201630
6 201828
7 198925
8 202123
9 202020
10 202118
11 201017
12 201815
13 20228
14 20037
15 20197
16 20036
17 20215
18 20223
19 20033
20 20242

About Jeffrey Freeman

Jeffrey Freeman is a scholar working on General Health Professions, Infectious Diseases, Epidemiology, Modeling and Simulation and Sociology and Political Science, having authored 28 papers that have together received 629 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Data-Driven Disease Surveillance (4 papers), Disaster Response and Management (3 papers), Disaster Management and Resilience (3 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 diagnosis using AI (2 papers), Pediatric Pain Management Techniques (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health (80 citations), Health Informatics (10 citations), Speech and Hearing (47 citations), Clinical Psychology (116 citations) and General Health Professions (136 citations). Jeffrey Freeman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeremy Ratcliff, Lori Rosman, Paul T. Strickland, David R. Graham, Ellen K. Silbergeld, Jørn Hetland, Torbjørn Torsheim, Ulrike Ravens‐Sieberer, Michael Erhart and Hannah Tappis. Their work appears in journals such as Canadian Journal of Emergency Medicine, Pain Research and Management, Health Security, PLoS ONE and PLoS Currents.

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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