Phillip Cooley

15 papers receiving 728 citations

Peers

Phillip Cooley
Comparison fields: 5 of 103
  • Modeling and Simulation 111
  • Health 62
  • General Health Professions 160
  • Infectious Diseases 97
  • Epidemiology 157
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Countries citing papers authored by Phillip Cooley

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Cooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002374
2 2013162
3
Automated Self-interviewing and the Survey Measurement of Sensitive Behaviors
199887
4 201031
5 200824
6 201223
7
Telephone Audio Computer-Assisted Self-Interviewing (T-ACASI) and Survey Measurements of Sensitive Behaviors: Preliminary Results
199619
8 198116
9 200915
10 20138
11 20086
12
Sample design and demographic characteristics of respondents in the 1999– 2000 national STD and behavior measurement experiment
20054
13
Continuation of Vaccination Deep into a Pandemic Wave: Potential Mechanisms for a "Third Wave" and the Impact of Vaccination
20102
14
Untreated gonococcal and chlamydial infection in a probability sample of Baltimore adults
20022
15
The Differential Effects of Face-to-Face and Computer Interview Modes: Social Desirability Response Bias vs. Impersonality Response Bias
20021
16
Telephone Audio Computer-Assisted Self-Interviewing (T-ACASI) and Survey Measurements of Sensitive Behaviors: Preliminary Results - Technical Paper 21
19951
17
A Nationwide geo-referenced synthesized agent database for infectious disease models
20070

About Phillip Cooley

Phillip Cooley is a scholar working on Sociology and Political Science, Epidemiology, Genetics, Spectroscopy and Infectious Diseases, having authored 17 papers that have together received 775 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Vaccine Coverage and Hesitancy (1 paper), demographic modeling and climate adaptation (1 paper), Data-Driven Disease Surveillance (1 paper), COVID-19 epidemiological studies (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Modeling and Simulation (111 citations), Health (62 citations), General Health Professions (160 citations), Infectious Diseases (97 citations) and Epidemiology (157 citations). Phillip Cooley has collaborated with scholars based in United States. Frequent co-authors include Denise Paone, Don C. Des Jarlais, Charles F. Turner, JESSICA CLARK NEWMAN, Susan Rogers, Heather Miller, C. W. Turner, Donald S. Burke, Shawn T. Brown and John J. Grefenstette. Their work appears in journals such as BMC Public Health, Molecular & Cellular Proteomics, Analytical Chemistry, Sexually Transmitted Diseases and American Journal of Preventive Medicine.

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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