World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
19069
World Ranking
3790
National Ranking
85

Computer Science

D-Index
43
Citations
18964
World Ranking
7746
National Ranking
75

Damien Ernst 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 Damien Ernst 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: 277 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Damien Ernst 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 Damien Ernst 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: 43 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Damien Ernst is affiliated with the University of Liège in Belgium and has contributed extensively to research in engineering and computer science, with a particular focus on electrical and electronic engineering as well as artificial intelligence. Their work spans subfields including cognitive neuroscience, management science and operations research, and renewable energy, sustainability, and the environment.

Ernst's research covers several main topics, reflecting a diverse engagement with energy systems and intelligent control methodologies:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Reinforcement Learning in Robotics
  • Integrated Energy Systems Optimization
  • Energy Load and Power Forecasting
  • Optimal Power Flow Distribution
  • Neural dynamics and brain function

Some of the recent papers authored or co-authored by Damien Ernst include:

  • The impact of different COVID-19 containment measures on electricity consumption in Europe, 2020, published in Energy Research & Social Science
  • A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding, 2021, published in Open Repository and Bibliography (University of Liège)
  • The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies, 2020, published in Electric Power Systems Research
  • Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems, 2021, published in Energy and AI
  • S1 File -, 2020, published in OPAL (Open@LaTrobe) (La Trobe University)

Frequently collaborating with other researchers, Damien Ernst works closely with Adrien Bolland, Mathias Berger, Thibaut Théate, Ioannis Boukas, and David Radu. These collaborations have contributed to advancing knowledge within their fields of study.

Key venues for Damien Ernst's research publications include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • Applied Energy
  • SSRN Electronic Journal

The scientific output of Damien Ernst consists mostly of articles in highly specialized journals and repositories, evidencing a focus on interdisciplinary approaches to energy systems, artificial intelligence applications, and engineering challenges.

Best Publications

  • Extremely randomized trees

    Pierre Geurts;Damien Ernst;Louis Wehenkel

  • Tree-Based Batch Mode Reinforcement Learning

    Damien Ernst;Pierre Geurts;Louis Wehenkel

  • Reinforcement Learning and Dynamic Programming Using Function Approximators

    Lucian Busoniu;Robert Babuska;Bart De Schutter;Damien Ernst

  • Transient Stability of Power Systems: A Unified Approach to Assessment and Control

    Mania Pavella;Damien Ernst;Daniel Ruiz-Vega

  • Transient Stability of Power Systems

    Mania Pavella;Damien Ernst;Daniel Ruiz-Vega

  • Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

    Frederic Olivier;Petros Aristidou;Damien Ernst;Thierry Van Cutsem

  • Power systems stability control: reinforcement learning framework

    D. Ernst;M. Glavic;L. Wehenkel

  • Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem

    D. Ernst;M. Glavic;F. Capitanescu;L. Wehenkel

  • Contingency Filtering Techniques for Preventive Security-Constrained Optimal Power Flow

    F. Capitanescu;M. Glavic;D. Ernst;L. Wehenkel

  • Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives

    Mevludin Glavic;Raphaël Fonteneau;Damien Ernst

  • The impact of different COVID-19 containment measures on electricity consumption in Europe

    Alireza Bahmanyar;Abouzar Estebsari;Damien Ernst

  • Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market

    Stijn Vandael;Bert Claessens;Damien Ernst;Tom Holvoet

  • Interior-point based algorithms for the solution of optimal power flow problems

    Florin Capitanescu;Mevludin Glavic;Damien Ernst;Louis Wehenkel

  • The Global Grid

    Spyros Chatzivasileiadis;Damien Ernst;Göran Andersson

  • An application of deep reinforcement learning to algorithmic trading

    Thibaut Théate;Damien Ernst

  • Clinical data based optimal STI strategies for HIV: a reinforcement learning approach

    Damien Ernst;Guy-Bart Stan;Jorge Goncalves;Louis Wehenkel

  • Deep Reinforcement Learning Solutions for Energy Microgrids Management

    Vincent François-Lavet;David Taralla;Damien Ernst;Raphaël Fonteneau

  • A comparison of Nash equilibria analysis and agent-based modelling for power markets

    Thilo Krause;Elena Vdovina Beck;Rachid Cherkaoui;Alain Germond

  • A Unified Approach to Transient Stability Contingency Filtering, Ranking, and Assessment

    D. Ernst;D. Ruiz-Vega;M. Pavella;P.M. Hirsch

  • Coordinated primary frequency control among non-synchronous systems connected by a multi-terminal high-voltage direct current grid

    Jing Dai;Yannick Phulpin;Alain Sarlette;Damien Ernst

Frequent Co-Authors

Louis Wehenkel
Louis Wehenkel University of Liège
Robert Babuska
Robert Babuska Delft University of Technology
Bart De Schutter
Bart De Schutter Delft University of Technology
Pierre Geurts
Pierre Geurts University of Liège
Guy-Bart Stan
Guy-Bart Stan Imperial College London
Miroslav Begovic
Miroslav Begovic Texas A&M University
Florin Capitanescu
Florin Capitanescu Luxembourg Institute of Science and Technology
Rachid Cherkaoui
Rachid Cherkaoui École Polytechnique Fédérale de Lausanne
Mauricio Barahona
Mauricio Barahona Imperial College London

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