Dino Gerardi

687 total citations
25 papers, 378 citations indexed

About

Dino Gerardi is a scholar working on Management Science and Operations Research, Economics and Econometrics and Safety Research. According to data from OpenAlex, Dino Gerardi has authored 25 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 14 papers in Economics and Econometrics and 10 papers in Safety Research. Recurrent topics in Dino Gerardi's work include Game Theory and Applications (15 papers), Auction Theory and Applications (15 papers) and Experimental Behavioral Economics Studies (10 papers). Dino Gerardi is often cited by papers focused on Game Theory and Applications (15 papers), Auction Theory and Applications (15 papers) and Experimental Behavioral Economics Studies (10 papers). Dino Gerardi collaborates with scholars based in United States, Italy and France. Dino Gerardi's co-authors include Leeat Yariv, Luca Anderlini, Roger Lagunoff, Francesco Squintani, Ulrich Doraszelski, Roger B. Myerson, Johannes Hörner, Richard P. McLean, Andrew Postlewaite and Margaret McConnell and has published in prestigious journals such as American Economic Review, The Economic Journal and American Political Science Review.

In The Last Decade

Dino Gerardi

21 papers receiving 349 citations

Peers

Dino Gerardi
Comparison fields: 5 of 45
  • Management Science and Operations Research 235
  • Economics and Econometrics 202
  • Safety Research 153
  • Sociology and Political Science 47
  • Political Science and International Relations 42
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Citations per field, relative to Dino Gerardi
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Citations per year, relative to Dino Gerardi
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Countries citing papers authored by Dino Gerardi

Since Specialization
Citations

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

Fields of papers citing papers by Dino Gerardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dino Gerardi

This figure shows the co-authorship network connecting the top 25 collaborators of Dino Gerardi. A scholar is included among the top collaborators of Dino Gerardi 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 Dino Gerardi. Dino Gerardi 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
# Work Indexed citations
1 1
2 6
3 0
4 34
5 13
6
Social Memory and Evidence from the Past
1
7 5
8 12
9
Social Memory and Evidence from the Past
8
10 11
11 4
12 105
13 17
14 9
15
The Folk Theorem in Dynastic Repeated Games
0
16
Committee Design in the Presence of Communication
5
17 32
18 11
19 34
20 12

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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