Ignacio Madero-Cabib

47 papers receiving 576 citations

Peers

Ignacio Madero-Cabib
Comparison fields: 5 of 80
  • Demography 380
  • Neuropsychology and Physiological Psychology 33
  • General Health Professions 361
  • Health 83
  • Sociology and Political Science 143
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Marleen Damman Netherlands
Eric R. Kingson United States
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Svenn‐Åge Dahl Norway
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Citations per field
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Citations per year

Countries citing papers authored by Ignacio Madero-Cabib

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Madero-Cabib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ignacio Madero-Cabib. 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 Ignacio Madero-Cabib. The network helps show where Ignacio Madero-Cabib may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 201756
3 201536
4 201933
5 201532
6 201328
7 201928
8 202027
9 201926
10 202025
11 201524
12 201920
13 202114
14 202113
15 201912
16 202110
17 202110
18
Extended Working Life Policies : International Gender and Health Perspectives
202010
19 20118
20 20228

About Ignacio Madero-Cabib

Ignacio Madero-Cabib is a scholar working on Demography, General Health Professions, Sociology and Political Science, Health and Political Science and International Relations, having authored 52 papers that have together received 591 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (31 papers), Employment and Welfare Studies (27 papers), Health disparities and outcomes (12 papers), Global Health Care Issues (10 papers), Migration, Aging, and Tourism Studies (8 papers), Labor market dynamics and wage inequality (5 papers), Social Policy and Reform Studies (4 papers) and Aging and Gerontology Research (4 papers). The work is most often cited by research in Demography (380 citations), Neuropsychology and Physiological Psychology (33 citations), General Health Professions (361 citations), Health (83 citations) and Sociology and Political Science (143 citations). Ignacio Madero-Cabib has collaborated with scholars based in Chile, United States and Switzerland. Frequent co-authors include Anette Eva Fasang, Esteban Calvo, Ursula M. Staudinger, Isabel Baumann, Jacques‐Antoine Gauthier, Pablo Villalobos Dintrans, Jean‐Marie Le Goff, Juan Carlos Castillo, Daniel Miranda and Laurie Corna. Their work appears in journals such as The Journals of Gerontology Series B, Aging & Mental Health, International Journal of Environmental Research and Public Health, Journal of Applied Gerontology and SSM - Population Health.

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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