Andrea Galeotti
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Statistical and Nonlinear Physics top 1%
- Sociology and Political Science top 5%
- Strategy and Management top 2%
- Co-authors
- Sanjeev GoyalItay P. FainmesserFernando Vega‐RedondoJosé L. Moraga‐GonzálezMatthew O. JacksonLeeat YarivJurjen KamphorstChristian Ghiglino
- Topics
- Game Theory and Applications (24 papers)Digital Platforms and Economics (18 papers)Consumer Market Behavior and Pricing (14 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Andrea Galeotti
55 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Management Science and Operations Research 965
- Economics and Econometrics 566
- Statistical and Nonlinear Physics 497
- Sociology and Political Science 427
- Strategy and Management 420
Countries citing papers authored by Andrea Galeotti
This map shows the geographic impact of Andrea Galeotti'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 Andrea Galeotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Galeotti more than expected).
Fields of papers citing papers by Andrea Galeotti
This network shows the impact of papers produced by Andrea Galeotti. 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 Andrea Galeotti. The network helps show where Andrea Galeotti may publish in the future.
Co-authorship network of co-authors of Andrea Galeotti
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Galeotti. A scholar is included among the top collaborators of Andrea Galeotti 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 Andrea Galeotti. Andrea Galeotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 38 | |
| 6 | 43 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 93 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 177 | |
| 14 | 314 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | A Model of Strategic Targeted Advertising | 1 |
| 18 | Strategic Intermediation in a Two-Sided Market | 1 |
| 19 | 2 | |
| 20 | On Social and Economic Networks | 10 |
About Andrea Galeotti
Andrea Galeotti is a scholar working on Management Science and Operations Research, Marketing and Strategy and Management, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Game Theory and Applications (24 papers), Digital Platforms and Economics (18 papers) and Consumer Market Behavior and Pricing (14 papers). The work is most often cited by research in Management Science and Operations Research (965 citations), Statistical and Nonlinear Physics (497 citations) and Safety Research (334 citations). Andrea Galeotti has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sanjeev Goyal, Itay P. Fainmesser, Fernando Vega‐Redondo, José L. Moraga‐González, Matthew O. Jackson, Leeat Yariv, Jurjen Kamphorst, Christian Ghiglino, Francesco Squintani and Benjamin Golub. Their work appears in journals such as American Economic Review, Econometrica and Management Science.
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.