Franco Peracchi

91 papers receiving 1.7k citations

Peers

Franco Peracchi
Comparison fields: 5 of 124
  • Demography 686
  • Statistics and Probability 254
  • General Health Professions 652
  • Health 209
  • Economics and Econometrics 706
Replace Maarten Lindeboom with:
Maarten Lindeboom Netherlands
Nicole Maestas United States
Frank T. Denton Canada
Thomas F. Crossley United Kingdom
Agar Brugiavini Italy
Brent Kreider United States
Myeong‐Su Yun United States
Bas van der Klaauw Netherlands
J. S. Butler United States
Marianne Page United States
Franco Peracchi relative to Maarten Lindeboom Netherlands Maarten Lindeboom's profile →
Citations per field
00.5×1.5×2.3×
Maarten Lindeboom · 1×
Citations per year

Countries citing papers authored by Franco Peracchi

Since Specialization
Citations

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

Fields of papers citing papers by Franco Peracchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002222
2 2012213
3 2016123
4 1994123
5 199590
6 200585
7 199961
8 201061
9 199560
10 200948
11
Social Security and Retirement in Spain
199742
12 200639
13 201139
14 200636
15 201135
16 201629
17 201027
18 200823
19 200222
20
A cross-country comparison of survey nonparticipation in the ECHP
200222

About Franco Peracchi

Franco Peracchi is a scholar working on Economics and Econometrics, Statistics and Probability, Demography, Accounting and General Health Professions, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Retirement, Disability, and Employment (19 papers), Financial Literacy, Pension, Retirement Analysis (16 papers), Labor market dynamics and wage inequality (15 papers), Statistical Methods and Bayesian Inference (13 papers), Insurance, Mortality, Demography, Risk Management (11 papers), Spatial and Panel Data Analysis (10 papers) and Global Health Care Issues (10 papers). The work is most often cited by research in Demography (686 citations), Statistics and Probability (254 citations), General Health Professions (652 citations), Health (209 citations) and Economics and Econometrics (706 citations). Franco Peracchi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Fabrizio Mazzonna, Finis Welch, Cheti Nicoletti, Silverio Foresi, Claudio Rossetti, Agar Brugiavini, Giuseppe De Luca, Michele Boldrín, Valentina Meliciani and Sergi Jiménez‐Martín. Their work appears in journals such as Journal of Econometrics, Journal of the Royal Statistical Society Series A (Statistics in Society), Empirical Economics, The Stata Journal Promoting communications on statistics and Stata and Computational Statistics & Data Analysis.

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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