Eva Padrosa

419 citations
14 papers · 172 · h-index 6

Impact in

  • Demography top 5%
    • Retirement, Disability, and Employment
    • Employment and Welfare Studies
    • Workplace Health and Well-being
    • Global Health Care Issues

Papers in

Eva Padrosa

13 papers receiving 170 citations

Peers

Eva Padrosa
Comparison fields: 5 of 34
  • Demography 90
  • General Health Professions 159
  • Health 42
  • Radiological and Ultrasound Technology 7
  • Public Administration 3
Replace Mathilde Godard with:
Mathilde Godard France
Angela Rauch Germany
Ranu Sewdas Netherlands
Jacques Wels United Kingdom
Fanny A. Kluge Germany
Tony Warnes United Kingdom
Anette Fagertun Norway
Geoffrey T. Sanzenbacher United States
Didier Breton France
Jurgen Grotz United Kingdom
Eva Padrosa relative to Mathilde Godard France Mathilde Godard's profile →
Citations per field
00.5×2.7×
Mathilde Godard · 1×
Citations per year

Countries citing papers authored by Eva Padrosa

Since Specialization
Citations

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

Fields of papers citing papers by Eva Padrosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Padrosa. 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 Eva Padrosa. The network helps show where Eva Padrosa may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202144
2 202231
3 202025
4 202025
5 202121
6 202114
7 20233
8 20233
9 20242
10 20251
11 20221
12 20221
13 20201
14 20240

About Eva Padrosa

Eva Padrosa is a scholar working on General Health Professions, Demography, Health, Economics and Econometrics and Clinical Psychology, having authored 14 papers that have together received 172 indexed citations. Recurring topics across this work include Employment and Welfare Studies (13 papers), Workplace Health and Well-being (8 papers), Retirement, Disability, and Employment (6 papers), Health disparities and outcomes (3 papers), COVID-19 Pandemic Impacts (2 papers), Resilience and Mental Health (1 paper), Disaster Response and Management (1 paper) and Mental Health Treatment and Access (1 paper). The work is most often cited by research in Demography (90 citations), General Health Professions (159 citations), Health (42 citations), Radiological and Ultrasound Technology (7 citations) and Public Administration (3 citations). Eva Padrosa has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Mireia Julià, Joan Benach, Francesc Belvis, Mireia Bolíbar, Christophe Vanroelen, Carles Muntañer, Mireia Utzet, Carles Muntaner, Magnus Alderling and Tomas Hemmingsson. Their work appears in journals such as International Archives of Occupational and Environmental Health, European Journal of Public Health, Scandinavian Journal of Work Environment & Health, Quality & Quantity and BMJ Open.

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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