Anton Camacho

4.4k citations
34 papers · 1.3k · h-index 19

Impact in

Papers in

Anton Camacho

32 papers receiving 1.2k citations

Peers

Anton Camacho
Comparison fields: 5 of 86
  • Modeling and Simulation 704
  • Infectious Diseases 697
  • Emergency Medical Services 177
  • Health 131
  • Epidemiology 471
Replace G Rodier with:
G Rodier Switzerland
Marc Baguelin United Kingdom
Tini Garske United Kingdom
Ilaria Dorigatti United Kingdom
Cathy Roth Switzerland
Ethan Romero-Severson United States
Lorenzo Pellis United Kingdom
Aronrag Meeyai Thailand
Corien Swaan Netherlands
Éric D’Ortenzio France
Anton Camacho relative to G Rodier Switzerland G Rodier's profile →
Citations per field
00.5×3.0×
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Citations per year

Countries citing papers authored by Anton Camacho

Since Specialization
Citations

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

Fields of papers citing papers by Anton Camacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013213
2 201493
3 201582
4 201677
5 201574
6 201573
7 201566
8 201659
9 201757
10 201955
11 201554
12 201845
13 201142
14 201439
15 201731
16 202025
17 201824
18 201718
19 201618
20 201517

About Anton Camacho

Anton Camacho is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Emergency Medical Services and Agronomy and Crop Science, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (21 papers), COVID-19 epidemiological studies (21 papers), Influenza Virus Research Studies (10 papers), Disaster Response and Management (10 papers), Viral Infections and Vectors (5 papers), Respiratory viral infections research (4 papers), Animal Disease Management and Epidemiology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Modeling and Simulation (704 citations), Infectious Diseases (697 citations), Emergency Medical Services (177 citations), Health (131 citations) and Epidemiology (471 citations). Anton Camacho has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include W. John Edmunds, Sebastian Funk, Adam J. Kucharski, Stefan Flasche, Marc Baguelin, Rosalind M. Eggo, Elizabeth Miller, Nikolaos Demiris, W. John Edmunds and Peter Piot. Their work appears in journals such as Epidemics, Proceedings of the National Academy of Sciences, PLoS Currents, BMJ Open and Emerging 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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