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David Infield

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 61 1511 1444 73 70 314 16961

David Infield publications per year

The chart shows the history of publications by David Infield between 1983 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Infield published across 41 years, from 1983 to 2023, averaging 8.3 papers a year. Output peaked at 24 publications in 2013. 10 of the 340 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1983 to 2023. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2013. 1983: 1 publication 1984: 2 publications 1985: 0 publications 1986: 0 publications 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 3 publications 1992: 3 publications 1993: 3 publications 1994: 5 publications 1995: 5 publications 1996: 5 publications 1997: 1 publication 1998: 5 publications 1999: 1 publication 2000: 8 publications 2001: 10 publications 2002: 9 publications 2003: 20 publications 2004: 18 publications 2005: 19 publications 2006: 12 publications 2007: 11 publications 2008: 15 publications 2009: 21 publications 2010: 13 publications 2011: 16 publications 2012: 13 publications 2013: 24 publications 2014: 21 publications 2015: 15 publications 2016: 7 publications 2017: 9 publications 2018: 11 publications 2019: 9 publications 2020: 10 publications 2021: 4 publications 2022: 7 publications 2023: 3 publications
1983 2023

340 publications in total across all disciplines

View publications per year as a table
David Infield: publications per year, 1983 to 2023
Year Publications
1983 1
1984 2
1985 0
1986 0
1987 1
1988 0
1989 0
1990 0
1991 3
1992 3
1993 3
1994 5
1995 5
1996 5
1997 1
1998 5
1999 1
2000 8
2001 10
2002 9
2003 20
2004 18
2005 19
2006 12
2007 11
2008 15
2009 21
2010 13
2011 16
2012 13
2013 24
2014 21
2015 15
2016 7
2017 9
2018 11
2019 9
2020 10
2021 4
2022 7
2023 3
Total 340
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David Infield 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 Infield 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, 314–333 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: 314 publications — 60th percentile

60% 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
314–333 276 314
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
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David Infield 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 Infield 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, 61 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: 61 D-Index — 78th percentile

78% 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 61
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

Overview

David Infield is affiliated with the University of Strathclyde in the United Kingdom. Their research primarily focuses on engineering disciplines, with a notable concentration in electrical and electronic engineering, aerospace engineering, and control and systems engineering. Additional areas of study include safety, risk, reliability and quality, as well as artificial intelligence.

The scientist's main topics of work encompass:

  • Energy Load and Power Forecasting
  • Wind Energy Research and Development
  • Machine Fault Diagnosis Techniques
  • Power System Reliability and Maintenance
  • Advanced Multi-Objective Optimization Algorithms
  • Wind and Air Flow Studies
  • Gaussian Processes and Bayesian Inference

David Infield has contributed to several recent publications, including:

  • SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends, 2022, Wind Engineering
  • Gaussian process power curve models incorporating wind turbine operational variables, 2020, Energy Reports
  • Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data, 2020, Energies
  • Operational Variables for Improving Industrial Wind Turbine Yaw Misalignment Early Fault Detection Capabilities Using Data-Driven Techniques, 2021, IEEE Transactions on Instrumentation and Measurement
  • Current status and grand challenges for small wind turbine technology, 2022, Wind Energy Science

Frequent publication venues where their work appears include:

  • Renewable Energy
  • Energies
  • IET Renewable Power Generation
  • Zenodo (CERN European Organization for Nuclear Research)
  • Wind Engineering

Their research collaborations involve repeated partnerships with several co-authors, including:

  • Ravi Pandit
  • Athanasios Kolios
  • Peng Guo
  • Davide Astolfi
  • Matilde Santos

Best Publications

  • Energy storage and its use with intermittent renewable energy

    J.P. Barton;D.G. Infield

  • Domestic electricity use: A high-resolution energy demand model

    Ian Richardson;Ian Richardson;Murray Thomson;Murray Thomson;David Infield;Conor Clifford

  • Stabilization of Grid Frequency Through Dynamic Demand Control

    J.A. Short;D.G. Infield;L.L. Freris

  • Impact of widespread photovoltaics generation on distribution systems

    M. Thomson;D.G. Infield

  • Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

    Jinhua Zhang;Jie Yan;David Infield;Yongqian Liu

  • Modeling the Benefits of Vehicle-to-Grid Technology to a Power System

    Yuchao Ma;T. Houghton;A. Cruden;D. Infield

  • Predicting islanding operation of grid connected PV inverters

    G.A. Smith;P.A. Onions;D.G. Infield

  • Wind Turbine Generator Condition-Monitoring Using Temperature Trend Analysis

    Peng Guo;D. Infield;Xiyun Yang

  • Design optimization of thermoelectric devices for solar power generation

    S.A. Omer;D.G. Infield

  • Network power-flow analysis for a high penetration of distributed generation

    D.G. Infield;M. Thomson

  • Comparison of electrical energy efficiency of atmospheric and high-pressure electrolysers

    Amitava Roy;Simon Watson;David Infield

  • Power quality from multiple grid-connected single-phase inverters

    D.G. Infield;P. Onions;A.D. Simmons;G.A. Smith

  • A photovoltaic-powered seawater reverse-osmosis system without batteries

    Murray Thomson;David Infield

  • Application of Auto-Regressive Models to U.K. Wind Speed Data for Power System Impact Studies

    D. C. Hill;D. McMillan;K. R. W. Bell;D. Infield

  • A wind-powered seawater reverse-osmosis system without batteries

    Marcos S. Miranda;David Infield

  • The evolution of electricity demand and the role for demand side participation, in buildings and transport

    John P. Barton;Sikai Huang;David Infield;Matthew Leach

  • Smart control for minimizing distribution network reinforcement cost due to electrification

    Danny Pudjianto;Predrag Djapic;Marko Aunedi;Chin Kim Gan

  • Electrical integration of renewable energy into stand-alone power supplies incorporating hydrogen storage

    Matthew Little;Murray Thomson;David Infield

  • Experimental study of variations of the solar spectrum of relevance to thin film solar cells

    R. Gottschalg;D.G. Infield;M.J. Kearney

  • Towards an Assessment of Power System Frequency Support From Wind Plant—Modeling Aggregate Inertial Response

    Lei Wu;David G. Infield

  • Design and thermal analysis of a two stage solar concentrator for combined heat and thermoelectric power generation

    Siddig A. Omer;David G. Infield

Frequent Co-Authors

Andrew Cruden
Andrew Cruden University of Southampton
Ursula Eicker
Ursula Eicker Concordia University
Stephan Weiss
Stephan Weiss University of Strathclyde
Stuart Galloway
Stuart Galloway University of Strathclyde
Dan J. L. Brett
Dan J. L. Brett University College London
Iain Staffell
Iain Staffell Imperial College London
Adam Hawkes
Adam Hawkes Imperial College London
Nigel P. Brandon
Nigel P. Brandon Imperial College London
Goran Strbac
Goran Strbac Imperial College London
Ayodhya N. Tiwari
Ayodhya N. Tiwari Swiss Federal Laboratories for Materials Science and Technology

External Links

Personal website of David Infield Google Scholar page

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Related Online Degrees & Career Pathways

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Choosing schools with competency-based degrees can provide a personalized learning pace and focus on mastery of practical skills. The best competency-based colleges offer valuable options that align well with technology-driven careers.

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