Marco Scarsini

3.5k citations
127 papers · 2.1k indexed · h-index 24

Impact in

Papers in

Marco Scarsini

123 papers receiving 1.9k citations

Peers

Marco Scarsini
Comparison fields: 5 of 100
  • General Decision Sciences 188
  • Management Science and Operations Research 1.1k
  • Statistics and Probability 597
  • Finance 556
  • Economics and Econometrics 658
Replace Victor DeMiguel with:
Victor DeMiguel United Kingdom
William T. Ziemba Canada
Elie Tamer United States
J.B. Heaton United States
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Lorenzo Garlappi Canada
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Citations per field
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Citations per year

Countries citing papers authored by Marco Scarsini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Scarsini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20242
5 20242
6 20233
7 20222
8 20213
9 201943
10 201811
11 201842
12
Demand-Independent Optimal Tolls.
20181
13
Large Newsvendor Games
20121
14
On Risk Aversion with Two Risks
20122
15
A Note on Comparative Downside Risk Aversion
20125
16
A Note on Stochastic Dominance and Inequality Measures
20121
17
A Minority Game with Bounded Recall
20072
18
The Newsvendor Game Has a Nonempty Core
20023
19 200021
20
On measures of concordance
1984104

About Marco Scarsini

Marco Scarsini is a scholar working on General Decision Sciences, Management Science and Operations Research, Statistics and Probability, Economics and Econometrics and Finance, having authored 127 papers that have together received 2.1k indexed citations. Recurring topics across this work include Game Theory and Applications (36 papers), Economic theories and models (28 papers), Probability and Risk Models (27 papers), Risk and Portfolio Optimization (24 papers), Statistical Distribution Estimation and Applications (16 papers), Auction Theory and Applications (15 papers), Game Theory and Voting Systems (14 papers) and Decision-Making and Behavioral Economics (13 papers). The work is most often cited by research in General Decision Sciences (188 citations), Management Science and Operations Research (1.1k citations), Statistics and Probability (597 citations), Finance (556 citations) and Economics and Econometrics (658 citations). Marco Scarsini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alfred Müller, Moshe Shaked, Pietro Muliere, Costis Maglaras, Luigi Montrucchio, Bruno Bassan, Karl Mosler, Omar Besbes, Yosef Rinott and Giovanni Puccetti. Their work appears in journals such as Journal of Multivariate Analysis, Operations Research, Games and Economic Behavior, Journal of Applied Probability and Mathematics of Operations Research.

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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