Lillian J. Ratliff
- Transportation top 5%
- Transportation Planning and Optimization 15
- Building and Construction top 5%
- Smart Parking Systems Research 9
-
- Game Theory and Applications 11
- Advanced Bandit Algorithms Research 8
- Automotive Engineering top 10%
- Transportation and Mobility Innovations 6
- Control and Systems Engineering top 10%
- Traffic control and management 7
-
- Reinforcement Learning in Robotics 9
-
- Smart Grid Energy Management 9
Lillian J. Ratliff
54 papers receiving 507 citations
Peers
Comparison fields: 5 of 76
- Transportation 73
- Building and Construction 110
- Management Science and Operations Research 96
- Automotive Engineering 65
- Control and Systems Engineering 122
Countries citing papers authored by Lillian J. Ratliff
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
The 25 scholars most cited alongside Lillian J. Ratliff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 25 | |
| 6 | Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation | 2021 | 1 |
| 7 | Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games | 2021 | 2 |
| 8 | Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study | 2020 | 21 |
| 9 | 2020 | 12 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 3 | |
| 12 | Convergence Analysis of Gradient-Based Learning in Continuous Games. | 2019 | 2 |
| 13 | On the Convergence of Competitive, Multi-Agent Gradient-Based Learning. | 2018 | 1 |
| 14 | 2018 | 22 | |
| 15 | 2018 | 4 | |
| 16 | Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods. | 2017 | 2 |
| 17 | 2017 | 5 | |
| 18 | Behavior Modification and Utility Learning via Energy Disaggregation. | 2013 | 1 |
| 19 | 2012 | 11 | |
| 20 | Validating Numerically Consistent Macroscopic Traffic Models Using Microscopic Data | 2010 | 1 |
About Lillian J. Ratliff
Lillian J. Ratliff is a scholar working on Transportation, Management Science and Operations Research and General Decision Sciences, having authored 59 papers that have together received 541 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (15 papers), Game Theory and Applications (11 papers), Smart Parking Systems Research (9 papers), Reinforcement Learning in Robotics (9 papers), Smart Grid Energy Management (9 papers), Advanced Bandit Algorithms Research (8 papers), Traffic control and management (7 papers) and Transportation and Mobility Innovations (6 papers). The work is most often cited by research in Transportation (73 citations), Building and Construction (110 citations) and Management Science and Operations Research (96 citations). Lillian J. Ratliff has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include S. Shankar Sastry, Samuel A. Burden, Baosen Zhang, Roy Dong, Henrik Ohlsson, Samuel Coogan, Ming Jin, Ioannis C. Konstantakopoulos, Costas J. Spanos and Daniel Calderone. Their work appears in journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.
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.