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Richard M. Murray
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 106 124 121 61 58 667 98975

Richard M. Murray publications per year

The chart shows the history of publications by Richard M. Murray between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Richard M. Murray published across 37 years, from 1989 to 2025, averaging 22.1 papers a year. Output peaked at 54 publications in 2023. 36 of the 818 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 54. Peak 54 publications in 2023. 1989: 1 publication 1990: 7 publications 1991: 3 publications 1992: 6 publications 1993: 7 publications 1994: 14 publications 1995: 17 publications 1996: 9 publications 1997: 19 publications 1998: 15 publications 1999: 13 publications 2000: 12 publications 2001: 15 publications 2002: 23 publications 2003: 31 publications 2004: 32 publications 2005: 37 publications 2006: 28 publications 2007: 28 publications 2008: 26 publications 2009: 26 publications 2010: 24 publications 2011: 25 publications 2012: 23 publications 2013: 33 publications 2014: 39 publications 2015: 39 publications 2016: 26 publications 2017: 34 publications 2018: 22 publications 2019: 25 publications 2020: 22 publications 2021: 26 publications 2022: 21 publications 2023: 54 publications 2024: 15 publications 2025: 21 publications
1989 2025

818 publications in total across all disciplines

View publications per year as a table
Richard M. Murray: publications per year, 1989 to 2025
Year Publications
1989 1
1990 7
1991 3
1992 6
1993 7
1994 14
1995 17
1996 9
1997 19
1998 15
1999 13
2000 12
2001 15
2002 23
2003 31
2004 32
2005 37
2006 28
2007 28
2008 26
2009 26
2010 24
2011 25
2012 23
2013 33
2014 39
2015 39
2016 26
2017 34
2018 22
2019 25
2020 22
2021 26
2022 21
2023 54
2024 15
2025 21
Total 818
Download as CSV

Richard M. Murray 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 Richard M. Murray sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 654–673 publications, is where this scientist sits. 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
34–53 publications 1,065+

This scientist: 667 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54 667
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Richard M. Murray 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 Richard M. Murray sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 106 D-Index, is where this scientist sits. 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: 106 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13 106
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2017 - IEEE Control Systems Award “For contributions to the theory and applications of nonlinear and networked control systems.”

Overview

Richard M. Murray is affiliated with the California Institute of Technology in the United States. Their research spans multiple disciplines including biochemistry, genetics, molecular biology, and computer science. Within these fields, their work extensively covers molecular biology, computational theory and mathematics, software, artificial intelligence, and control and systems engineering.

Their recent published papers reflect a focus on synthetic biology, control systems, and computational methods. Selected titles include:

  • Synthetic mammalian signaling circuits for robust cell population control (2022, Cell)
  • Control education for societal-scale challenges: A community roadmap (2023, Annual Reviews in Control)
  • Robust Safe Control Synthesis with Disturbance Observer-Based Control Barrier Functions (2022, 2022 IEEE 61st Conference on Decision and Control)
  • The Python Control Systems Library (python-control) (2021, 2021 60th IEEE Conference on Decision and Control)
  • Integrase-mediated differentiation circuits improve evolutionary stability of burdensome and toxic functions in E. coli (2022, Nature Communications)

The scientist collaborates frequently with other researchers, including Aaron D. Ames, Ayush Pandey, Josefine B. Graebener, Mohamadreza Ahmadi, and Elin M. Larsson. Their publications often appear in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), ACS Synthetic Biology, Cureus, and the IEEE Conference on Decision and Control.

The main topics covered by their work are diverse and include:

  • Gene Regulatory Network Analysis
  • Formal Methods in Verification
  • CRISPR and Genetic Engineering
  • Bacterial Genetics and Biotechnology
  • Software Testing and Debugging Techniques
  • Viral Infectious Diseases and Gene Expression in Insects
  • RNA and protein synthesis mechanisms

In addition to articles, Richard M. Murray has contributed to book publications. One notable work is Feedback Systems: An Introduction for Scientists and Engineers, Second Edition, published by Lund University in 2021.

