Citations per year, relative to Rafael Frongillo Rafael Frongillo (= 1×)
peers
Nima Anari
Countries citing papers authored by Rafael Frongillo
Since
Specialization
Citations
This map shows the geographic impact of Rafael Frongillo'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 Rafael Frongillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Frongillo more than expected).
Fields of papers citing papers by Rafael Frongillo
This network shows the impact of papers produced by Rafael Frongillo. 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 Rafael Frongillo. The network helps show where Rafael Frongillo may publish in the future.
Co-authorship network of co-authors of Rafael Frongillo
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Frongillo.
A scholar is included among the top collaborators of Rafael Frongillo 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 Rafael Frongillo. Rafael Frongillo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shnayder, Victor, et al.. (2016). Measuring performance of peer prediction mechanisms using replicator dynamics. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 2611–2617.13 indexed citations
9.
Ho, Chien-Ju, Rafael Frongillo, & Yiling Chen. (2016). Eliciting Categorical Data for Optimal Aggregation. Neural Information Processing Systems. 29. 2442–2450.7 indexed citations
Frongillo, Rafael & Ian A. Kash. (2015). Vector-Valued Property Elicitation. Conference on Learning Theory. 710–727.11 indexed citations
12.
Waggoner, Bo, Rafael Frongillo, & Jacob Abernethy. (2015). A market framework for eliciting private data. Neural Information Processing Systems. 28. 3510–3518.4 indexed citations
13.
Frongillo, Rafael & Mark D. Reid. (2015). Convergence analysis of prediction markets via randomized subspace descent. ANU Open Research (Australian National University). 28. 3034–3042.2 indexed citations
14.
Frongillo, Rafael & Ian A. Kash. (2015). On elicitation complexity. Neural Information Processing Systems. 28. 3258–3266.2 indexed citations
Reid, Mark D., Rafael Frongillo, Robert C. Williamson, & Nishant A. Mehta. (2014). Generalized Mixability via Entropic Duality. arXiv (Cornell University). 1501–1522.3 indexed citations
Abernethy, Jacob, Peter L. Bartlett, Rafael Frongillo, & Andre Wibisono. (2013). How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal. QUT ePrints (Queensland University of Technology). 26. 2346–2354.3 indexed citations
19.
Abernethy, Jacob & Rafael Frongillo. (2012). A Characterization of Scoring Rules for Linear Properties. Conference on Learning Theory.21 indexed citations
20.
Frongillo, Rafael, et al.. (2012). Interpreting prediction markets: a stochastic approach. ANU Open Research (Australian National University). 25. 3266–3274.10 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.