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David A. Howey

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 46 5055 4864 334 314 154 11707

David A. Howey publications per year

The chart shows the history of publications by David A. Howey between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David A. Howey published across 17 years, from 2009 to 2025, averaging 12.8 papers a year. Output peaked at 21 publications in 2015. 32 of the 218 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2015. 2009: 3 publications 2010: 7 publications 2011: 8 publications 2012: 5 publications 2013: 9 publications 2014: 4 publications 2015: 21 publications 2016: 20 publications 2017: 18 publications 2018: 10 publications 2019: 17 publications 2020: 15 publications 2021: 17 publications 2022: 16 publications 2023: 16 publications 2024: 17 publications 2025: 15 publications
2009 2025

218 publications in total across all disciplines

View publications per year as a table
David A. Howey: publications per year, 2009 to 2025
Year Publications
2009 3
2010 7
2011 8
2012 5
2013 9
2014 4
2015 21
2016 20
2017 18
2018 10
2019 17
2020 15
2021 17
2022 16
2023 16
2024 17
2025 15
Total 218
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David A. Howey publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where David A. Howey sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 154
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

David A. Howey D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where David A. Howey sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 46 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301 46
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

David A. Howey is affiliated with the University of Oxford in the United Kingdom and has a significant focus on engineering, particularly in electrical and electronic engineering, automotive engineering, and control and systems engineering. Their research spans the intersection of advanced battery technologies, electric vehicles, and energy management.

The scientist has contributed extensively to the field of advanced battery research, with 180 publications categorized under engineering and numerous subfields including:

  • Electrical and Electronic Engineering
  • Automotive Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Their work primarily revolves around topics such as:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Smart Grid Energy Management
  • Reliability and Maintenance Optimization

David A. Howey has published frequently in several key venues, demonstrating their active engagement with the academic battery and energy community. These venues include:

  • arXiv (Cornell University)
  • ECS Meeting Abstracts
  • Joule
  • Journal of The Electrochemical Society
  • Batteries & Supercaps

Some of the recent papers authored or co-authored by David A. Howey include:

  • "Review-"Knees" in Lithium-Ion Battery Aging Trajectories" (2022, Journal of The Electrochemical Society)
  • "Online capacity estimation of lithium-ion batteries with deep long short-term memory networks" (2020, Journal of Power Sources)
  • "The challenge and opportunity of battery lifetime prediction from field data" (2021, Joule)
  • "One-shot battery degradation trajectory prediction with deep learning" (2021, Journal of Power Sources)
  • "Automated Feature Extraction and Selection for Data-Driven Models of Rapid Battery Capacity Fade and End of Life" (2021, IEEE Transactions on Industrial Informatics)

Collaboration is a notable aspect of their research, with frequent co-authors including Philipp Dechent, Charles W. Monroe, Samuel Greenbank, Dirk Uwe Sauer, and Volkan Kumtepeli, each contributing to multiple joint publications.

Best Publications

  • Degradation diagnostics for lithium ion cells

    Christoph R. Birkl;Matthew R. Roberts;Euan McTurk;Euan McTurk;Peter G. Bruce

  • Comparative analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system

    G.J. Offer;D.A. Howey;M. Contestabile;R. Clague

  • Gaussian process regression for forecasting battery state of health

    Robert R. Richardson;Michael A. Osborne;David A. Howey

  • Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries

    Jorn M. Reniers;Grietus Mulder;David A. Howey

  • Battery warm-up methodologies at subzero temperatures for automotive applications: recent advances and perspectives

    Xiaosong Hu;Yusheng Zheng;David A. Howey;Hector Perez

  • Air-Gap Convection in Rotating Electrical Machines

    D. A. Howey;P. R. N. Childs;A. S. Holmes

  • Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries

    Robert R. Richardson;Christoph R. Birkl;Michael A. Osborne;David A. Howey

  • Battery health prediction under generalized conditions using a Gaussian process transition model

    Robert R. Richardson;Michael A. Osborne;David A. Howey

  • Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

    Weihan Li;Neil Sengupta;Philipp Dechent;David Howey

  • The challenge and opportunity of battery lifetime prediction from field data

    Valentin Sulzer;Peyman Mohtat;Antti Aitio;Suhak Lee

  • Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter

    Adrien M. Bizeray;Shi Zhao;Stephen R. Duncan;David A. Howey

  • Battery internal temperature estimation by combined impedance and surface temperature measurement

    Robert R. Richardson;Peter T. Ireland;David A. Howey

  • Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model

    Adrien M. Bizeray;Jin-Ho Kim;Stephen R. Duncan;David A. Howey

  • Online Measurement of Battery Impedance Using Motor Controller Excitation

    David A. Howey;Paul D. Mitcheson;Vladimir Yufit;Gregory J. Offer

  • Module design and fault diagnosis in electric vehicle batteries

    Gregory J. Offer;Vladimir Yufit;David A. Howey;Billy Wu

  • One-shot battery degradation trajectory prediction with deep learning

    Weihan Li;Neil Sengupta;Philipp Dechent;David Howey

  • A Parametric Open Circuit Voltage Model for Lithium Ion Batteries

    C. R. Birkl;E. McTurk;M. R. Roberts;P. G. Bruce

  • Sensorless Battery Internal Temperature Estimation Using a Kalman Filter With Impedance Measurement

    Robert R. Richardson;David A. Howey

  • Design and performance of a centimetre-scale shrouded wind turbine for energy harvesting

    David A. Howey;Anshu Bansal;Andrew S. Holmes

  • Automated feature extaction and selection for data-driven models of rapid battery capacity fade and end of life

    Samuel Greenbank;David Howey

  • Time-domain fitting of battery electrochemical impedance models

    S.M.M. Alavi;C.R. Birkl;D.A. Howey

Frequent Co-Authors

Malcolm McCulloch
Malcolm McCulloch University of Oxford
Dirk Uwe Sauer
Dirk Uwe Sauer RWTH Aachen University
Andrew S. Holmes
Andrew S. Holmes Imperial College London
Nigel P. Brandon
Nigel P. Brandon Imperial College London
Gregory J. Offer
Gregory J. Offer Imperial College London
Peter G. Bruce
Peter G. Bruce University of Oxford
Ricardo Martinez-Botas
Ricardo Martinez-Botas Imperial College London
Venkatasubramanian Viswanathan
Venkatasubramanian Viswanathan Carnegie Mellon University
Vladimir Yufit
Vladimir Yufit Imperial College London
Paul D. Mitcheson
Paul D. Mitcheson Imperial College London

External Links

Personal website of David A. Howey Google Scholar page

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