John C. Doyle

63.3k citations
359 papers · 47.1k · 21 hit papers · h-index 81

Impact in

    • Stability and Control of Uncertain Systems
    • Control Systems and Identification
    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems
    • Adaptive Control of Nonlinear Systems

Papers in

John C. Doyle

344 papers receiving 44.2k citations

John C. Doyle's Hit Papers

Fire in the Earth System 2009 · 2.6k citations
2.6k0+12+25Years since publication10002.0k3.0k4.0k

Peers

John C. Doyle
Comparison fields: 5 of 224
  • Control and Systems Engineering 23.4k
  • Numerical Analysis 2.7k
  • Statistics, Probability and Uncertainty 3.2k
  • Statistical and Nonlinear Physics 5.1k
  • Computational Theory and Mathematics 4.3k
Replace Bernhard Schölkopf with:
Bernhard Schölkopf Germany
James C. Kennedy United States
Stephen Boyd United States
Jorge Nocedal United States
Richard Bellman United States
David L. Donoho United States
R.C. Eberhart United States
Rudolf E. Kalman United States
Gene Howard Golub United States
Xin‐She Yang United Kingdom
John C. Doyle relative to Bernhard Schölkopf Germany Bernhard Schölkopf's profile →
Citations per field
00.5×2×4×6.4×
Bernhard Schölkopf · 1×
Citations per year

Countries citing papers authored by John C. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by John C. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John C. Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John C. Doyle Line = papers co-authored together John C. Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 359 papers — load more, or switch the sort, to bring in the rest.

#Work
1
State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
Hit paper breakdown →
19894381
2
Robust and Optimal Control
Hit paper breakdown →
19973401
3
Robust and optimal control
Hit paper breakdown →
20022734
4
Fire in the Earth System
Hit paper breakdown →
20092580
5
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models
Hit paper breakdown →
20032394
6
Feedback Control Theory
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19922251
7
Multivariable feedback design: Concepts for a classical/modern synthesis
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19811667
8
Analysis of feedback systems with structured uncertainties
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19821319
9
Analysis of feedback systems with structured uncertainties
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19821192
10
The complex structured singular value
Hit paper breakdown →
19931113
11
Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures
Hit paper breakdown →
20071012
12
State-space formulae for all stabilizing controllers that satisfy an H∞-norm bound and relations to relations to risk sensitivity
Hit paper breakdown →
19881008
13
Reverse Engineering of Biological Complexity
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2002938
14
Robustness of Cellular Functions
Hit paper breakdown →
2004851
15 2000796
16
State-space solutions to standard H 2 and H ∞ control problems
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1988627
17
Robustness in the presence of mixed parametric uncertainty and unmodeled dynamics
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1991615
18
Complexity and robustness
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2002597
19
Internet congestion control
Hit paper breakdown →
2002594
20
Guaranteed margins for LQG regulators
Hit paper breakdown →
1978559

About John C. Doyle

John C. Doyle is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Numerical Analysis and Computer Networks and Communications, having authored 359 papers that have together received 47.1k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (80 papers), Control Systems and Identification (51 papers), Gene Regulatory Network Analysis (50 papers), Advanced Control Systems Optimization (39 papers), Probabilistic and Robust Engineering Design (36 papers), Model Reduction and Neural Networks (33 papers), Fault Detection and Control Systems (30 papers) and Network Traffic and Congestion Control (25 papers). The work is most often cited by research in Control and Systems Engineering (23.4k citations), Numerical Analysis (2.7k citations), Statistics, Probability and Uncertainty (3.2k citations), Statistical and Nonlinear Physics (5.1k citations) and Computational Theory and Mathematics (4.3k citations). John C. Doyle has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include K. Glover, Bruce Allen Francis, Kemin Zhou, Pramod P. Khargonekar, G. Stein, Steven H. Low, MARIE E. CSETE, Allen Tannenbaum, Jean M. Carlson and Andrew Packard. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the National Academy of Sciences, Automatica, IEEE/ACM Transactions on Networking and The Medical Journal of Australia.

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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