Daniel Martínez-Bello

37 papers receiving 515 citations

Peers

Daniel Martínez-Bello
Comparison fields: 5 of 108
  • Modeling and Simulation 73
  • Parasitology 57
  • Radiological and Ultrasound Technology 40
  • Agronomy and Crop Science 61
  • Public Health, Environmental and Occupational Health 143
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Mauricio Espinel Ecuador
Sean G. Young United States
Floor Borlée Netherlands
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Sarah J. Bates United States
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Citations per year

Countries citing papers authored by Daniel Martínez-Bello

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martínez-Bello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Martínez-Bello. 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 Martínez-Bello. The network helps show where Daniel Martínez-Bello may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 201740
3 201138
4 201137
5 201135
6 201031
7 201429
8 201726
9 201725
10 201021
11 201816
12 201513
13 201513
14 201813
15 202212
16 202312
17 201711
18 201211
19 201411
20 20209

About Daniel Martínez-Bello

Daniel Martínez-Bello is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation, Agronomy and Crop Science and Genetics, having authored 40 papers that have together received 524 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Data-Driven Disease Surveillance (5 papers), Mosquito-borne diseases and control (5 papers), Children's Physical and Motor Development (4 papers), Reproductive Physiology in Livestock (4 papers), Obesity, Physical Activity, Diet (3 papers), Vector-Borne Animal Diseases (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Modeling and Simulation (73 citations), Parasitology (57 citations), Radiological and Ultrasound Technology (40 citations), Agronomy and Crop Science (61 citations) and Public Health, Environmental and Occupational Health (143 citations). Daniel Martínez-Bello has collaborated with scholars based in Colombia, Spain and Belgium. Frequent co-authors include Antonio López‐Quílez, Vladimir E. Martínez-Bello, Ann Cuypers, Nathalie Vanhoudt, Nele Horemans, May Van Hees, Jaco Vangronsveld, Jean Wannijn, Hildegarde Vandenhove and F. López‐Gatius. Their work appears in journals such as Theriogenology, Early Childhood Education Journal, Journal of Environmental Radioactivity, Medicine & Science in Sports & Exercise and BioMed Research International.

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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