Ben Adams

1.6k citations
32 papers · 1.0k · h-index 16

Impact in

Papers in

Ben Adams

28 papers receiving 996 citations

Peers

Ben Adams
Comparison fields: 5 of 104
  • Modeling and Simulation 275
  • Public Health, Environmental and Occupational Health 563
  • Infectious Diseases 330
  • Statistical and Nonlinear Physics 100
  • Parasitology 40
Replace Lorenzo Pellis with:
Lorenzo Pellis United Kingdom
Calistus N. Ngonghala United States
Juan Pablo Aparicio Argentina
Helen J. Wearing United States
Nicolas Bacaër France
Sara Y. Del Valle United States
Folashade B. Agusto United States
Anuj Mubayi United States
Luis Fernández López Brazil
Joan L. Aron United States
Ben Adams relative to Lorenzo Pellis United Kingdom Lorenzo Pellis's profile →
Citations per field
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Lorenzo Pellis · 1×
Citations per year

Countries citing papers authored by Ben Adams

Since Specialization
Citations

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

Fields of papers citing papers by Ben Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006195
2 2009133
3 2010122
4 200896
5 200489
6 200970
7 200639
8 201033
9 200328
10 200724
11 200922
12 201620
13 201519
14 200917
15 200716
16 200315
17 201714
18 202310
19 20149
20 20109

About Ben Adams

Ben Adams is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Genetics and Clinical Psychology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers), Evolution and Genetic Dynamics (4 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Outbreaks Research (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Modeling and Simulation (275 citations), Public Health, Environmental and Occupational Health (563 citations), Infectious Diseases (330 citations), Statistical and Nonlinear Physics (100 citations) and Parasitology (40 citations). Ben Adams has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Michael Boots, Durrell D. Kapan, Alice C. McHardy, Timothy M. Lenton, Andrew White, M. P. Mammen, Mike Boots, Akira Sasaki, Suchitra Nimmannitya and Siripen Kalayanarooj. Their work appears in journals such as Journal of Theoretical Biology, PLoS ONE, Bulletin of Mathematical Biology, Proceedings of the Royal Society B Biological Sciences and Ecological Modelling.

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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