R. E. Bailey

624 citations
12 papers · 480 indexed · h-index 11

Impact in

Papers in

R. E. Bailey

12 papers receiving 443 citations

Peers

R. E. Bailey
Comparison fields: 5 of 75
  • Infectious Diseases 329
  • Parasitology 113
  • Modeling and Simulation 69
  • Public Health, Environmental and Occupational Health 273
  • Epidemiology 115
Replace Tove Hoffman with:
Tove Hoffman Sweden
Roberto Cagarelli Italy
Cynthia Jean United States
Jean-Paul Grangeon New Caledonia
Quan Qian China
C Hannoun France
Marco Aurélio Pereira Horta Brazil
Jenna R. Gettings United States
Khoa T. D. Thai Netherlands
Lele Ai China
R. E. Bailey relative to Tove Hoffman Sweden Tove Hoffman's profile →
Citations per field
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Tove Hoffman · 1×
Citations per year

Countries citing papers authored by R. E. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. E. Bailey. 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 R. E. Bailey. The network helps show where R. E. Bailey may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 199697
2 198588
3 199063
4 197062
5 197041
6 199435
7 199324
8 198823
9 198519
10 198413
11 198711
12 19864

About R. E. Bailey

R. E. Bailey is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Artificial Intelligence and Parasitology, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Mosquito-borne diseases and control (6 papers), Malaria Research and Control (3 papers), Vector-borne infectious diseases (2 papers), Seismology and Earthquake Studies (1 paper), Respiratory viral infections research (1 paper), Animal Disease Management and Epidemiology (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (329 citations), Parasitology (113 citations), Modeling and Simulation (69 citations), Public Health, Environmental and Occupational Health (273 citations) and Epidemiology (115 citations). R. E. Bailey has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Goro Kuno, Stephen H. Waterman, Duane J. Gubler, Robert J. Novak, Gladys E. Sather, Kenneth E. Robbins, Biwei Cao, Robert E. Lynch, Leonard W. Mayer and Barbara J. B. Johnson. Their work appears in journals such as American Journal of Epidemiology, The Journal of Infectious Diseases, American Journal of Tropical Medicine and Hygiene, Memórias do Instituto Oswaldo Cruz and New England Journal of 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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