Mássimo Marinacci

10.0k total citations · 2 hit papers
106 papers, 5.3k citations indexed

About

Mássimo Marinacci is a scholar working on Economics and Econometrics, General Decision Sciences and Management Science and Operations Research. According to data from OpenAlex, Mássimo Marinacci has authored 106 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Economics and Econometrics, 54 papers in General Decision Sciences and 41 papers in Management Science and Operations Research. Recurrent topics in Mássimo Marinacci's work include Decision-Making and Behavioral Economics (54 papers), Economic theories and models (36 papers) and Economic and Environmental Valuation (22 papers). Mássimo Marinacci is often cited by papers focused on Decision-Making and Behavioral Economics (54 papers), Economic theories and models (36 papers) and Economic and Environmental Valuation (22 papers). Mássimo Marinacci collaborates with scholars based in Italy, United States and United Kingdom. Mássimo Marinacci's co-authors include Fabio Maccheroni, Peter Klibanoff, Sujoy Mukerji, Paolo Ghirardato, Luigi Montrucchio, Simone Cerreia‐Vioglio, Aldo Rustichini, Marco Taboga, Doriana Ruffino and Itzhak Gilboa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Economic Review and Econometrica.

In The Last Decade

Mássimo Marinacci

101 papers receiving 5.0k citations

Hit Papers

A Smooth Model of Decision Making under Ambiguity 2004 2026 2011 2018 2005 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mássimo Marinacci Italy 33 3.3k 2.6k 2.0k 1.4k 616 106 5.3k
Itzhak Gilboa Israel 25 3.1k 0.9× 2.6k 1.0× 2.3k 1.2× 1.1k 0.8× 826 1.3× 95 5.7k
David Schmeidler Israel 40 6.4k 1.9× 3.9k 1.5× 4.8k 2.4× 1.5k 1.1× 1.3k 2.1× 118 10.6k
Daniel Ellsberg United States 8 2.2k 0.7× 2.3k 0.9× 1.3k 0.7× 846 0.6× 647 1.1× 12 5.0k
Fabio Maccheroni Italy 23 1.7k 0.5× 1.4k 0.5× 957 0.5× 634 0.5× 295 0.5× 70 2.6k
Faruk Gül United States 30 3.6k 1.1× 1.5k 0.6× 2.0k 1.0× 612 0.4× 939 1.5× 46 5.2k
Peter Klibanoff United States 15 1.4k 0.4× 1.2k 0.4× 735 0.4× 573 0.4× 344 0.6× 32 2.2k
Sujoy Mukerji United Kingdom 16 1.4k 0.4× 1.1k 0.4× 679 0.3× 660 0.5× 287 0.5× 34 2.2k
Larry G. Epstein United States 47 8.1k 2.4× 2.5k 1.0× 2.2k 1.1× 6.3k 4.5× 498 0.8× 96 12.0k
William R. Zame United States 28 1.7k 0.5× 237 0.1× 760 0.4× 695 0.5× 449 0.7× 107 3.0k
Paolo Ghirardato United States 14 1.2k 0.3× 1.2k 0.4× 666 0.3× 415 0.3× 263 0.4× 24 1.9k

Countries citing papers authored by Mássimo Marinacci

Since Specialization
Citations

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

Fields of papers citing papers by Mássimo Marinacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mássimo Marinacci

