This map shows the geographic impact of Cathy Wu'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 Cathy Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Wu more than expected).
This network shows the impact of papers produced by Cathy Wu. 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 Cathy Wu. The network helps show where Cathy Wu may publish in the future.
Co-authorship network of co-authors of Cathy Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Cathy Wu.
A scholar is included among the top collaborators of Cathy Wu 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 Cathy Wu. Cathy Wu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wu, Cathy. (2018). Learning and Optimization for Mixed Autonomy Systems - A Mobility Context. eScholarship (California Digital Library).8 indexed citations
14.
Wu, Cathy, Aravind Rajeswaran, Yan Duan, et al.. (2018). Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. arXiv (Cornell University).5 indexed citations
Vinitsky, Eugene, Aboudy Kreidieh, Cathy Wu, et al.. (2018). Benchmarks for reinforcement learning in mixed-autonomy traffic. 399–409.38 indexed citations
17.
Wu, Cathy, Aboudy Kreidieh, Eugene Vinitsky, & Alexandre M. Bayen. (2017). Emergent Behaviors in Mixed-Autonomy Traffic. 398–407.32 indexed citations
18.
Wu, Cathy, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, & Alexandre M. Bayen. (2017). Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control.. arXiv (Cornell University).101 indexed citations
19.
Wu, Cathy, Ece Kamar, & Eric Horvitz. (2015). Clustering for Set Partitioning: A Case Study in Carpooling. Neural Information Processing Systems.1 indexed citations
20.
Yadlowsky, Steve, et al.. (2015). Link Density Inference from Cellular Infrastructure. Transportation Research Board 94th Annual MeetingTransportation Research Board.5 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.