Patrick Keating

845 citations
21 papers · 514 · h-index 9

Impact in

Papers in

Patrick Keating

20 papers receiving 501 citations

Peers

Patrick Keating
Comparison fields: 5 of 82
  • Modeling and Simulation 56
  • Epidemiology 161
  • Infectious Diseases 81
  • General Health Professions 95
  • Small Animals 29
Replace Karen L. Peterson with:
Karen L. Peterson United States
Firdevs Aktaş Türkiye
Peiling Yap Switzerland
Jennifer M. Olsen United States
Daisuke Nonaka Japan
Tsung-Shu Joseph Wu Taiwan
M. Mamun Huda Bangladesh
Angus Thomson France
Ndadilnasiya Waziri Nigeria
Patrick Habecker United States
Patrick Keating relative to Karen L. Peterson United States Karen L. Peterson's profile →
Citations per field
00.5×4.8×
Karen L. Peterson · 1×
Citations per year

Countries citing papers authored by Patrick Keating

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Keating, 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 Patrick Keating Line = papers co-authored together Patrick Keating links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 2015112
3 2015101
4 201659
5 202036
6 201926
7 202111
8 200811
9 202011
10 20218
11 20156
12 20236
13 20173
14 20252
15 20252
16 20242
17 20192
18 20241
19 20241
20 20211

About Patrick Keating

Patrick Keating is a scholar working on Infectious Diseases, General Health Professions, Clinical Psychology, Epidemiology and Economics and Econometrics, having authored 21 papers that have together received 514 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), COVID-19 epidemiological studies (2 papers), Health Policy Implementation Science (1 paper), Blood donation and transfusion practices (1 paper), Health and Conflict Studies (1 paper), Data-Driven Disease Surveillance (1 paper), Resilience and Mental Health (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Modeling and Simulation (56 citations), Epidemiology (161 citations), Infectious Diseases (81 citations), General Health Professions (95 citations) and Small Animals (29 citations). Patrick Keating has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Jim McCambridge, Lambert Felix, Ingeborg Rossow, Caroline Free, Jonathan A. Polonsky, Ruwan Ratnayake, Olivier le Polain de Waroux, Michael Marks, Chrissy h. Roberts and Zhian N. Kamvar. Their work appears in journals such as BMC Public Health, BMC Health Services Research, PLoS ONE, BMJ Global Health and Frontiers in Veterinary Science.

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