Daniel López-Acuña

643 citations
11 papers · 428 · h-index 8

Impact in

Papers in

    • Healthcare Systems and Reforms 4
    • Public Health and Social Inequalities 1

Daniel López-Acuña

11 papers receiving 380 citations

Peers

Daniel López-Acuña
Comparison fields: 5 of 71
  • Clinical Psychology 116
  • General Health Professions 131
  • Modeling and Simulation 22
  • Health 34
  • Emergency Medical Services 23
Replace José Tomás Mateos with:
José Tomás Mateos Spain
Tammam Aloudat Switzerland
Thalia Porteny United States
Nabamallika Dehingia United States
Victoria J. McGowan United Kingdom
Luciano Bezerra Gomes Brazil
Elias Kondilis Greece
Ryan M. McKenna United States
Regional Office for Europe
Slawa Rokicki United States
Daniel López-Acuña relative to José Tomás Mateos Spain José Tomás Mateos's profile →
Citations per field
00.5×1.5×
José Tomás Mateos · 1×
Citations per year

Countries citing papers authored by Daniel López-Acuña

Since Specialization
Citations

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

Fields of papers citing papers by Daniel López-Acuña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020253
2 200039
3 201435
4 200035
5 202219
6 202315
7 198010
8 20219
9
Better health for all in Europe: developing a migrant sensitive health workforce.
20108
10 20003
11 20242

About Daniel López-Acuña

Daniel López-Acuña is a scholar working on Finance, Health, Infectious Diseases, Modeling and Simulation and General Health Professions, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (4 papers), Criminal Justice and Corrections Analysis (2 papers), Healthcare Policy and Management (2 papers), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Public Health and Social Inequalities (1 paper), Chronic Disease Management Strategies (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Clinical Psychology (116 citations), General Health Professions (131 citations), Modeling and Simulation (22 citations), Health (34 citations) and Emergency Medical Services (23 citations). Daniel López-Acuña has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Carina Ferreira‐Borges, Louise Southalan, Stuart A. Kinner, Jesse Tyler Young, Kathryn J. Snow, Éamonn O’Moore, Isabel de la Mata, Paul K. Halverson, Pascal Zurn and Sarah Louise Barber. Their work appears in journals such as Archives of Public Health, Bulletin of the World Health Organization, Journal of Public Health Policy, The Lancet Public Health 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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