World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
5063
World Ranking
5371
National Ranking
274

Phil Taylor 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 Phil Taylor sits on this spectrum.

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 publications 1,065+

This scientist: 158 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Phil Taylor 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 Phil Taylor sits on this spectrum.

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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Phil Taylor is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on engineering, with a specific concentration on electrical and electronic engineering as well as control and systems engineering. Their work also spans the subfields of energy engineering and power technology, renewable energy, sustainability and the environment, and aspects of safety, risk, reliability, and quality.

The scientist's main topics of research include:

  • Optimal Power Flow Distribution
  • Integrated Energy Systems Optimization
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Hybrid Renewable Energy Systems
  • Power System Reliability and Maintenance
  • Energy Harvesting in Wireless Networks

Phil Taylor has contributed extensively to the academic literature in these domains. Some of their recent publications include:

  • Optimization of Fuzzy Energy-Management System for Grid-Connected Microgrid Using NSGA-II, 2020, IEEE Transactions on Cybernetics
  • A Robust Mixed-Integer Convex Model for Optimal Scheduling of Integrated Energy Storage-Soft Open Point Devices, 2022, IEEE Transactions on Smart Grid
  • Peer-to-peer energy trading for improving economic and resilient operation of microgrids, 2022, Renewable Energy
  • MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model, 2020, IEEE Transactions on Smart Grid
  • Optimal planning and operation of multi-vector energy networks: A systematic review, 2020, Renewable and Sustainable Energy Reviews

The venues where Phil Taylor frequently publishes are:

  • International Journal of Electrical Power & Energy Systems
  • Applied Energy
  • arXiv (Cornell University)
  • IET conference proceedings
  • IEEE Transactions on Smart Grid

The scientist has collaborated often with a number of coauthors, including:

  • David Greenwood
  • Matthew Deakin
  • Sara Walker
  • Charalampos Patsios
  • Adib Allahham

Best Publications

  • Evaluating the benefits of an electrical energy storage system in a future smart grid

    N.S. Wade;P.C. Taylor;P.D. Lang;P.R. Jones

  • Review on the optimal placement, sizing and control of an energy storage system in the distribution network

    Ling Ai Wong;Vigna Kumaran Ramachandaramurthy;Phil Taylor;Phil Taylor;J. B. Ekanayake

  • Frequency Response Services Designed for Energy Storage

    D.M. Greenwood;K.Y. Lim;C. Patsios;P.F. Lyons

  • A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

    Myriam Neaimeh;Robin Wardle;Andrew M. Jenkins;Jialiang Yi

  • Energy Storage System for Mitigating Voltage Unbalance on Low-Voltage Networks With Photovoltaic Systems

    K. H. Chua;Yun Seng Lim;P. Taylor;S. Morris

  • Predicting the technical impacts of high levels of small-scale embedded generators on low-voltage networks

    P. Trichakis;P.C. Taylor;P.F. Lyons;R. Hair

  • Sizing of residential μCHP systems

    O.A. Shaneb;G. Coates;P.C. Taylor

  • Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm

    Ling Ai Wong;Vigna K. Ramachandaramurthy;Sara L. Walker;Phil Taylor

  • An international review of the implications of regulatory and electricity market structures on the emergence of grid scale electricity storage

    Oghenetejiri Harold Anuta;Phil Taylor;Darren Jones;Tony McEntee

  • Coordination of Multiple Energy Storage Units in a Low-Voltage Distribution Network

    Unknown

  • Investigation of the reverse power flow requirements of high penetrations of small-scale embedded generation

    Liana Mirela Cipcigan;P. C. Taylor

  • Optimization of Fuzzy Energy-Management System for Grid-Connected Microgrid Using NSGA-II

    Tiong Teck Teo;Thillainathan Logenthiran;Wai Lok Woo;Khalid Abidi

  • An integrated approach for the analysis and control of grid connected energy storage systems

    Charalampos Patsios;Billy Wu;Efstratios Chatzinikolaou;Daniel J. Rogers

  • Integration of hydrogen energy technologies in stand-alone power systems analysis of the current potential for applications

    E.I. Zoulias;R. Glockner;N. Lymberopoulos;T. Tsoutsos;T. Tsoutsos

  • Integrating Electrical Energy Storage Into Coordinated Voltage Control Schemes for Distribution Networks

    Unknown

  • Voltage Control Techniques for Electrical Distribution Networks Including Distributed Generation

    Unknown

  • Distributed load control of autonomous renewable energy systems

    K. Pandiaraj;P. Taylor;N. Jenkins;C. Robb

  • A Resilience-Based Architecture for Joint Distributed Energy Resources Allocation and Hourly Network Reconfiguration

    Ehsan Kianmehr;Saman Nikkhah;Vahid Vahidinasab;Damian Giaouris

  • Optimal online operation of residential μCHP systems using linear programming

    O.A. Shaneb;P.C. Taylor;G. Coates

  • A Robust Mixed-Integer Convex Model for Optimal Scheduling of Integrated Energy Storage—Soft Open Point Devices

    Unknown

  • Peer-to-peer energy trading for improving economic and resilient operation of microgrids

    Unknown

  • Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability

    David M. Greenwood;Phil C. Taylor

  • Coordinated output control of multiple distributed generation schemes

    S.C.E. Jupe;P.C. Taylor;A. Michiorri

  • Deadbands, Droop, and Inertia Impact on Power System Frequency Distribution

    Petr Vorobev;David M. Greenwood;John H. Bell;Janusz W. Bialek

  • Load control of a wind-hydrogen stand-alone power system.

    Harald Miland;Ronny Glöckner;Phil Taylor;Rolf Jarle Aaberg

  • Investigation into the influence of environmental conditions on power system ratings

    Andrea Michiorri;P. C. Taylor;S. C. E. Jupe;C. J. Berry

Frequent Co-Authors

Vahid Vahidinasab
Vahid Vahidinasab University of Salford
Stephen McArthur
Stephen McArthur University of Strathclyde
Vigna K. Ramachandaramurthy
Vigna K. Ramachandaramurthy Universiti Tenaga Nasional
Theocharis Tsoutsos
Theocharis Tsoutsos Technical University of Crete
Jamshid Aghaei
Jamshid Aghaei Central Queensland University
Tim C. Green
Tim C. Green Imperial College London
Nick Jenkins
Nick Jenkins Cardiff University
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Nigel P. Brandon
Nigel P. Brandon Imperial College London

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