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John V. Ringwood
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Electronics and Electrical Engineering
Ireland
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 57 1997 1914 4 4 465 10958

John V. Ringwood publications per year

The chart shows the history of publications by John V. Ringwood between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John V. Ringwood published across 43 years, from 1983 to 2025, averaging 13.7 papers a year. Output peaked at 45 publications in 2023. 70 of the 589 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2023. 1983: 1 publication 1984: 0 publications 1985: 1 publication 1986: 2 publications 1987: 0 publications 1988: 1 publication 1989: 1 publication 1990: 3 publications 1991: 4 publications 1992: 1 publication 1993: 3 publications 1994: 8 publications 1995: 8 publications 1996: 4 publications 1997: 1 publication 1998: 3 publications 1999: 5 publications 2000: 6 publications 2001: 7 publications 2002: 8 publications 2003: 6 publications 2004: 4 publications 2005: 7 publications 2006: 10 publications 2007: 9 publications 2008: 17 publications 2009: 15 publications 2010: 16 publications 2011: 15 publications 2012: 15 publications 2013: 15 publications 2014: 20 publications 2015: 20 publications 2016: 43 publications 2017: 27 publications 2018: 32 publications 2019: 36 publications 2020: 35 publications 2021: 37 publications 2022: 28 publications 2023: 45 publications 2024: 36 publications 2025: 34 publications
1983 2025

589 publications in total across all disciplines

View publications per year as a table
John V. Ringwood: publications per year, 1983 to 2025
Year Publications
1983 1
1984 0
1985 1
1986 2
1987 0
1988 1
1989 1
1990 3
1991 4
1992 1
1993 3
1994 8
1995 8
1996 4
1997 1
1998 3
1999 5
2000 6
2001 7
2002 8
2003 6
2004 4
2005 7
2006 10
2007 9
2008 17
2009 15
2010 16
2011 15
2012 15
2013 15
2014 20
2015 20
2016 43
2017 27
2018 32
2019 36
2020 35
2021 37
2022 28
2023 45
2024 36
2025 34
Total 589
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John V. Ringwood 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 V. Ringwood 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, 454–473 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: 465 publications — 81st percentile

81% 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
454–473 111 465
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
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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John V. Ringwood 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 V. Ringwood 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, 57 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: 57 D-Index — 72nd percentile

72% 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 57
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
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Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Ireland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Ireland Leader Award

Overview

John V. Ringwood is affiliated with the National University of Ireland, Maynooth. Their research primarily focuses on engineering, particularly within the subfields of ocean engineering, computational mechanics, control and systems engineering, electrical and electronic engineering, and aerospace engineering.

The scholar's work extensively covers key topics including wave and wind energy systems, fluid dynamics and vibration analysis, wind energy research and development, coastal and marine dynamics, numerical methods for differential equations, microgrid control and optimization, and frequency control in power systems.

Among recent publications, several papers stand out:

  • A review of wave energy technology from a research and commercial perspective, 2021, published in IET Renewable Power Generation
  • Geometric optimisation of wave energy conversion devices: A survey, 2021, published in Applied Energy
  • Empowering wave energy with control technology: Possibilities and pitfalls, 2023, published in Annual Reviews in Control
  • Oscillating-water-column wave energy converters: A critical review of numerical modelling and control, 2022, published in Energy Conversion and Management X
  • Wave energy control: status and perspectives 2020, published in IFAC-PapersOnLine

Frequent collaborators include:

  • Nicolás Faedo
  • Demián García-Violini
  • Andrei Ermakov
  • Yerai Peña-Sanchez
  • Hafiz Ahsan Said

Publication venues where this researcher appears regularly consist of:

  • Proceedings of the European Wave and Tidal Energy Conference
  • IFAC-PapersOnLine
  • IEEE Transactions on Sustainable Energy
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

The research profile reveals a comprehensive engagement with both theoretical and practical aspects of energy systems, wave mechanics, and control technologies. The volume of work across diverse but interrelated topics confirms an active involvement in advancing fields related to sustainable and renewable energy engineering.

