Daniel Bravo‐Barriga

35 papers receiving 338 citations

Peers

Daniel Bravo‐Barriga
Comparison fields: 5 of 37
  • Parasitology 85
  • Infectious Diseases 221
  • Public Health, Environmental and Occupational Health 259
  • Ecological Modeling 18
  • Insect Science 48
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Adelheid G. Obwaller Austria
Mandy Kronefeld Germany
Graziana Da Rold Italy
Nohemí Cigarroa-Toledo Mexico
Cora M. Holicki Germany
Moisés Gonzálvez Spain
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Citations per year

Countries citing papers authored by Daniel Bravo‐Barriga

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bravo‐Barriga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Bravo‐Barriga. 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 Daniel Bravo‐Barriga. The network helps show where Daniel Bravo‐Barriga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201636
2 201733
3 202030
4 201629
5 202125
6 201624
7 202221
8 201520
9 202216
10 20199
11 20238
12 20218
13 20247
14 20237
15 20237
16 20216
17 20226
18 20215
19 20245
20 20225

About Daniel Bravo‐Barriga

Daniel Bravo‐Barriga is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Insect Science, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 41 papers that have together received 342 indexed citations. Recurring topics across this work include Viral Infections and Vectors (20 papers), Mosquito-borne diseases and control (18 papers), Vector-borne infectious diseases (7 papers), Insect symbiosis and bacterial influences (6 papers), Research on Leishmaniasis Studies (5 papers), Vector-Borne Animal Diseases (5 papers), Malaria Research and Control (5 papers) and Insect behavior and control techniques (4 papers). The work is most often cited by research in Parasitology (85 citations), Infectious Diseases (221 citations), Public Health, Environmental and Occupational Health (259 citations), Ecological Modeling (18 citations) and Insect Science (48 citations). Daniel Bravo‐Barriga has collaborated with scholars based in Spain, Portugal and Peru. Frequent co-authors include Eva María Frontera Carrión, Juan Enrique Pérez-Martín, David Reina, Ricardo Parreira, Miguel Ángel Jiménez‐Clavero, Pilar Aguilera‐Sepúlveda, Francisco Rubio Llorente, Martina Ferraguti, João Pinto and António Paulo Gouveia de Almeida. Their work appears in journals such as Journal of Medical Entomology, Frontiers in Veterinary Science, Parasitology Research, Veterinary Microbiology and Parasites & Vectors.

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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