Adam W. Crawley

29 papers receiving 502 citations

Peers

Adam W. Crawley
Comparison fields: 5 of 87
  • Epidemiology 288
  • Modeling and Simulation 176
  • Infectious Diseases 140
  • Public Health, Environmental and Occupational Health 126
  • General Health Professions 77
Replace Jennifer M. Olsen with:
Jennifer M. Olsen United States
Tsung-Shu Joseph Wu Taiwan
Marc Paladini United States
Adam Craig Australia
Massimo Ciotti Sweden
Lindsay T. Keegan United States
Caroline van Gemert Australia
Samuel Stebbins United States
Philippe Barboza France
Esther Hamblion Republic of the Congo
Adam W. Crawley relative to Jennifer M. Olsen United States Jennifer M. Olsen's profile →
Citations per field
00.5×1.5×
Jennifer M. Olsen · 1×
Citations per year

Countries citing papers authored by Adam W. Crawley

Since Specialization
Citations

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

Fields of papers citing papers by Adam W. Crawley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam W. Crawley. 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 Adam W. Crawley. The network helps show where Adam W. Crawley may publish in the future.

Co-authorship network of co-authors of Adam W. Crawley

This figure shows the co-authorship network connecting the top 25 collaborators of Adam W. Crawley. A scholar is included among the top collaborators of Adam W. Crawley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam W. Crawley. Adam W. Crawley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 2
4 12
5 5
6 2
7 14
8 36
9 29
10 3
11 42
12 27
13 67
14 4
15 34
16 3
17
Flu Near You: Comparing Crowdsourced Reports of Influenza-like Illness to the CDC Outpatient Influenza-like Illness Surveillance Network, October 2012 to March 2014
3
18 6
19 13
20 8

About Adam W. Crawley

Adam W. Crawley is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 31 papers that have together received 521 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (19 papers), Influenza Virus Research Studies (11 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Epidemiology (288 citations) and Infectious Diseases (140 citations). Adam W. Crawley has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Mark S. Smolinski, Jennifer M. Olsen, John S. Brownstein, Kristin Baltrusaitis, Mauricio Santillana, Rumi Chunara, André T. Nguyen, Oktawia Wójcik, Marlo Libel and Tomás Aragón. Their work appears in journals such as PLoS ONE, American Journal of Public Health and The Journal of Infectious Diseases.

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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