World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
106
Citations
102854
World Ranking
100
National Ranking
39

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2011 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2004 - IEEE Control Systems Award “For fundamental contributions to theanalysis and control of uncertain systems.”

Overview

John C. Doyle is affiliated with the California Institute of Technology in the United States. Their research spans multiple disciplines with primary focus areas in Neuroscience and Engineering.

The scientist's work covers several key topics, including:

  • Neural dynamics and brain function
  • Advanced Control Systems Optimization
  • Gene Regulatory Network Analysis
  • Stability and Control of Uncertain Systems
  • EEG and Brain-Computer Interfaces
  • Motor Control and Adaptation
  • Microbial Metabolic Engineering and Bioproduction

In terms of research fields, John C. Doyle has contributed to:

  • Neuroscience
  • Engineering

More specialized subfields of their work include:

  • Cognitive Neuroscience
  • Control and Systems Engineering
  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Networks and Communications

John C. Doyle has published papers in several key venues, such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE 61st Conference on Decision and Control (CDC)
  • Proceedings of the National Academy of Sciences
  • 2022 American Control Conference (ACC)

Recent publications include:

  • <scp>SBML</scp> Level 3: an extensible format for the exchange and reuse of biological models, 2020, Molecular Systems Biology
  • Metabolic multistability and hysteresis in a model aerobe-anaerobe microbiome community, 2020, Science Advances
  • A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control Architecture, 2024, IEEE Control Systems
  • Internal feedback in the cortical perception-action loop enables fast and accurate behavior, 2023, Proceedings of the National Academy of Sciences
  • Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control, 2021, Proceedings of the National Academy of Sciences

Frequent collaborators in their research have included:

  • Anish A. Sarma
  • Jing Shuang Li
  • Terrence J. Sejnowski
  • Yorie Nakahira
  • Quanying Liu

John C. Doyle has been recognized with several awards, including:

  • Fellow of the International Federation of Automatic Control (IFAC), 2011
  • IEEE Control Systems Award, 2004, for fundamental contributions to the analysis and control of uncertain systems

Best Publications

  • Robust and Optimal Control

    J. Doyle

  • State-space solutions to standard H/sub 2/ and H/sub infinity / control problems

    J.C. Doyle;K. Glover;P.P. Khargonekar;B.A. Francis

  • Robust and Optimal Control

    K. Zhou;J.C. Doyle;K. Glover

  • Essentials of Robust Control

    Kemin Zhou;John Comstock Doyle

  • Feedback Control Theory

    John Comstock Doyle;Bruce A. Francis;Allen R. Tannenbaum

  • The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

    M. Hucka;A. Finney;H. M. Sauro;H. Bolouri;H. Bolouri

  • Fire in the Earth System

    David M. J. S. Bowman;Jennifer K. Balch;Jennifer K. Balch;Jennifer K. Balch;Paulo Artaxo;William J. Bond

  • Multivariable feedback design: Concepts for a classical/modern synthesis

    J. Doyle;G. Stein

  • Analysis of feedback systems with structured uncertainties

    John Doyle

  • State-space solutions to standard H 2 and H ∞ control problems

    John Doyle;Keith Glover;Pramod Khargonekar;Bruce Francis

  • State-space formulae for all stabilizing controllers that satisfy and H ∞ norm bound and relations to risk sensitivity

    Keith Glover;John C. Doyle

  • The complex structured singular value

    A. Packard;J. Doyle

  • Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

    Mung Chiang;S.H. Low;A.R. Calderbank;J.C. Doyle

  • Reverse engineering of biological complexity.

    Marie E. Csete;John C. Doyle

  • Robustness of cellular functions

    Jörg Stelling;Uwe Sauer;Zoltan Szallasi;Francis J. Doyle

  • Robust perfect adaptation in bacterial chemotaxis through integral feedback control.

    Tau-Mu Yi;Yun Huang;Melvin I. Simon;John Doyle

  • Complexity and robustness

    J. M. Carlson;John Doyle

  • Guaranteed margins for LQG regulators

    J. Doyle

  • Internet congestion control

    S.H. Low;F. Paganini;J.C. Doyle

  • Robustness with observers

    J. Doyle;G. Stein

  • Analysis of Feedback Systems with Structured Uncertainty

    J. C. Doyle

Frequent Co-Authors

Steven H. Low
Steven H. Low California Institute of Technology
Keith Glover
Keith Glover University of Cambridge
Kemin Zhou
Kemin Zhou Shandong University of Science and Technology
Jun Ye
Jun Ye University of Colorado Boulder
Walter Willinger
Walter Willinger NIKSUN, Inc.
Fernando Paganini
Fernando Paganini University of California, Los Angeles
Richard M. Murray
Richard M. Murray California Institute of Technology
Michael Hucka
Michael Hucka California Institute of Technology
Hiroaki Kitano
Hiroaki Kitano Okinawa Institute of Science and Technology
Gary J. Balas
Gary J. Balas University of Minnesota

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