Their contributions to nonlinear and networked control systems were recognized with the IEEE Control Systems Award in 2017, citing their work in theory and applications.

Best Publications

  • Consensus problems in networks of agents with switching topology and time-delays

    R. Olfati-Saber;R.M. Murray

  • Consensus and Cooperation in Networked Multi-Agent Systems

    R. Olfati-Saber;J.A. Fax;R.M. Murray

  • A Mathematical Introduction to Robotic Manipulation

    Richard M. Murray;S. Shankar Sastry;Li Zexiang

  • A Mathmematical Introduction to Robotic Manipulation

    Richard M. Murray;Zexiang Li;S. Shankar Sastry

  • Information flow and cooperative control of vehicle formations

    J.A. Fax;R.M. Murray

  • Feedback Systems: An Introduction for Scientists and Engineers

    Karl Johan Astrom;Richard M. Murray

  • Nonholonomic motion planning: steering using sinusoids

    R.M. Murray;S.S. Sastry

  • Recent Research in Cooperative Control of Multivehicle Systems

    Richard M. Murray

  • Consensus protocols for networks of dynamic agents

    R.O. Saber;R.M. Murray

  • Nonholonomic Mechanical Systems with Symmetry

    Anthony M. Bloch;P. S. Krishnaprasad;Jerrold E. Marsden;Richard M. Murray

  • Distributed receding horizon control for multi-vehicle formation stabilization

    William B. Dunbar;Richard M. Murray

  • DISTRIBUTED COOPERATIVE CONTROL OF MULTIPLE VEHICLE FORMATIONS USING STRUCTURAL POTENTIAL FUNCTIONS

    Reza Olfati-Saber;Richard M. Murray

  • A motion planner for nonholonomic mobile robots

    J.-P. Laumond;P.E. Jacobs;M. Taix;R.M. Murray

  • Stabilization of trajectories for systems with nonholonomic constraints

    G. Walsh;D. Tilbury;S. Sastry;R. Murray

  • Future directions in control in an information-rich world

    R.M. Murray;K.J. Astrom;S.P. Boyd;R.W. Brockett

  • Privacy preserving average consensus

    Yilin Mo;Richard M. Murray

  • On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

    Vijay Gupta;Timothy H. Chung;Babak Hassibi;Richard M. Murray

  • Exponential stabilization of driftless nonlinear control systems using homogeneous feedback

    R.T. M'Closkey;R.M. Murray

  • End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

    Richard Cheng;Gábor Orosz;Richard M. Murray;Joel W. Burdick

  • Trajectory generation for the N-trailer problem using Goursat normal form

    D. Tilbury;R.M. Murray;S. Shankar Sastry

  • Graph rigidity and distributed formation stabilization of multi-vehicle systems

    R. Olfati-Saber;R.M. Murray

  • INFORMATION FLOW AND COOPERATIVE CONTROL OF VEHICLE FORMATIONS

    J. Alexander Fax;Richard M. Murray

Frequent Co-Authors

Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Ling Shi
Ling Shi Hong Kong University of Science and Technology
Shankar Sastry
Shankar Sastry University of California, Berkeley
Domitilla Del Vecchio
Domitilla Del Vecchio MIT
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Joel W. Burdick
Joel W. Burdick California Institute of Technology
Babak Hassibi
Babak Hassibi California Institute of Technology
John C. Doyle
John C. Doyle California Institute of Technology
Yasamin Mostofi
Yasamin Mostofi University of California, Santa Barbara
Michael H. Dickinson
Michael H. Dickinson California Institute of Technology

External Links

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can open additional career pathways. Programs such as a master's in training and development online offer skills in designing educational programs, enhancing leadership opportunities in technical fields.

Additionally, many universities now offer competency based masters, allowing students to progress at their own pace by demonstrating skills rather than accumulating credit hours. This flexible learning style is ideal for those balancing work, study, and personal commitments.

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Moreover, starting your academic journey is easier with online colleges with frequent start dates. These options ensure greater flexibility and quicker entry into programs, helping students adapt studies around their schedules and accelerate their career plans.

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