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David H. Owens

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 52 2521 2417 140 136 534 10655

David H. Owens publications per year

The chart shows the history of publications by David H. Owens between 1973 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David H. Owens published across 51 years, from 1973 to 2023, averaging 10.9 papers a year. Output peaked at 33 publications in 2004. 4 of the 555 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1973 to 2023. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2004. 1973: 3 publications 1974: 7 publications 1975: 7 publications 1976: 7 publications 1977: 5 publications 1978: 8 publications 1979: 11 publications 1980: 9 publications 1981: 8 publications 1982: 9 publications 1983: 2 publications 1984: 11 publications 1985: 7 publications 1986: 5 publications 1987: 9 publications 1988: 7 publications 1989: 8 publications 1990: 15 publications 1991: 7 publications 1992: 14 publications 1993: 8 publications 1994: 13 publications 1995: 11 publications 1996: 27 publications 1997: 15 publications 1998: 22 publications 1999: 21 publications 2000: 20 publications 2001: 22 publications 2002: 23 publications 2003: 30 publications 2004: 33 publications 2005: 26 publications 2006: 17 publications 2007: 22 publications 2008: 14 publications 2009: 5 publications 2010: 12 publications 2011: 4 publications 2012: 7 publications 2013: 8 publications 2014: 3 publications 2015: 4 publications 2016: 13 publications 2017: 1 publication 2018: 2 publications 2019: 2 publications 2020: 4 publications 2021: 3 publications 2022: 2 publications 2023: 2 publications
1973 2023

555 publications in total across all disciplines

View publications per year as a table
David H. Owens: publications per year, 1973 to 2023
Year Publications
1973 3
1974 7
1975 7
1976 7
1977 5
1978 8
1979 11
1980 9
1981 8
1982 9
1983 2
1984 11
1985 7
1986 5
1987 9
1988 7
1989 8
1990 15
1991 7
1992 14
1993 8
1994 13
1995 11
1996 27
1997 15
1998 22
1999 21
2000 20
2001 22
2002 23
2003 30
2004 33
2005 26
2006 17
2007 22
2008 14
2009 5
2010 12
2011 4
2012 7
2013 8
2014 3
2015 4
2016 13
2017 1
2018 2
2019 2
2020 4
2021 3
2022 2
2023 2
Total 555
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David H. Owens 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 David H. Owens 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, 534–553 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: 534 publications — 87th percentile

87% 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 92 534
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
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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David H. Owens 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 David H. Owens 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, 52 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: 52 D-Index — 64th percentile

64% 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 52
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
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2008 - Fellow of the Royal Academy of Engineering (UK)

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

His main research concerns Iterative learning control, Control theory, Mathematical optimization, Linear system and Stability. The study incorporates disciplines such as Optimal control, Iterative method, Rate of convergence, Monotonic function and Robustness in addition to Iterative learning control. The various areas that David H. Owens examines in his Optimal control study include Norm, Discrete time and continuous time and Observability.

His Control theory research includes elements of Feature and Applied mathematics. His Mathematical optimization study integrates concerns from other disciplines, such as Weighting, Intelligent control and Newton's method. His Linear system research is multidisciplinary, relying on both Basis and Of the form.

His most cited work include:

  • Iterative learning control for discrete-time systems with exponential rate of convergence (313 citations)
  • Stability Analysis for Linear Repetitive Processes (260 citations)
  • Iterative learning control using optimal feedback and feedforward actions (256 citations)

What are the main themes of his work throughout his whole career to date?

David H. Owens spends much of his time researching Control theory, Iterative learning control, Mathematical optimization, Linear system and Control engineering. All of his Control theory and Multivariable calculus, Adaptive control, Robustness, Repetitive control and Control system investigations are sub-components of the entire Control theory study. As a member of one scientific family, David H. Owens mostly works in the field of Iterative learning control, focusing on Optimal control and, on occasion, Discrete time and continuous time.

David H. Owens combines subjects such as Model predictive control and Nonlinear system with his study of Mathematical optimization. Basis is closely connected to Stability in his research, which is encompassed under the umbrella topic of Linear system. His study in the fields of Control theory under the domain of Control engineering overlaps with other disciplines such as Process control.

He most often published in these fields:

  • Control theory (64.36%)
  • Iterative learning control (36.97%)
  • Mathematical optimization (24.73%)

What were the highlights of his more recent work (between 2008-2020)?

  • Iterative learning control (36.97%)
  • Mathematical optimization (24.73%)
  • Norm (11.97%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Iterative learning control, Mathematical optimization, Norm, Control theory and Monotonic function. His Iterative learning control research integrates issues from Algorithm, Algorithm design, Optimal control and Robustness. His biological study spans a wide range of topics, including Weighting, Linear system and Fixed-point iteration.

His Norm study combines topics from a wide range of disciplines, such as Embedding and Multivariable calculus. His Control theory study frequently draws connections between adjacent fields such as Motion control. The Monotonic function study combines topics in areas such as Dykstra's projection algorithm, Hilbert space, Tracking error, Applied mathematics and Rate of convergence.

