Danilo Cavapozzi

30 papers receiving 456 citations

Peers

Danilo Cavapozzi
Comparison fields: 5 of 64
  • Health 125
  • Neuropsychology and Physiological Psychology 23
  • Demography 119
  • Accounting 83
  • Social Psychology 132
Replace Christoph Wunder with:
Christoph Wunder Germany
Ming‐Ching Luoh Taiwan
Melissa J. Wilmarth United States
Neal E. Cutler United States
Mary Anne Taylor United States
Jesper Rözer Netherlands
Máximo Rossi Uruguay
Yoon G. Lee United States
Benoit Sorhaindo United States
Oliver Lipps Switzerland
Danilo Cavapozzi relative to Christoph Wunder Germany Christoph Wunder's profile →
Citations per field
00.5×4.2×
Christoph Wunder · 1×
Citations per year

Countries citing papers authored by Danilo Cavapozzi

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Cavapozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Danilo Cavapozzi, 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 Danilo Cavapozzi Line = papers co-authored together Danilo Cavapozzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011107
2 201372
3 201736
4 202126
5 201825
6
Working life histories from SHARELIFE: a retrospective panel
201325
7 201121
8 202219
9 202115
10 201515
11 201512
12 201911
13 201111
14 201111
15 201210
16 201910
17 20219
18 20119
19 20207
20 20157

About Danilo Cavapozzi

Danilo Cavapozzi is a scholar working on Demography, Sociology and Political Science, Economics and Econometrics, General Health Professions and Accounting, having authored 33 papers that have together received 486 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (10 papers), Financial Literacy, Pension, Retirement Analysis (8 papers), Health disparities and outcomes (7 papers), Employment and Welfare Studies (6 papers), Psychological Well-being and Life Satisfaction (4 papers), Financial Markets and Investment Strategies (4 papers), Labor market dynamics and wage inequality (4 papers) and Work-Family Balance Challenges (4 papers). The work is most often cited by research in Health (125 citations), Neuropsychology and Physiological Psychology (23 citations), Demography (119 citations), Accounting (83 citations) and Social Psychology (132 citations). Danilo Cavapozzi has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Viola Angelini, Omar Paccagnella, Luca Corazzini, Agar Brugiavini, Giacomo Pasini, Elisabetta Trevisan, Mario Padula, Cheti Nicoletti, Marco Francesconi and Raffaele Miniaci. Their work appears in journals such as Journal of Economic Behavior & Organization, Journal of Pensions Economics and Finance, Social Indicators Research, The Journal of the Economics of Ageing and The Journal of Economic Inequality.

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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