Rosa Aísa

412 citations
17 papers · 269 · h-index 9

Impact in

Papers in

    • Global Health Care Issues 7
    • Employment and Welfare Studies 3
    • Fiscal Policy and Economic Growth 6
    • Economic Growth and Productivity 4
    • Labor market dynamics and wage inequality 3
    • Regional Economics and Spatial Analysis 2

Rosa Aísa

17 papers receiving 256 citations

Peers

Rosa Aísa
Comparison fields: 5 of 62
  • General Health Professions 140
  • Economics and Econometrics 140
  • Demography 57
  • Neuropsychology and Physiological Psychology 4
  • Health 18
Replace Timo Trimborn with:
Timo Trimborn Germany
Jože Sambt Slovenia
Raffaele Grotti Italy
Francesca Zantomio Italy
Umut Oguzoglu Canada
Ed Westerhout Netherlands
Ken Yamada Japan
Marco Mira d’Ercole France
Lenny Stoeldraijer Netherlands
Aspen Gorry United States
Rosa Aísa relative to Timo Trimborn Germany Timo Trimborn's profile →
Citations per field
00.5×3.2×
Timo Trimborn · 1×
Citations per year

Countries citing papers authored by Rosa Aísa

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Aísa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Rosa Aísa, 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 Rosa Aísa Line = papers co-authored together Rosa Aísa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200548
2 201137
3 201437
4
Endogenous longevity, health and economic growth: a slow growth for a longer life?
200431
5 201922
6 202319
7 200515
8 201213
9 201211
10 20157
11 20107
12 20165
13 20155
14 20134
15
Timing of migration
20073
16 20213
17 20132

About Rosa Aísa

Rosa Aísa is a scholar working on General Health Professions, Economics and Econometrics, Demography, Sociology and Political Science and Law, having authored 17 papers that have together received 269 indexed citations. Recurring topics across this work include Global Health Care Issues (7 papers), Fiscal Policy and Economic Growth (6 papers), Retirement, Disability, and Employment (5 papers), Economic Growth and Productivity (4 papers), Migration and Labor Dynamics (3 papers), Employment and Welfare Studies (3 papers), Labor market dynamics and wage inequality (3 papers) and Regional Economics and Spatial Analysis (2 papers). The work is most often cited by research in General Health Professions (140 citations), Economics and Econometrics (140 citations), Demography (57 citations), Neuropsychology and Physiological Psychology (4 citations) and Health (18 citations). Rosa Aísa has collaborated with scholars based in Spain. Frequent co-authors include Fernando Pueyo, Jesús Clemente, Jorge Martı́n and M. González-Álvarez. Their work appears in journals such as Journal of Population Economics, Feminist Economics, Economic Modelling, Economics Letters and Ethnicities.

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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