Best Publications

  • Energy-Maximizing Control of Wave-Energy Converters: The Development of Control System Technology to Optimize Their Operation

    John V. Ringwood;Giorgio Bacelli;Francesco Fusco

  • Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters

    Francesco Fusco;John V Ringwood

  • Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview

    Nicolás Faedo;Sébastien Olaya;John V. Ringwood

  • Mathematical modelling of wave energy converters: A review of nonlinear approaches

    Markel Penalba;Giussepe Giorgi;John V. Ringwood

  • Variability reduction through optimal combination of wind/wave resources – An Irish case study

    Francesco Fusco;Gary Nolan;John V. Ringwood

  • High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks

    Christian Windt;Josh Davidson;John V. Ringwood

  • A Simple and Effective Real-Time Controller for Wave Energy Converters

    F. Fusco;J. V. Ringwood

  • A Review of Wave-to-Wire Models for Wave Energy Converters

    Markel Penalba;John V. Ringwood

  • Slow oscillations in blood pressure via a nonlinear feedback model

    John V. Ringwood;Simon C. Malpas

  • Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review

    Josh Davidson;John V. Ringwood

  • Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks

    J. V. Ringwood;D. Bofelli;F. T. Murray

  • Numerical Optimal Control of Wave Energy Converters

    Giorgio Bacelli;John V. Ringwood

  • Geometric optimisation of wave energy conversion devices: A survey

    Bingyong Guo;Bingyong Guo;John V. Ringwood

  • A Study of the Prediction Requirements in Real-Time Control of Wave Energy Converters

    F. Fusco;J. V. Ringwood

  • Hydrodynamic Control of Wave Energy Devices

    Umesh A. Korde;John Ringwood

  • On the Influence of Weather Forecast Errors in Short-Term Load Forecasting Models

    Damien Fay;John V Ringwood

  • Productivity and economic assessment of wave energy projects through operational simulations

    Boris Teillant;Ronan Costello;Jochem Weber;John Ringwood

  • Using NEMOH for Modelling Wave Energy Converters: A Comparative Study with WAMIT

    Markel Penalba;Thomas Kelly;John Ringwood

  • Linear parametric hydrodynamic models for ocean wave energy converters identified from numerical wave tank experiments

    Josh Davidson;Simone Giorgi;John V. Ringwood

  • Computationally efficient nonlinear Froude–Krylov force calculations for heaving axisymmetric wave energy point absorbers

    Giuseppe Giorgi;John V. Ringwood

  • A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models

    Markel Penalba;Josh Davidson;Christian Windt;John V. Ringwood

  • Hierarchical Robust Control of Oscillating Wave Energy Converters With Uncertain Dynamics

    Francesco Fusco;John V. Ringwood

Frequent Co-Authors

Seán McLoone
Seán McLoone Queen's University Belfast
Alessandro Astolfi
Alessandro Astolfi King Abdullah University of Science and Technology
Michael J. Grimble
Michael J. Grimble University of Strathclyde
Deborah Greaves
Deborah Greaves Plymouth University
Marta Molinas
Marta Molinas Norwegian University of Science and Technology
Silvio Simani
Silvio Simani University of Ferrara
Frédéric Dias
Frédéric Dias University College Dublin
Tomas E. Ward
Tomas E. Ward Dublin City University
David H. Owens
David H. Owens University of Sheffield
Douglas J. Leith
Douglas J. Leith Trinity College Dublin

External Links

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Related Online Degrees & Career Pathways

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Many professionals seek flexible options like accelerated online bachelor degree programs accredited, allowing them to earn their degree faster without compromising quality. This is especially beneficial for working adults balancing employment and study.

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Additionally, competency based programs offer an innovative approach focused on mastering skills rather than time spent in class. This model suits self-motivated learners aiming to quickly apply their knowledge in real-world engineering roles.

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