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Peter Tavner

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 31 6456 6198 326 320 110 6545

Peter Tavner publications per year

The chart shows the history of publications by Peter Tavner between 1987 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Tavner published across 38 years, from 1987 to 2024, averaging 4 papers a year. Output peaked at 24 publications in 2021. 9 of the 152 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1987 to 2024. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2021. 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 2 publications 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 2 publications 2006: 3 publications 2007: 1 publication 2008: 16 publications 2009: 2 publications 2010: 5 publications 2011: 3 publications 2012: 19 publications 2013: 9 publications 2014: 8 publications 2015: 6 publications 2016: 0 publications 2017: 15 publications 2018: 2 publications 2019: 0 publications 2020: 21 publications 2021: 24 publications 2022: 3 publications 2023: 6 publications 2024: 3 publications
1987 2024

152 publications in total across all disciplines

View publications per year as a table
Peter Tavner: publications per year, 1987 to 2024
Year Publications
1987 1
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 2
2002 0
2003 1
2004 0
2005 2
2006 3
2007 1
2008 16
2009 2
2010 5
2011 3
2012 19
2013 9
2014 8
2015 6
2016 0
2017 15
2018 2
2019 0
2020 21
2021 24
2022 3
2023 6
2024 3
Total 152
Download as CSV

Peter Tavner publications per year - data summary

  • Peter Tavner, a Electronics and Electrical Engineering scholar from Durham University, has 152 publications recorded across 38 years, from 1987 to 2024.
  • The oldest publication on record dates to 1987 and the most recent to 2024.
  • The most productive year is 2021, with 24 publications.
  • The least productive years with any output are 1987, 2003 and 2007, with 1 publication each.
  • 17 of the 38 years in the span carry no publications at all (1988, 1989, 1990, 1991 and others).
  • The rate of publication averages 4.0 papers per year over the whole span, or 7.2 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2020-2024) hold 57 publications, 38% of the career total.
  • Split into equal eras - 1987-1999: 1 publication (0.1 per year); 2000-2012: 54 publications (4.2 per year); 2013-2024: 97 publications (8.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Peter Tavner 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 Peter Tavner 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, 94–113 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: 110 publications — 5th percentile

5% 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
94–113 203 110
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
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
Download as CSV

Peter Tavner publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Peter Tavner, a Electronics and Electrical Engineering scholar from Durham University, records 110 publications - the 5th percentile of the discipline.
  • 5% of ranked Electronics and Electrical Engineering scientists score the same or lower than Peter Tavner, and about 95% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Peter Tavner ranks below the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Peter Tavner 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 Peter Tavner 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, 31 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: 31 D-Index — 6th percentile

6% 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 31
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
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Peter Tavner D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Peter Tavner, a Electronics and Electrical Engineering scholar from Durham University, records 31 D-Index - the 6th percentile of the discipline.
  • 6% of ranked Electronics and Electrical Engineering scientists score the same or lower than Peter Tavner, and about 94% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Peter Tavner ranks below the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Research.com Recognitions

  • 2016 - Honorary Member of the European Academy of Wind Energy for his prior service as President of EWEA for 2 years and numerous papers on wind turbine reliability
  • 2016 - Honorary Member of the European Academy of Wind Energy for his prior service as President of EWEA for 2 years and numerous papers on wind turbine reliability

Overview

Peter Tavner is affiliated with Durham University in the United Kingdom. Their research primarily spans the field of Engineering, with specific focus on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Safety, Risk, Reliability and Quality, and Ocean Engineering.

The scientist's work covers multiple main topics, including:

  • Machine Fault Diagnosis Techniques
  • Electric Motor Design and Analysis
  • Electric Power Systems and Control
  • Silicon Carbide Semiconductor Technologies
  • Power System Reliability and Maintenance
  • Sensor Technology and Measurement Systems
  • Non-Destructive Testing Techniques

Peter Tavner has contributed to both journal articles and book publications. Their recent papers include:

  • Integrated condition-based maintenance modelling and optimisation for offshore wind turbines, 2021, Wind Energy
  • Heat-Flux-Based Condition Monitoring of Multichip Power Modules Using a Two-Stage Neural Network, 2020, IEEE Transactions on Power Electronics
  • Distributed optimization model and algorithms for virtual energy storage systems using dynamic price, 2020, Journal of Cleaner Production
  • Monitoring Power Module Solder Degradation From Heat Dissipation in Two Opposite Directions, 2022, IEEE Transactions on Power Electronics
  • Distributed optimal power management for smart homes in microgrids with network and communication constraints, 2024, Applied Energy

They have also published books with the Institution of Engineering and Technology, including:

  • Condition Monitoring of Rotating Electrical Machines, 2020
  • Offshore Wind Power Reliability, availability and maintenance, 2021
  • Clean Energy: Past to future, 2023

Frequent co-authors working with Peter Tavner include Christopher Crabtree and Li Ran, among others. The most frequent are:

  • Christopher Crabtree (18 publications)
  • Li Ran (6 publications)
  • Li Ran (5 publications)
  • Christopher Crabtree (4 publications)
  • Ran Li (3 publications)

The scientist's publications appear regularly in the following venues:

  • IEEE Transactions on Power Electronics
  • Wind Energy
  • Journal of Cleaner Production
  • Applied Energy
  • Institution of Engineering and Technology eBooks

Best Publications

  • An Industry-Based Survey of Reliability in Power Electronic Converters

    Shaoyong Yang;A Bryant;P Mawby;Dawei Xiang

  • Comparison of direct-drive and geared generator concepts for wind turbines

    H. Polinder;F.F.A. van der Pijl;G.-J. de Vilder;P.J. Tavner

  • Condition Monitoring for Device Reliability in Power Electronic Converters: A Review

    Shaoyong Yang;Dawei Xiang;Angus Bryant;Philip Mawby

  • Control of a doubly fed induction generator in a wind turbine during grid fault ride-through

    Dawei Xiang;Li Ran;P.J. Tavner;S. Yang

  • Failure Modes and Effects Analysis (FMEA) for wind turbines.

