Ruggiero Cavallo
- Management Science and Operations Research top 2%
- Marketing top 5%
- Economics and Econometrics top 10%
- Safety Research top 10%
- Computer Networks and Communications top 10%
- Co-authors
- David C. ParkesSatinder SinghChristopher A. WilkensShaili JainSébastien LahaieAdam I. JudaLoizos MichaelBenjamin Lubin
- Topics
- Auction Theory and Applications (22 papers)Game Theory and Applications (9 papers)Experimental Behavioral Economics Studies (7 papers)
- Journals
- AI MagazineDigital Access to Scholarship at Harvard (DASH) (Harvard University)arXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Ruggiero Cavallo
22 papers receiving 302 citations
Peers
Comparison fields: 5 of 33
- Management Science and Operations Research 267
- Marketing 122
- Economics and Econometrics 103
- Safety Research 63
- Computer Networks and Communications 60
Countries citing papers authored by Ruggiero Cavallo
This map shows the geographic impact of Ruggiero Cavallo'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 Ruggiero Cavallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruggiero Cavallo more than expected).
Fields of papers citing papers by Ruggiero Cavallo
This network shows the impact of papers produced by Ruggiero Cavallo. 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 Ruggiero Cavallo. The network helps show where Ruggiero Cavallo may publish in the future.
Co-authorship network of co-authors of Ruggiero Cavallo
This figure shows the co-authorship network connecting the top 25 collaborators of Ruggiero Cavallo. A scholar is included among the top collaborators of Ruggiero Cavallo 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 Ruggiero Cavallo. Ruggiero Cavallo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | Efficient Mechanisms with Dynamic Populations and Dynamic Types | 20 |
| 10 | 3 | |
| 11 | Economic hierarchical Q-learning | 7 |
| 12 | Efficient metadeliberation auctions | 10 |
| 13 | Partially-synchronized DEC-MDPs in dynamic mechanism design | 3 |
| 14 | 19 | |
| 15 | Social welfare maximization in dynamic strategic decision problems | 8 |
| 16 | Efficient Online Mechanisms for Persistent, Periodically Inaccessible Self-Interested Agents | 14 |
| 17 | Handling self-interest in groups, with minimal cost | 1 |
| 18 | 93 | |
| 19 | 37 | |
| 20 | TBBL: A Tree-Based Bidding Language for Iterative Combinatorial Exchanges | 21 |
About Ruggiero Cavallo
Ruggiero Cavallo is a scholar working on Management Science and Operations Research, Safety Research and Marketing, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Auction Theory and Applications (22 papers), Game Theory and Applications (9 papers) and Experimental Behavioral Economics Studies (7 papers). The work is most often cited by research in Management Science and Operations Research (267 citations), Marketing (122 citations) and Safety Research (63 citations). Ruggiero Cavallo has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include David C. Parkes, Satinder Singh, Christopher A. Wilkens, Shaili Jain, Satinder Singh, Sébastien Lahaie, Adam I. Juda, Loizos Michael, Benjamin Lubin and Rad Niazadeh. Their work appears in journals such as AI Magazine, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and arXiv (Cornell University).
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.