World's Best Scientists 2026 revealed!
John Lygeros

John Lygeros

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
85
Citations
27562
World Ranking
386
National Ranking
11

John Lygeros publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where John Lygeros sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 622 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

John Lygeros D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where John Lygeros sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 85 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

John Lygeros is affiliated with ETH Zurich in Switzerland, focusing primarily on engineering-related research. Their scholarly work emphasizes control and systems engineering alongside electrical and electronic engineering, artificial intelligence, mechanical engineering, and automotive engineering as significant subfields.

The main topics addressed in their research include advanced control systems optimization, fault detection and control systems, control systems and identification, smart grid energy management, iterative learning control systems, additive manufacturing and 3D printing technologies, and building energy and comfort optimization.

Among their recent publications are several papers spanning energy optimization, control methods, and predictive modeling:

  • Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings, 2020, Energy and Buildings
  • Electrolyzer modeling and real-time control for optimized production of hydrogen gas, 2020, Applied Energy
  • Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC, 2022, Applied Energy
  • Data-enabled predictive control for quadcopters, 2021, International Journal of Robust and Nonlinear Control
  • Decentralized Data-Enabled Predictive Control for Power System Oscillation Damping, 2021, IEEE Transactions on Control Systems Technology

Frequent collaborators in their work include Efe C. Balta, Alisa Rupenyan, Florian Dörfler, Roy S. Smith, and Philipp Heer.

Their research outputs are predominantly published in venues such as arXiv (Cornell University), Repository for Publications and Research Data (ETH Zurich), IFAC-PapersOnLine, IEEE Transactions on Automatic Control, and IEEE Control Systems Letters.

Best Publications

  • A Survey of Applications of Wireless Sensors and Wireless Sensor Networks

    Th. Arampatzis;J. Lygeros;S. Manesis

  • Dynamical properties of hybrid automata

    J. Lygeros;K.H. Johansson;S.N. Simic;Jun Zhang

  • Controllers for reachability specifications for hybrid systems

    John Lygeros;Claire Tomlin;Shankar Sastry

  • A game theoretic approach to controller design for hybrid systems

    C.J. Tomlin;J. Lygeros;S. Shankar Sastry

  • On the regularization of Zeno hybrid automata

    Karl Henrik Johansson;Magnus Egerstedt;John Lygeros;Shankar Sastry

  • On Submodularity and Controllability in Complex Dynamical Networks

    Tyler H. Summers;Fabrizio L. Cortesi;John Lygeros

  • Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems

    Alessandro Abate;Maria Prandini;John Lygeros;Shankar Sastry

  • Verified hybrid controllers for automated vehicles

    J. Lygeros;D.N. Godbole;S. Sastry

  • Data-Enabled Predictive Control: In the Shallows of the DeePC

    Jeremy Coulson;John Lygeros;Florian Dorfler

  • A probabilistic approach to aircraft conflict detection

    M. Prandini;J. Hu;J. Lygeros;S. Sastry

  • Impulse differential inclusions: a viability approach to hybrid systems

    J.-P. Aubin;J. Lygeros;M. Quincampoix;S. Sastry

  • Towars a Theory of Stochastic Hybrid Systems

    Jianghai Hu;John Lygeros;Shankar Sastry

  • In silico feedback for in vivo regulation of a gene expression circuit

    Andreas Milias-Argeitis;Sean Summers;Jacob Stewart-Ornstein;Ignacio Zuleta

  • Zeno hybrid systems

    Jun Zhang;Karl Henrik Johansson;John Lygeros;Shankar Sastry

  • Longitudinal control of the lead car of a platoon

    D.N. Godbole;J. Lygeros

  • A Probabilistic Framework for Reserve Scheduling and ${ m N}-1$ Security Assessment of Systems With High Wind Power Penetration

    Maria Vrakopoulou;Kostas Margellos;John Lygeros;Goran Andersson

  • On reachability and minimum cost optimal control

    John Lygeros

  • On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems

    Kostas Margellos;Paul Goulart;John Lygeros

  • Hamilton–Jacobi Formulation for Reach–Avoid Differential Games

    K. Margellos;J. Lygeros

  • Stochastic hybrid systems

    Christos G. Cassandras;John Lygeros

  • Arbitraging Intraday Wholesale Energy Market Prices With Aggregations of Thermostatic Loads

    Johanna L. Mathieu;Maryam Kamgarpour;John Lygeros;Goran Andersson

Frequent Co-Authors

Shankar Sastry
Shankar Sastry University of California, Berkeley
Paul J. Goulart
Paul J. Goulart University of Oxford
Claire J. Tomlin
Claire J. Tomlin University of California, Berkeley
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Alessandro Abate
Alessandro Abate University of Oxford
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Jan Maciejowski
Jan Maciejowski University of Cambridge
Roy S. Smith
Roy S. Smith ETH Zurich

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