Patrick Keating

19 papers receiving 462 citations

Peers

Patrick Keating
Comparison fields: 5 of 85
  • Modeling and Simulation 74
  • General Health Professions 183
  • Infectious Diseases 111
  • Epidemiology 186
  • Pediatrics, Perinatology and Child Health 97
Replace Daisuke Nonaka with:
Daisuke Nonaka Japan
M. Mamun Huda Bangladesh
John S. Atkinson United States
Firdevs Aktaş Türkiye
Tsung-Shu Joseph Wu Taiwan
Amber Hsiao United States
Helen Perry United States
Angus Thomson France
Mark Donald C. Reñosa Philippines
Eniola Cadmus Nigeria
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Citations per field
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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 2015107
2 2019105
3 201596
4 201657
5 202032
6 201923
7 202111
8 202010
9 20089
10 20156
11 20215
12 20233
13 20173
14 20192
15 20241
16 20241
17 20251
18 20251
19 20211
20 20240

About Patrick Keating

Patrick Keating is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 21 papers that have together received 474 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (8 papers), COVID-19 epidemiological studies (4 papers), Child Nutrition and Water Access (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Data-Driven Disease Surveillance (3 papers), Prenatal Substance Exposure Effects (2 papers), HIV/AIDS Research and Interventions (2 papers) and HIV/AIDS Impact and Responses (2 papers). The work is most often cited by research in Modeling and Simulation (74 citations), General Health Professions (183 citations), Infectious Diseases (111 citations), Epidemiology (186 citations) and Pediatrics, Perinatology and Child Health (97 citations). Patrick Keating has collaborated with scholars based in United Kingdom, Netherlands and Switzerland. Frequent co-authors include Lambert Felix, Jim McCambridge, Ingeborg Rossow, Caroline Free, Olivier le Polain de Waroux, Ruwan Ratnayake, Jonathan A. Polonsky, Rosalind M. Eggo, Thibaut Jombart and Amrish Baidjoe. Their work appears in journals such as BMC Public Health, BMJ Global Health, BMC Health Services Research, PLoS ONE 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.

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