Francesco D’Acunto
- Economics and Econometrics top 1%
- Accounting top 2%
- General Economics, Econometrics and Finance top 1%
- Finance top 2%
- Sociology and Political Science top 10%
- Co-authors
- Michael WeberAlberto G. RossiDaniel HoangNagpurnanand PrabhalaUlrike MalmendierMaritta PaloviitaJuan OspinaMarcel Prokopczuk
- Topics
- Financial Literacy, Pension, Retirement Analysis (22 papers)Monetary Policy and Economic Impact (22 papers)Housing Market and Economics (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Financial EconomicsJournal of Political Economy
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Francesco D’Acunto
89 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Economics and Econometrics 973
- Accounting 598
- General Economics, Econometrics and Finance 489
- Finance 482
- Sociology and Political Science 181
Countries citing papers authored by Francesco D’Acunto
This map shows the geographic impact of Francesco D’Acunto'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 Francesco D’Acunto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco D’Acunto more than expected).
Fields of papers citing papers by Francesco D’Acunto
This network shows the impact of papers produced by Francesco D’Acunto. 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 Francesco D’Acunto. The network helps show where Francesco D’Acunto may publish in the future.
Co-authorship network of co-authors of Francesco D’Acunto
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco D’Acunto. A scholar is included among the top collaborators of Francesco D’Acunto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco D’Acunto. Francesco D’Acunto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 161 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | The Promises and Pitfalls of Robo-Advisingbreakdown → | 248 |
| 17 | 2 | |
| 18 | 88 | |
| 19 | 0 | |
| 20 | 1 |
About Francesco D’Acunto
Francesco D’Acunto is a scholar working on Accounting, General Economics, Econometrics and Finance and General Decision Sciences, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (22 papers), Monetary Policy and Economic Impact (22 papers) and Housing Market and Economics (19 papers). The work is most often cited by research in General Decision Sciences (111 citations), General Economics, Econometrics and Finance (489 citations) and Accounting (598 citations). Francesco D’Acunto has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael Weber, Alberto G. Rossi, Daniel Hoang, Nagpurnanand Prabhala, Ulrike Malmendier, Maritta Paloviita, Juan Ospina, Marcel Prokopczuk, Olivier Coibion and Yuriy Gorodnichenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Financial Economics and Journal of Political Economy.
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.