Daniel Cobos Muñoz

1.2k citations
39 papers · 602 · h-index 12

Impact in

Papers in

Daniel Cobos Muñoz

33 papers receiving 585 citations

Peers

Daniel Cobos Muñoz
Comparison fields: 5 of 100
  • Health 125
  • Pediatrics, Perinatology and Child Health 107
  • Modeling and Simulation 22
  • Finance 50
  • Medical Terminology 1
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Walter Flores United States
Ernesto Báscolo United States
Daniel Maceira Argentina
Gemma Williams United Kingdom
Yadlapalli S. Kusuma India
Eric Sarriot United States
Benson Droti Republic of the Congo
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Cobos Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cobos Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cobos Muñoz. 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 Cobos Muñoz. The network helps show where Daniel Cobos Muñoz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 201685
3 202364
4 201757
5 202334
6 201829
7 201828
8 202025
9 202222
10 202020
11 202217
12 202012
13 202111
14 202010
15 20229
16 20217
17 20226
18 20225
19 20225
20 20215

About Daniel Cobos Muñoz

Daniel Cobos Muñoz is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Health, Epidemiology and Economics and Econometrics, having authored 39 papers that have together received 602 indexed citations. Recurring topics across this work include Global Maternal and Child Health (10 papers), Health Policy Implementation Science (4 papers), COVID-19 epidemiological studies (3 papers), Primary Care and Health Outcomes (2 papers), Mobile Health and mHealth Applications (2 papers), Blood Pressure and Hypertension Studies (2 papers), Climate Change and Health Impacts (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Health (125 citations), Pediatrics, Perinatology and Child Health (107 citations), Modeling and Simulation (22 citations), Finance (50 citations) and Medical Terminology (1 citation). Daniel Cobos Muñoz has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Xavier Bosch‐Capblanch, Don de Savigny, Paloma Merino Amador, David Martínez Hernández, Carla AbouZahr, Alan D López, Edwine Barasa, Mickey Chopra, Stephen Thomas and Rifat Atun. Their work appears in journals such as International Journal of Public Health, BMJ Global Health, BMC Health Services Research, Global Health Action and Public health reviews.

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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