Tyler Summers

2.9k total citations · 1 hit paper
91 papers, 1.8k citations indexed

About

Tyler Summers is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Tyler Summers has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 37 papers in Control and Systems Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Tyler Summers's work include Distributed Control Multi-Agent Systems (33 papers), Advanced Control Systems Optimization (19 papers) and Optimal Power Flow Distribution (9 papers). Tyler Summers is often cited by papers focused on Distributed Control Multi-Agent Systems (33 papers), Advanced Control Systems Optimization (19 papers) and Optimal Power Flow Distribution (9 papers). Tyler Summers collaborates with scholars based in United States, Switzerland and Australia. Tyler Summers's co-authors include John Lygeros, Kyri Baker, Emiliano Dall’Anese, Brian D. O. Anderson, Maruthi R. Akella, Mark Mears, Changbin Yu, Yi Guo, Soura Dasgupta and Manfred Morari and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Tyler Summers

87 papers receiving 1.8k citations

Hit Papers

On Submodularity and Cont... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tyler Summers 759 738 524 251 206 91 1.8k
Giuseppe Notarstefano 526 0.7× 1.3k 1.8× 215 0.4× 189 0.8× 246 1.2× 126 1.9k
Amir G. Aghdam 742 1.0× 1.5k 2.1× 458 0.9× 267 1.1× 83 0.4× 223 2.0k
Jianghai Hu 898 1.2× 436 0.6× 251 0.5× 631 2.5× 263 1.3× 156 2.1k
Ruggero Carli 1.1k 1.5× 2.5k 3.4× 994 1.9× 217 0.9× 619 3.0× 166 3.6k
Wenwu Yu 858 1.1× 951 1.3× 244 0.5× 78 0.3× 216 1.0× 124 1.7k
Shun‐ichi Azuma 939 1.2× 543 0.7× 230 0.4× 117 0.5× 116 0.6× 180 1.7k
Yinyan Zhang 1.3k 1.7× 407 0.6× 206 0.4× 172 0.7× 676 3.3× 98 2.3k
Yoonsoo Kim 580 0.8× 825 1.1× 356 0.7× 665 2.6× 111 0.5× 113 1.9k
Dengxiu Yu 809 1.1× 740 1.0× 97 0.2× 235 0.9× 254 1.2× 107 1.5k
Yanjun Shen 1.8k 2.4× 957 1.3× 611 1.2× 230 0.9× 400 1.9× 134 3.1k

Countries citing papers authored by Tyler Summers

Since Specialization
Citations

This map shows the geographic impact of Tyler Summers'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 Tyler Summers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Summers more than expected).

Fields of papers citing papers by Tyler Summers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler Summers. 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 Tyler Summers. The network helps show where Tyler Summers may publish in the future.

Co-authorship network of co-authors of Tyler Summers

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Summers. A scholar is included among the top collaborators of Tyler Summers 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 Tyler Summers. Tyler Summers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Summers, Tyler, et al.. (2024). Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments. 103–109. 3 indexed citations
2.
Vinod, Abraham P., et al.. (2024). Decentralized, Safe, Multiagent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning. IEEE Transactions on Control Systems Technology. 32(6). 2492–2499. 1 indexed citations
3.
Summers, Tyler, et al.. (2024). cvxRiskOpt: A Risk-Based Optimization Tool Based on CVXPY. IEEE Control Systems Letters. 8. 2163–2168.
4.
Guo, Yi, Ognjen Stanojev, Gabriela Hug, & Tyler Summers. (2024). Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach. IEEE Transactions on Control Systems Technology. 32(4). 1528–1535. 1 indexed citations
5.
Limbacher, James A., Ralph A. Kahn, Mariel D. Friberg, et al.. (2024). MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm. Atmospheric measurement techniques. 17(2). 471–498.
6.
Yu, Xiang, et al.. (2024). Grasping Trajectory Optimization with Point Clouds. 9885–9892. 1 indexed citations
8.
Guo, Yi, Xinyang Zhou, Changhong Zhao, et al.. (2023). An Online Joint Optimization–Estimation Architecture for Distribution Networks. IEEE Transactions on Control Systems Technology. 31(6). 2303–2318. 3 indexed citations
9.
Lygeros, John, et al.. (2022). Policy Iteration for Multiplicative Noise Output Feedback Control. 2022 IEEE 61st Conference on Decision and Control (CDC). 15. 2967–2972. 1 indexed citations
10.
Summers, Tyler, Karthik Ganapathy, Iman Shames, & Mathias Hudoba de Badyn. (2022). Self-Tuning Network Control Architectures. 2022 IEEE 61st Conference on Decision and Control (CDC). 1. 5876–5881. 1 indexed citations
11.
Summers, Tyler, et al.. (2022). Data-driven distributionally robust MPC for systems with uncertain dynamics. 2022 IEEE 61st Conference on Decision and Control (CDC). 4788–4793. 6 indexed citations
12.
Рачинский, Дмитрий, et al.. (2019). Distributed Formation Control via Mixed Barycentric Coordinate and Distance-Based Approach. 51–58. 11 indexed citations
13.
Taha, Ahmad F., et al.. (2019). Algorithms for joint sensor and control nodes selection in dynamic networks. Automatica. 106. 124–133. 9 indexed citations
14.
Guo, Yi, Kyri Baker, Emiliano Dall’Anese, Zechun Hu, & Tyler Summers. (2018). Data-Based Distributionally Robust Stochastic Optimal Power Flow—Part II: Case Studies. IEEE Transactions on Power Systems. 34(2). 1493–1503. 52 indexed citations
15.
Summers, Tyler & Maryam Kamgarpour. (2017). Performance guarantees for greedy maximization of non-submodular set functions in systems and control.. arXiv (Cornell University). 6 indexed citations
16.
Dall’Anese, Emiliano, Kyri Baker, & Tyler Summers. (2016). Optimal power flow for distribution systems under uncertain forecasts. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7502–7507. 9 indexed citations
17.
Vinod, Abraham P., Tyler Summers, & Meeko Oishi. (2016). User-interface design for MIMO LTI human-automation systems through sensor placement. 7. 5276–5283. 3 indexed citations
18.
Summers, Tyler, Joseph Warrington, Manfred Morari, & John Lygeros. (2015). Stochastic optimal power flow based on conditional value at risk and distributional robustness. International Journal of Electrical Power & Energy Systems. 72. 116–125. 85 indexed citations
19.
Summers, Tyler, Changbin Yu, Brian D. O. Anderson, & Soura Dasgupta. (2009). Control of minimally persistent leader-remote-follower formations in the plane. 2438–2443. 2 indexed citations
20.
Summers, Tyler, Changbin Yu, & Brian D. O. Anderson. (2008). Decentralized closing ranks in vehicle formations and sensor networks. ANU Open Research (Australian National University). 1137–1143. 3 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.

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