This figure shows the co-authorship network connecting the top 25 collaborators of Mássimo Marinacci. A scholar is included among the top collaborators of Mássimo Marinacci 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 Mássimo Marinacci. Mássimo Marinacci 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.
Krajbich, Ian, et al.. (2023). Measuring utility with diffusion models. Science Advances. 9(34). eadf1665–eadf1665. 1 indexed citations
2.
Botticini, Maristella, et al.. (2023). Presidential Address 2023: The Beauty of Uncertainty: The Rise of Insurance Contracts and Markets in Medieval Europe. Journal of the European Economic Association. 21(6). 2287–2326.
3.
Cerreia‐Vioglio, Simone, Fabio Maccheroni, Mássimo Marinacci, & Aldo Rustichini. (2022). Multinomial Logit Processes and Preference Discovery: Inside and Outside the Black Box. The Review of Economic Studies. 90(3). 1155–1194. 4 indexed citations
4.
Cerreia‐Vioglio, Simone, Fabio Maccheroni, & Mássimo Marinacci. (2019). Ambiguity aversion and wealth effects. Journal of Economic Theory. 199. 104898–104898. 10 indexed citations
5.
Cerreia‐Vioglio, Simone, et al.. (2016). Conditional L-spaces and the duality of modules over f-algebras. Journal of Mathematical Analysis and Applications. 444(2). 1045–1070. 8 indexed citations
6.
Cerreia‐Vioglio, Simone, Fabio Maccheroni, & Mássimo Marinacci. (2016). Hilbert A-modules. Journal of Mathematical Analysis and Applications. 446(1). 970–1017. 6 indexed citations
7.
Cerreia‐Vioglio, Simone, Fabio Maccheroni, Mássimo Marinacci, & Luigi Montrucchio. (2015). Choquet integration on Riesz spaces and dual comonotonicity. Transactions of the American Mathematical Society. 367(12). 8521–8542. 18 indexed citations
8.
Cerreia‐Vioglio, Simone, Fabio Maccheroni, Mássimo Marinacci, & Aldo Rustichini. (2013). Niveloids and their extensions: Risk measures on small domains. Journal of Mathematical Analysis and Applications. 413(1). 343–360. 15 indexed citations
9.
Maccheroni, Fabio, Mássimo Marinacci, & Doriana Ruffino. (2011). Alpha As Ambiguity: Robust Mean-Variance Portfolio Analysis. SSRN Electronic Journal. 42 indexed citations
10.
Marinacci, Mássimo & Luigi Montrucchio. (2008). On concavity and supermodularity. Journal of Mathematical Analysis and Applications. 344(2). 642–654. 27 indexed citations
11.
Epstein, Larry G., Mássimo Marinacci, & Kyoungwon Seo. (2007). Coarse contingencies and ambiguity. Theoretical Economics. 2(4). 355–394. 51 indexed citations
12.
Marinacci, Mássimo & Luigi Montrucchio. (2006). On Concavity and Supermodularity. RePEc: Research Papers in Economics. 34 indexed citations
13.
Klibanoff, Peter, Mássimo Marinacci, & Sujoy Mukerji. (2005). A Smooth Model of Decision Making under Ambiguity. Econometrica. 73(6). 1849–1892. 1243 indexed citations breakdown →
14.
Castagnoli, Erio, Fabio Maccheroni, & Mássimo Marinacci. (2003). Choquet Insurance Pricing: A Caveat. SSRN Electronic Journal. 4 indexed citations
15.
Castagnoli, Erio, Fabio Maccheroni, & Mássimo Marinacci. (2003). Expected utility with multiple priors. 121–132. 5 indexed citations
16.
Marinacci, Mássimo. (2003). Subcalculus for set functions and cores of large TU games. Journal of Mathematical Economics. 39. 1–25. 1 indexed citations
17.
Marinacci, Mássimo & Luigi Montrucchio. (2003). A characterization of the core of convex games through Gateaux derivatives. Journal of Economic Theory. 116(2). 229–248. 28 indexed citations
18.
Marinacci, Mássimo. (2001). Probabilistic Sophistication and Multiple Priors. SSRN Electronic Journal. 6 indexed citations
19.
Marinacci, Mássimo, et al.. (2001). Random Correspondences as Bundles of Random Variables. 66(3). 409–427. 39 indexed citations
20.
Ghirardato, Paolo & Mássimo Marinacci. (2000). The impossibility of compromise: some uniqueness properties of expected utility preferences. Economic Theory. 16(2). 245–258. 4 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.

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