Francesco D’Acunto

3.6k total citations · 1 hit paper
101 papers, 1.6k citations indexed

About

Francesco D’Acunto is a scholar working on Economics and Econometrics, Accounting and General Economics, Econometrics and Finance. According to data from OpenAlex, Francesco D’Acunto has authored 101 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Economics and Econometrics, 38 papers in Accounting and 24 papers in General Economics, Econometrics and Finance. Recurrent topics in Francesco D’Acunto's work include Financial Literacy, Pension, Retirement Analysis (22 papers), Monetary Policy and Economic Impact (22 papers) and Housing Market and Economics (19 papers). Francesco D’Acunto is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (22 papers), Monetary Policy and Economic Impact (22 papers) and Housing Market and Economics (19 papers). Francesco D’Acunto collaborates with scholars based in United States, Germany and United Kingdom. Francesco D’Acunto's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Financial Economics and Journal of Political Economy.

In The Last Decade

Francesco D’Acunto

89 papers receiving 1.5k citations

Hit Papers

The Promises and Pitfalls of Robo-Advising 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Promises and Pitfalls of Robo-Advising
    2019 248 citations Francesco D’Acunto, Nagpurnanand Prabhala et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco D’Acunto United States 19 973 598 489 482 181 101 1.6k
Stephan Siegel United States 20 1.4k 1.4× 1.3k 2.2× 302 0.6× 1.3k 2.7× 196 1.1× 53 2.7k
T. Clifton Green United States 28 1.5k 1.5× 1.8k 3.1× 628 1.3× 2.9k 6.0× 185 1.0× 43 3.8k
Sami Vähämaa Finland 24 875 0.9× 1.5k 2.5× 297 0.6× 961 2.0× 132 0.7× 73 2.5k
Markku Kaustia Finland 16 924 0.9× 1.1k 1.8× 85 0.2× 1.1k 2.3× 119 0.7× 39 1.8k
Gregor Matvos United States 19 1.4k 1.4× 1.3k 2.2× 168 0.3× 1.5k 3.1× 123 0.7× 48 2.7k
Victor Stango United States 19 1.1k 1.1× 923 1.5× 55 0.1× 470 1.0× 152 0.8× 44 1.7k
Alberto Galasso Canada 13 923 0.9× 602 1.0× 94 0.2× 153 0.3× 78 0.4× 36 1.6k
Barry Scholnick Canada 15 456 0.5× 756 1.3× 299 0.6× 368 0.8× 113 0.6× 41 1.5k
Andy C.W. Chui Hong Kong 15 811 0.8× 1.2k 1.9× 112 0.2× 1.2k 2.4× 107 0.6× 28 1.9k
Simon Gervais United States 14 1.2k 1.3× 1.3k 2.2× 146 0.3× 1.9k 3.9× 57 0.3× 30 2.4k

Countries citing papers authored by Francesco D’Acunto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
D’Acunto, Francesco, Pulak Ghosh, & Alberto G. Rossi. (2025). How costly are cultural biases? Evidence from FinTech. Journal of Financial Economics. 175. 104202–104202.
2.
D’Acunto, Francesco, et al.. (2024). Crowdsourcing peer information to change spending behavior. Journal of Financial Economics. 157. 103858–103858. 3 indexed citations
3.
D’Acunto, Francesco, et al.. (2024). Banks’ Market Power, Access to Finance, and Leverage. RePEc: Research Papers in Economics. 13(4). 889–930.
4.
D’Acunto, Francesco & Michael Weber. (2024). Why Survey-Based Subjective Expectations are Meaningful and Important. SSRN Electronic Journal. 3 indexed citations
5.
D’Acunto, Francesco, et al.. (2024). Household Inflation Expectations: An Overview of Recent Insights for Monetary Policy. SSRN Electronic Journal. 1 indexed citations
6.
D’Acunto, Francesco, et al.. (2024). Household Inflation Expectations: An Overview of Recent Insights for Monetary Policy. SSRN Electronic Journal. 3 indexed citations
7.
D’Acunto, Francesco & Michael Weber. (2024). Why Survey-Based Subjective Expectations Are Meaningful and Important. Annual Review of Economics. 16(1). 329–357. 8 indexed citations
8.
D’Acunto, Francesco & Alberto G. Rossi. (2023). Robo-Advice: Transforming Households into Rational Economic Agents. SSRN Electronic Journal. 1 indexed citations
9.
D’Acunto, Francesco & Alberto G. Rossi. (2023). Taming Behavioral Biases in Consumer Decision-Making: The Role of Robo-Advisors. SSRN Electronic Journal. 2 indexed citations
10.
D’Acunto, Francesco & A. Rossi. (2023). ROBO-ADVICE: AN EFFECTIVE TOOL TO REDUCE INEQUALITIES?. 10(1). 23–27. 1 indexed citations
11.
D’Acunto, Francesco, Daniel Hoang, Maritta Paloviita, & Michael Weber. (2022). IQ, Expectations, and Choice. The Review of Economic Studies. 90(5). 2292–2325. 67 indexed citations
12.
D’Acunto, Francesco, Andreas Fuster, & Michael Weber. (2021). Diverse Policy Committees Can Reach Underrepresented Groups. SSRN Electronic Journal. 7 indexed citations
13.
D’Acunto, Francesco, Ulrike Malmendier, Juan Ospina, & Michael Weber. (2020). Exposure to Grocery Prices and Inflation Expectations. Journal of Political Economy. 129(5). 1615–1639. 161 indexed citations
14.
D’Acunto, Francesco, Daniel Hoang, Maritta Paloviita, & Michael Weber. (2019). IQ, Expectations, and Choice. SSRN Electronic Journal. 20 indexed citations
15.
D’Acunto, Francesco, Ulrike Malmendier, Juan Ospina, & Michael Weber. (2019). Exposure to Daily Price Changes and Inflation Expectations. SSRN Electronic Journal. 1 indexed citations
16.
D’Acunto, Francesco, Marcel Prokopczuk, & Michael Weber. (2018). Historical Antisemitism, Ethnic Specialization, and Financial Development. The Review of Economic Studies. 86(3). 1170–1206. 88 indexed citations
17.
D’Acunto, Francesco, Nagpurnanand Prabhala, & Alberto G. Rossi. (2018). The Promises and Pitfalls of Robo-Advising. SSRN Electronic Journal. 14 indexed citations
18.
D’Acunto, Francesco, Daniel Hoang, & Michael Weber. (2018). Unconventional Fiscal Policy. SSRN Electronic Journal.
19.
D’Acunto, Francesco. (2017). From Financial History to History & Finance. SSRN Electronic Journal. 5 indexed citations
20.
D’Acunto, Francesco, et al.. (2017). Flexible Prices and Leverage. SSRN Electronic Journal. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stephan Siegel Breakdown of academic impact, for papers by T. Clifton Green Breakdown of academic impact, for papers by Sami Vähämaa Breakdown of academic impact, for papers by Markku Kaustia Breakdown of academic impact, for papers by Gregor Matvos Breakdown of academic impact, for papers by Victor Stango Breakdown of academic impact, for papers by Alberto Galasso Breakdown of academic impact, for papers by Barry Scholnick Breakdown of academic impact, for papers by Andy C.W. Chui Breakdown of academic impact, for papers by Simon Gervais
Rankless by CCL
2026