Daniel Cobos Muñoz

1.2k citations
37 papers · 536 · h-index 12

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Health disparities and outcomes
  • Finance top 10%
    • Healthcare Systems and Reforms

Papers in

Daniel Cobos Muñoz

32 papers receiving 522 citations

Peers

Daniel Cobos Muñoz
Comparison fields: 5 of 102
  • Health 165
  • Finance 84
  • Pediatrics, Perinatology and Child Health 156
  • Modeling and Simulation 34
  • General Health Professions 142
Replace Ankita Meghani with:
Ankita Meghani United States
Obinna Ositadimma Oleribe United Kingdom
Benson Droti Republic of the Congo
Trygve Ottersen Norway
Gemma Williams United Kingdom
Anam Shahil Feroz Pakistan
Thomas J. Bollyky United States
Joseph Mfutso‐Bengo Malawi
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Arush Lal United Kingdom
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 201680
3 201753
4 202348
5 201828
6 202327
7 201826
8 202021
9 202221
10 202018
11 202213
12 202011
13 20219
14 20228
15 20208
16 20226
17 20216
18 20225
19 20155
20 20215

About Daniel Cobos Muñoz

Daniel Cobos Muñoz is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Economics and Econometrics, Health and Finance, having authored 37 papers that have together received 536 indexed citations. Recurring topics across this work include Global Maternal and Child Health (11 papers), Healthcare Systems and Reforms (7 papers), Global Public Health Policies and Epidemiology (5 papers), Health Policy Implementation Science (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Community Health and Development (4 papers), COVID-19 epidemiological studies (4 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Health (165 citations), Finance (84 citations), Pediatrics, Perinatology and Child Health (156 citations), Modeling and Simulation (34 citations) and General Health Professions (142 citations). 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, Mickey Chopra, Alastair Ager, Stephen Thomas and Karl Blanchet. Their work appears in journals such as International Journal of Public Health, BMJ Global Health, BMC Health Services Research, Global Health Action and BMC Medicine.

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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