Ignacio Madero-Cabib

954 citations
53 papers · 678 · h-index 15

Impact in

Papers in

    • Retirement, Disability, and Employment 29
    • Migration, Aging, and Tourism Studies 6
    • Employment and Welfare Studies 22
    • Global Health Care Issues 5

Ignacio Madero-Cabib

50 papers receiving 661 citations

Peers

Ignacio Madero-Cabib
Comparison fields: 5 of 73
  • Demography 408
  • Neuropsychology and Physiological Psychology 30
  • General Health Professions 349
  • Health 67
  • Sociology and Political Science 163
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201583
2 201763
3 201542
4 201535
5 201934
6 201934
7 201931
8 201330
9 202030
10 202027
11 201527
12 201921
13 202121
14
Extended Working Life Policies : International Gender and Health Perspectives
202015
15 202115
16 201914
17 202113
18 202110
19 201810
20 20119

About Ignacio Madero-Cabib

Ignacio Madero-Cabib is a scholar working on Demography, General Health Professions, Health, Sociology and Political Science and Political Science and International Relations, having authored 53 papers that have together received 678 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (29 papers), Employment and Welfare Studies (22 papers), Health disparities and outcomes (8 papers), Migration, Aging, and Tourism Studies (6 papers), Social Policy and Reform Studies (5 papers), Labor market dynamics and wage inequality (5 papers), Global Health Care Issues (5 papers) and Intergenerational Family Dynamics and Caregiving (3 papers). The work is most often cited by research in Demography (408 citations), Neuropsychology and Physiological Psychology (30 citations), General Health Professions (349 citations), Health (67 citations) and Sociology and Political Science (163 citations). Ignacio Madero-Cabib has collaborated with scholars based in Chile, United States and Switzerland. Frequent co-authors include Anette Eva Fasang, Esteban Calvo, Isabel Baumann, Ursula M. Staudinger, Jean‐Marie Le Goff, Jacques‐Antoine Gauthier, Juan Carlos Castillo, Laurie Corna, Pablo Villalobos Dintrans and Daniel Miranda. Their work appears in journals such as Advances in Life Course Research, The Journals of Gerontology Series B, Longitudinal and Life Course Studies, Ageing and Society 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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