RAYMOND E. BAILEY

12 papers receiving 464 citations

Peers

RAYMOND E. BAILEY
Comparison fields: 5 of 70
  • Parasitology 122
  • Infectious Diseases 301
  • Modeling and Simulation 51
  • Public Health, Environmental and Occupational Health 275
  • Epidemiology 114
Replace Tove Hoffman with:
Tove Hoffman Sweden
Medhat A. Darwish Egypt
Roberto Cagarelli Italy
Jean-Paul Grangeon France
C Hannoun France
Laura B. Goddard United States
Donald B. Nelson United States
Vincent Pierre France
Brechla Moreno Panama
D. Metselâar United States
RAYMOND E. BAILEY relative to Tove Hoffman Sweden Tove Hoffman's profile →
Citations per field
00.5×2×3×4×4.9×
Tove Hoffman · 1×
Citations per year

Countries citing papers authored by RAYMOND E. BAILEY

Since Specialization
Citations

This map shows the geographic impact of RAYMOND 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 RAYMOND 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 RAYMOND E. BAILEY more than expected).

Fields of papers citing papers by RAYMOND E. BAILEY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1996107
2 198590
3 197074
4 199062
5 197047
6 199435
7 199330
8 198826
9 198523
10 198414
11 198711
12 19865

About RAYMOND E. BAILEY

RAYMOND E. BAILEY is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Epidemiology and Modeling and Simulation, having authored 12 papers that have together received 524 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), Ocular Diseases and Behçet’s Syndrome (1 paper), Fungal Infections and Studies (1 paper), COVID-19 epidemiological studies (1 paper) and earthquake and tectonic studies (1 paper). The work is most often cited by research in Parasitology (122 citations), Infectious Diseases (301 citations), Modeling and Simulation (51 citations), Public Health, Environmental and Occupational Health (275 citations) and Epidemiology (114 citations). RAYMOND E. BAILEY has collaborated with scholars based in United States, Pakistan and Tanzania. Frequent co-authors include Goro Kuno, Stephen H. Waterman, Larry Eugene Davis, Gladys E. Sather, Robert John Novak, Glyn G. Caldwell, Tom D. Y. Chin, Duane J. Gubler, Robert E. Lynch and Biwei Cao. Their work appears in journals such as American Journal of Epidemiology, American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, New England Journal of Medicine and Memórias do Instituto Oswaldo Cruz.

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.

Explore authors with similar magnitude of impact