This map shows the geographic impact of Ryan Rogers'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 Ryan Rogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Rogers more than expected).
This network shows the impact of papers produced by Ryan Rogers. 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 Ryan Rogers. The network helps show where Ryan Rogers may publish in the future.
Co-authorship network of co-authors of Ryan Rogers
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Rogers.
A scholar is included among the top collaborators of Ryan Rogers 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 Ryan Rogers. Ryan Rogers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
18 of 18 papers shown
1.
Rogers, Ryan, et al.. (2021). Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics. 421–457.1 indexed citations
Rogers, Ryan. (2020). A Differentially Private Data Analytics {API} at Scale.2 indexed citations
4.
Dong, Jinshuo, et al.. (2020). Optimal Differential Privacy Composition for Exponential Mechanisms. 1. 2597–2606.6 indexed citations
5.
Duchi, John C. & Ryan Rogers. (2019). Lower Bounds for Locally Private Estimation via Communication Complexity. Conference on Learning Theory. 1161–1191.4 indexed citations
Rogers, Ryan & Daniel Kifer. (2017). A New Class of Private Chi-Square Hypothesis Tests.. International Conference on Artificial Intelligence and Statistics. 991–1000.13 indexed citations
8.
Dudı́k, Miroslav, Sébastien Lahaie, Ryan Rogers, & Jennifer Wortman Vaughan. (2017). A Decomposition of Forecast Error in Prediction Markets. Neural Information Processing Systems. 30. 4371–4380.1 indexed citations
9.
Rogers, Ryan. (2017). Leveraging Privacy In Data Analysis. ScholarlyCommons (University of Pennsylvania).1 indexed citations
10.
Kifer, Daniel & Ryan Rogers. (2016). A New Class of Private Chi-Square Tests. arXiv (Cornell University).2 indexed citations
11.
Jabbari, Shahin, et al.. (2016). Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs. arXiv (Cornell University). 29. 1570–1578.4 indexed citations
Rogers, Ryan, et al.. (2008). Infrasound Observations at USArray Sites - A Preliminary Investigation of the Utility of Seismo-Acoustic Observations on a Regional Scale. AGU Fall Meeting Abstracts. 2008.4 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.