Countries citing papers authored by Ruggiero Cavallo
Since
Specialization
Citations
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.
Parkes, David C., Ruggiero Cavallo, Florin Constantin, & Satinder Singh. (2010). Dynamic Incentive Mechanisms. AI Magazine. 31(4). 79–94.11 indexed citations
10.
Cavallo, Ruggiero, David C. Parkes, & Satinder Singh. (2009). Efficient Mechanisms with Dynamic Populations and Dynamic Types. Digital Access to Scholarship at Harvard (DASH) (Harvard University).20 indexed citations
Cavallo, Ruggiero & David C. Parkes. (2008). Efficient metadeliberation auctions. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 50–56.10 indexed citations
13.
Seuken, Sven, Ruggiero Cavallo, & David C. Parkes. (2008). Partially-synchronized DEC-MDPs in dynamic mechanism design. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 162–169.3 indexed citations
14.
Cavallo, Ruggiero, et al.. (2008). Economic hierarchical Q-learning. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 689–695.7 indexed citations
Parkes, David C. & Ruggiero Cavallo. (2008). Social welfare maximization in dynamic strategic decision problems.8 indexed citations
17.
Cavallo, Ruggiero, David C. Parkes, & Satinder Singh. (2007). Efficient Online Mechanisms for Persistent, Periodically Inaccessible Self-Interested Agents.14 indexed citations
18.
Cavallo, Ruggiero. (2006). Handling self-interest in groups, with minimal cost. National Conference on Artificial Intelligence. 1585–1588.1 indexed citations
19.
Parkes, David C., Ruggiero Cavallo, Adam I. Juda, et al.. (2005). ICE. 249–258.37 indexed citations
20.
Cavallo, Ruggiero, David C. Parkes, Adam I. Juda, et al.. (2005). TBBL: A Tree-Based Bidding Language for Iterative Combinatorial Exchanges. Digital Access to Scholarship at Harvard (DASH) (Harvard University).21 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.