John Lygeros

22.5k total citations · 4 hit papers
523 papers, 13.5k citations indexed

About

John Lygeros is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, John Lygeros has authored 523 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Control and Systems Engineering, 105 papers in Computational Theory and Mathematics and 105 papers in Electrical and Electronic Engineering. Recurrent topics in John Lygeros's work include Advanced Control Systems Optimization (146 papers), Formal Methods in Verification (63 papers) and Fault Detection and Control Systems (47 papers). John Lygeros is often cited by papers focused on Advanced Control Systems Optimization (146 papers), Formal Methods in Verification (63 papers) and Fault Detection and Control Systems (47 papers). John Lygeros collaborates with scholars based in Switzerland, United States and United Kingdom. John Lygeros's co-authors include Shankar Sastry, Claire J. Tomlin, Kostas Margellos, Karl Henrik Johansson, D.N. Godbole, Maria Prandini, Tyler Summers, Stamatis Manesis, Maryam Kamgarpour and Sean Summers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Nature Biotechnology.

In The Last Decade

John Lygeros

502 papers receiving 12.8k citations

Hit Papers

Dynamical properties of h... 1999 2026 2008 2017 2003 2005 1999 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
John Lygeros 6.3k 2.9k 2.4k 2.1k 1.7k 523 13.5k
Claire J. Tomlin 6.9k 1.1× 1.3k 0.5× 2.0k 0.8× 2.9k 1.4× 5.0k 2.9× 397 14.9k
Okyay Kaynak 10.1k 1.6× 2.3k 0.8× 956 0.4× 2.2k 1.1× 955 0.6× 335 16.6k
Shuai Li 8.4k 1.3× 1.7k 0.6× 1.4k 0.6× 2.4k 1.2× 1.3k 0.8× 519 18.1k
Frank Allgöwer 12.2k 1.9× 1.6k 0.6× 1.0k 0.4× 3.6k 1.7× 682 0.4× 688 17.0k
Magnus Egerstedt 6.1k 1.0× 1.3k 0.4× 1.7k 0.7× 9.1k 4.4× 1.9k 1.1× 449 15.2k
Shen Yin 14.6k 2.3× 1.8k 0.6× 1.1k 0.4× 2.5k 1.2× 994 0.6× 333 20.0k
Munther A. Dahleh 4.5k 0.7× 1.6k 0.6× 637 0.3× 1.1k 0.6× 943 0.6× 270 8.0k
Han‐Xiong Li 6.9k 1.1× 1.6k 0.6× 1.9k 0.8× 2.2k 1.1× 435 0.3× 403 12.9k
Yuhui Shi 2.5k 0.4× 2.6k 0.9× 3.6k 1.5× 1.9k 0.9× 1.1k 0.7× 240 14.7k
Yaonan Wang 4.4k 0.7× 2.5k 0.9× 708 0.3× 1.7k 0.8× 1.4k 0.8× 882 14.4k

Countries citing papers authored by John Lygeros

Since Specialization
Citations

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

Fields of papers citing papers by John Lygeros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Lygeros

This figure shows the co-authorship network connecting the top 25 collaborators of John Lygeros. A scholar is included among the top collaborators of John Lygeros 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 John Lygeros. John Lygeros 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.
Li, Yuchao, et al.. (2025). Parallel Model Predictive Control for Deterministic Systems. IEEE Transactions on Automatic Control. 71(2). 1255–1262.
2.
Peter, Christian, et al.. (2024). Peak shaving with hydrogen energy storage: From stochastic control to experiments on a 4 MWh facility. Applied Energy. 376. 123965–123965. 11 indexed citations
3.
Belgioioso, Giuseppe, Mathias Hudoba de Badyn, Saverio Bolognani, et al.. (2024). Online Feedback Equilibrium Seeking. IEEE Transactions on Automatic Control. 70(1). 203–218. 9 indexed citations
4.
Belgioioso, Giuseppe, et al.. (2024). BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent. IEEE Transactions on Automatic Control. 69(12). 8338–8353. 5 indexed citations
5.
Soloperto, Raffaele, et al.. (2024). Control Strategies for Recommendation Systems in Social Networks. IEEE Control Systems Letters. 8. 634–639. 3 indexed citations
6.
Bünning, Felix, Philipp Heer, Roy S. Smith, & John Lygeros. (2023). Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control. Advances in Applied Energy. 10. 100130–100130. 12 indexed citations
7.
Rupenyan, Alisa, et al.. (2023). Drone-based Volume Estimation in Indoor Environments. IFAC-PapersOnLine. 56(2). 5009–5014.
8.
Heer, Philipp, et al.. (2023). Modeling and real-time control of a hydrogen refueling station with uncertain demand. IFAC-PapersOnLine. 56(2). 2695–2700. 2 indexed citations
9.
Belgioioso, Giuseppe, et al.. (2023). Stability and Robustness of Distributed Suboptimal Model Predictive Control. IFAC-PapersOnLine. 56(2). 5115–5120. 3 indexed citations
10.
Balta, Efe C., et al.. (2023). Layer-to-layer closed-loop feedback control application for inter-layer temperature stabilization in laser powder bed fusion. Additive manufacturing. 78. 103847–103847. 24 indexed citations
11.
Martin, Andrea E., Luca Furieri, Florian Dörfler, John Lygeros, & Giancarlo Ferrari‐Trecate. (2023). Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control*. IFAC-PapersOnLine. 56(2). 2589–2594. 4 indexed citations
12.
Tsiamis, Anastasios, et al.. (2023). Implications of Regret on Stability of Linear Dynamical Systems. IFAC-PapersOnLine. 56(2). 2583–2588. 5 indexed citations
13.
Lygeros, John, et al.. (2023). Wasserstein Tube MPC with Exact Uncertainty Propagation. 2036–2041. 13 indexed citations
14.
Lygeros, John, et al.. (2023). NCCR Automation in Switzerland [Institutes in Control]. IEEE Control Systems. 43(5). 186–190. 1 indexed citations
15.
Rapsomaniki, Maria Anna, et al.. (2021). In silico analysis of DNA re-replication across a complete genome reveals cell-to-cell heterogeneity and genome plasticity. NAR Genomics and Bioinformatics. 3(1). lqaa112–lqaa112. 2 indexed citations
16.
Huang, Linbin, Jeremy Coulson, John Lygeros, & Florian Dörfler. (2019). Data-Driven Wide-Area Control.. arXiv (Cornell University). 3 indexed citations
17.
Hokayem, Peter, Eugenio Cinquemani, Debasish Chatterjee, & John Lygeros. (2010). Stochastic MPC with output feedback and bounded control inputs. arXiv (Cornell University). 2 indexed citations
18.
Lygeros, John, Konstantinos Koutroumpas, Sotiris Dimopoulos, et al.. (2008). Stochastic hybrid modeling of DNA replication across a complete genome. Proceedings of the National Academy of Sciences. 105(34). 12295–12300. 66 indexed citations
19.
Simić, Slobodan N., Karl Henrik Johansson, John Lygeros, & Shankar Sastry. (2005). Towards a geometric theory of hybrid systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 12. 649–687. 32 indexed citations
20.
Lygeros, John, D.N. Godbole, & Shankar Sastry. (1997). A Design Framework For Hierarchical, Hybrid Control. eScholarship (California Digital Library). 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.

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