Between 2008 and 2020, his most popular works were:

  • Iterative Learning Control: An Optimization Paradigm (181 citations)
  • Robust monotone gradient-based discrete-time iterative learning control (80 citations)
  • Norm-Optimal Iterative Learning Control With Intermediate Point Weighting: Theory, Algorithms, and Experimental Evaluation (56 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

Iterative learning control, Mathematical optimization, Repetitive control, Norm and Optimal control are his primary areas of study. Control theory and Artificial intelligence are the subject areas of his Iterative learning control study. His primary area of study in Control theory is in the field of Robustness.

David H. Owens studied Mathematical optimization and Weighting that intersect with Linear system, Projection and Iterative method. As part of the same scientific family, David H. Owens usually focuses on Repetitive control, concentrating on Intelligent control and intersecting with Projection method, Remainder, Rehabilitation robotics and Robotics. His biological study spans a wide range of topics, including Algorithm, Algebraic number and Multivariable calculus.

Best Publications

  • Computer-Aided Control System Design

    H. H. Rosenbrock;D. H. Owens

  • Control Systems Theory and Applications for Linear Repetitive Processes

    Eric Rogers;Krzysztof Galkowski;D. H. Owens

  • Iterative learning control for discrete-time systems with exponential rate of convergence

    N. Amann;D.H. Owens;E. Rogers

  • Stability Analysis for Linear Repetitive Processes

    E. T. A. Rogers;D. H. Owens

  • Iterative learning control using optimal feedback and feedforward actions

    Notker Amann;David H. Owens;Eric Rogers

  • Predictive optimal iterative learning control

    Notker Amann;David H. Owens;Eric Rogers

  • Iterative Learning Control: An Optimization Paradigm

    David H. Owens

  • Analysis of Linear Iterative Learning Control Schemes -A 2D Systems/Repetitive Processes Approach

    D. H. Owens;N. Amann;E. Rogers;M. French

  • Parameter optimization in iterative learning control

    D. H. Owens;K. Feng

  • LMIs - a fundamental tool in analysis and controller design for discrete linear repetitive processes

    K. Galkowski;E. Rogers;S. Xu;J. Lam

  • Norm-Optimal Iterative Learning Control Applied to Gantry Robots for Automation Applications

    J.D. Ratcliffe;P.L. Lewin;E. Rogers;J.J. Hatonen

  • Robust monotone gradient-based discrete-time iterative learning control

    D. H. Owens;J. J. Hatonen;S. Daley

  • Sufficient conditions for stability of linear time-varying systems

    A. Ilchmann;D. H. Owens;D. Prätzel-Wolters

  • Existence and learning of oscillations in recurrent neural networks

    S. Townley;A. Ilchmann;M.G. Weiss;W. Mcclements

  • Method and apparatus for improved application program switching on a computer-controlled display system

    David H. Owens;Stephen Fisher

  • An algebraic approach to iterative learning control

    J. J. Hätönen;D. H. Owens;K. L. Moore

  • Discrete-time inverse model-based iterative learning control: stability, monotonicity and robustness

    T. J. Harte;J. Hätönen;D. H. Owens

  • Consistency and Liapunov Stability of Linear Descriptor Systems: A Geometric Analysis

    David H. Owens;Dragutin Lj. Debeljkovic

  • Feedback and multivariable systems

    D. H. Owens

  • Stability and control of differential linear repetitive processes using an LMI setting.

    Krzysztof Galkowski;Wojciech Paszke;Eric Rogers;Shengyuan Xu

Frequent Co-Authors

Eric Rogers
Eric Rogers University of Southampton
Krzysztof Galkowski
Krzysztof Galkowski University of Zielona Góra
Paul Lewin
Paul Lewin University of Southampton
Chris Freeman
Chris Freeman Bangor University
Yi Cao
Yi Cao Lund University
Stephen A. Billings
Stephen A. Billings University of Sheffield
James Lam
James Lam University of Hong Kong
Shengyuan Xu
Shengyuan Xu Nanjing University of Science and Technology
Kevin L. Moore
Kevin L. Moore Colorado School of Mines
Michael J. Grimble
Michael J. Grimble University of Strathclyde

External Links

Personal website of David H. Owens Google Scholar page

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Best Scientists Citing David H. Owens

Eric Rogers

Eric Rogers

University of Southampton

Publications: 246

Krzysztof Galkowski

Krzysztof Galkowski

University of Zielona Góra

Publications: 186

Chris Freeman

Chris Freeman

Bangor University

Publications: 93

Paul Lewin

Paul Lewin

University of Southampton

Publications: 45

YangQuan Chen

YangQuan Chen

University of California, Merced

Publications: 35

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 32

Furong Gao

Furong Gao

Hong Kong University of Science and Technology

Publications: 32

Kevin L. Moore

Kevin L. Moore

Colorado School of Mines

Publications: 31

Ronghu Chi

Ronghu Chi

Qingdao University of Science and Technology

Publications: 27

Jian-Xin Xu

Jian-Xin Xu

National University of Singapore

Publications: 24

Kira Barton

Kira Barton

University of Michigan–Ann Arbor

Publications: 22

Hyo-Sung Ahn

Hyo-Sung Ahn

Gwangju Institute of Science and Technology

Publications: 21

Ralph F. Osterhout

Ralph F. Osterhout

Microsoft (United States)

Publications: 21

James Lam

James Lam

University of Hong Kong

Publications: 20

Andrew G. Alleyne

Andrew G. Alleyne

University of Minnesota

Publications: 20

Junping Du

Junping Du

Beijing University of Posts and Telecommunications

Publications: 19

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