Countries citing papers authored by Lillian J. Ratliff
Since
Specialization
Citations
This map shows the geographic impact of Lillian J. Ratliff'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 Lillian J. Ratliff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lillian J. Ratliff more than expected).
Fields of papers citing papers by Lillian J. Ratliff
This network shows the impact of papers produced by Lillian J. Ratliff. 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 Lillian J. Ratliff. The network helps show where Lillian J. Ratliff may publish in the future.
Co-authorship network of co-authors of Lillian J. Ratliff
This figure shows the co-authorship network connecting the top 25 collaborators of Lillian J. Ratliff.
A scholar is included among the top collaborators of Lillian J. Ratliff 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 Lillian J. Ratliff. Lillian J. Ratliff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ratliff, Lillian J., et al.. (2021). Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation. International Conference on Learning Representations.1 indexed citations
4.
Ratliff, Lillian J., et al.. (2021). Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games. Neural Information Processing Systems. 34.2 indexed citations
Ratliff, Lillian J., et al.. (2019). Convergence Analysis of Gradient-Based Learning in Continuous Games.. CaltechAUTHORS (California Institute of Technology). 935–944.2 indexed citations
10.
Ratliff, Lillian J., et al.. (2018). On the Convergence of Competitive, Multi-Agent Gradient-Based Learning.. arXiv (Cornell University).1 indexed citations
Ratliff, Lillian J., Roy Dong, Henrik Ohlsson, & S. Shankar Sastry. (2013). Behavior Modification and Utility Learning via Energy Disaggregation.. arXiv (Cornell University).1 indexed citations
Ratliff, Lillian J. & Pushkin Kachroo. (2010). Validating Numerically Consistent Macroscopic Traffic Models Using Microscopic Data. Transportation Research Board 89th Annual MeetingTransportation Research Board.1 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.