    H. Arabian-Hoseynabadi;H. Oraee;P.J. Tavner

  • Review of condition monitoring of rotating electrical machines

    P.J. Tavner

  • Cost-Effective Condition Monitoring for Wind Turbines

    Wenxian Yang;P.J. Tavner;C.J. Crabtree;M. Wilkinson

  • Condition monitoring of electrical machines

    Peter J. Tavner;James Penman

  • Performance of BDFM as generator and motor

    R.A. McMahon;P.C. Roberts;X. Wang;P.J. Tavner

  • Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy

    G. A. M. van Kuik;Joachim Peinke;R. Nijssen;D.J. Lekou

  • Condition Monitoring of Rotating Electrical Machines

    Unknown

  • Monitoring wind turbine gearboxes

    Yanhui Feng;Yingning Qiu;Christopher J. Crabtree;Hui Long

  • Condition Monitoring of the Power Output of Wind Turbine Generators Using Wavelets

    S J Watson;B J Xiang;Wenxian Yang;P J Tavner

  • A Multilevel Modular Converter for a Large, Light Weight Wind Turbine Generator

    C.H. Ng;M.A. Parker;Li Ran;P.J. Tavner

  • Equivalent circuit for the brushless doubly fed machine (BDFM) including parameter estimation and experimental verification

    P.C. Roberts;R.A. McMahon;P.J. Tavner;J.M. Maciejowski

  • Investigation Into IGBT dV/dt During Turn-Off and Its Temperature Dependence

    A. Bryant;Shaoyong Yang;P. Mawby;Dawei Xiang

  • Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train

    Wenxian Yang;P Tavner;M Wilkinson

  • Coordinated control of an HVDC link and doubly fed induction generators in a large offshore wind farm

    Dawei Xiang;Li Ran;J.R. Bumby;P.J. Tavner

  • Monitoring Solder Fatigue in a Power Module Using Case-Above-Ambient Temperature Rise

    Dawei Xiang;Li Ran;P. Tavner;A. Bryant

  • Condition Monitoring of Rotating Electrical Machines

    Peter J. Tavner;Li Ran;Jim Penman;Howard Sedding

  • Condition Monitoring Power Module Solder Fatigue Using Inverter Harmonic Identification

    Dawei Xiang;Li Ran;P. Tavner;Shaoyong Yang

  • Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS

    Bindi Chen;Peter C. Matthews;Peter J. Tavner

  • The BDFM as a Generator in Wind Turbines

    Richard A. McMahon;Xiaoyan Wan;Eshan Abdi-Jalebi;Peter J. Tavner

  • Analysis and Enhancement of Low-Voltage Ride-Through Capability of Brushless Doubly Fed Induction Generator

    S. Tohidi;H. Oraee;M. R. Zolghadri;Shiyi Shao

  • Condition Monitoring of Generators & Other Subassemblies in Wind Turbine Drive Trains

    M.R. Wilkinson;F. Spinato;P.J. Tavner

  • Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

    Wenxian Yang;Wenxian Yang;Richard Court;Peter J. Tavner;Christopher J. Crabtree

  • Improved energy conversion for doubly-fed wind generators

    A.C. Smith;R. Todd;M. Barnes;P.J. Tavner

  • Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition.

    Bindi Chen;Peter C. Matthews;Peter J. Tavner

  • Performance analysis and testing of a 250 kW medium-speed brushless doubly-fed induction generator

    Ehsan Abdi;Richard McMahon;Paul Malliband;Shiyi Shao

  • Detection of rotor electrical asymmetry in wind turbine doubly-fed induction generators

    Mahmoud Zaggout;Peter Tavner;Christopher Crabtree;Li Ran

  • Wind Turbine Condition Monitoring Based on an Improved Spline-Kernelled Chirplet Transform

    Wenxian Yang;Peter J. Tavner;Wenye Tian

  • Tidal stream turbines: With or without a Gearbox?

    Khalil Touimi;Mohamed Benbouzid;Mohamed Benbouzid;Peter Tavner

  • Characterising brushless doubly fed machine rotors

    Richard McMahon;Peter Tavner;Ehsan Abdi;Paul Malliband

  • Control of a doubly fed induction generator in a wind turbine during grid fault ride-through

    Li Ran;Dawei Xiang;P.J. Tavner;Shunchang Yang

Frequent Co-Authors

Li Ran
Li Ran University of Warwick
Richard A. McMahon
Richard A. McMahon University of Warwick
Hui Long
Hui Long University of Sheffield
Markus Mueller
Markus Mueller University of Edinburgh
Henk Polinder
Henk Polinder Delft University of Technology
Mohamed Benbouzid
Mohamed Benbouzid University of Western Brittany
John Dalsgaard Sørensen
John Dalsgaard Sørensen Aalborg University
Jan Maciejowski
Jan Maciejowski University of Cambridge
Carlo L. Bottasso
Carlo L. Bottasso Technical University of Munich
Mike Barnes
Mike Barnes University of Manchester

External Links

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