Phillip C. Cooley

14 papers receiving 647 citations

Peers

Phillip C. Cooley
Comparison fields: 5 of 103
  • Modeling and Simulation 112
  • Health 52
  • General Health Professions 125
  • Infectious Diseases 86
  • Epidemiology 145
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Countries citing papers authored by Phillip C. Cooley

Since Specialization
Citations

This map shows the geographic impact of Phillip C. 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 C. 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 C. Cooley more than expected).

Fields of papers citing papers by Phillip C. Cooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002370
2 2013163
3 201035
4 200826
5
Telephone Audio Computer-Assisted Self-Interviewing (T-ACASI) and Survey Measurements of Sensitive Behaviors: Preliminary Results
199620
6 201220
7 198116
8 200915
9 20137
10 20085
11
Sample design and demographic characteristics of respondents in the 1999– 2000 national STD and behavior measurement experiment
20054
12
Untreated gonococcal and chlamydial infection in a probability sample of Baltimore adults
20022
13
Continuation of Vaccination Deep into a Pandemic Wave: Potential Mechanisms for a "Third Wave" and the Impact of Vaccination
20102
14
The Differential Effects of Face-to-Face and Computer Interview Modes: Social Desirability Response Bias vs. Impersonality Response Bias
20021
15
Telephone Audio Computer-Assisted Self-Interviewing (T-ACASI) and Survey Measurements of Sensitive Behaviors: Preliminary Results - Technical Paper 21
19951

About Phillip C. Cooley

Phillip C. Cooley is a scholar working on Spectroscopy, Modeling and Simulation, Microbiology, Health and Genetics, having authored 15 papers that have together received 687 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (2 papers), Vaccine Coverage and Hesitancy (1 paper), COVID-19 epidemiological studies (1 paper), Advanced Proteomics Techniques and Applications (1 paper), demographic modeling and climate adaptation (1 paper), Bioinformatics and Genomic Networks (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Modeling and Simulation (112 citations), Health (52 citations), General Health Professions (125 citations), Infectious Diseases (86 citations) and Epidemiology (145 citations). Phillip C. Cooley has collaborated with scholars based in United States. Frequent co-authors include JESSICA CLARK NEWMAN, Don C. Des Jarlais, Charles F. Turner, Denise Paone, Donald S. Burke, Shawn T. Brown, John J. Grefenstette, William D. Wheaton, Alona Fyshe and David D. Galloway. Their work appears in journals such as BMC Public Health, American Journal of Public Health, Molecular & Cellular Proteomics, Analytical Chemistry and International Journal of Epidemiology.

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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