World's Best Scientists 2026 revealed!
Madeleine Gibescu

Madeleine Gibescu

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
7116
World Ranking
7955
National Ranking
157

Madeleine Gibescu 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 Madeleine Gibescu sits on this spectrum.

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 publications 804+

This scientist: 221 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Madeleine Gibescu 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 Madeleine Gibescu sits on this spectrum.

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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Madeleine Gibescu is affiliated with Utrecht University in the Netherlands and conducts research primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering. Their work also spans Control and Systems Engineering, Computer Networks and Communications, Renewable Energy, Sustainability and the Environment, and Artificial Intelligence.

The research topics covered by Gibescu include Smart Grid Energy Management, Electric Power System Optimization, Smart Grid Security and Resilience, Software-Defined Networks and 5G, Microgrid Control and Optimization, Optimal Power Flow Distribution, and Integrated Energy Systems Optimization.

Recent papers authored or co-authored by Gibescu include:

  • An integrated blockchain-based energy management platform with bilateral trading for microgrid communities, 2020, Applied Energy
  • A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty, 2020, IEEE Transactions on Smart Grid
  • Integrated Transmission and Distribution System Expansion Planning Under Uncertainty, 2021, IEEE Transactions on Smart Grid
  • Short term wholesale electricity market designs: A review of identified challenges and promising solutions, 2022, Renewable and Sustainable Energy Reviews
  • A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction, 2020, IEEE Transactions on Power Systems

Frequent co-authors who have collaborated on multiple occasions with Gibescu are:

  • Elena Fumagalli
  • Matteo Gazzani
  • Lina Silva-Rodriguez
  • Anibal Sanjab
  • Nadine Kabbara

Gibescu's work has been published across various venues, with several repeated publications in:

  • SSRN Electronic Journal
  • Applied Energy
  • arXiv (Cornell University)
  • Energies
  • Sustainable Energy Grids and Networks

Best Publications

  • Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch

    B.C. Ummels;M. Gibescu;E. Pelgrum;W.L. Kling

  • Deep learning for estimating building energy consumption

    E Elena Mocanu;HP Phuong Nguyen;M Madeleine Gibescu;WL Wil Kling

  • On-Line Building Energy Optimization Using Deep Reinforcement Learning

    Elena Mocanu;Decebal Constantin Mocanu;Phuong H. Nguyen;Antonio Liotta

  • Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

    Decebal Constantin Mocanu;Elena Mocanu;Peter Stone;Phuong H. Nguyen

  • An integrated blockchain-based energy management platform with bilateral trading for microgrid communities

    Gijs van Leeuwen;Tarek AlSkaif;Madeleine Gibescu;Wilfried van Sark

  • Operating Reserves and Wind Power Integration: An International Comparison

    M Milligan;P Donohoo;D Lew;E Ela

  • Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

    E Elena Mocanu;HP Phuong Nguyen;WL Wil Kling;M Madeleine Gibescu

  • Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model

    Arpit Maheshwari;Nikolaos G. Paterakis;Massimo Santarelli;Madeleine Gibescu

  • A review of multi-energy system planning and optimization tools for sustainable urban development

    I. van Beuzekom;M. Gibescu;J.G. Slootweg

  • Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids

    E Else Veldman;M Madeleine Gibescu;JG Han Slootweg;WL Wil Kling

  • Deep learning versus traditional machine learning methods for aggregated energy demand prediction

    Nikolaos G. Paterakis;Elena Mocanu;Madeleine Gibescu;Bart Stappers

  • Local market framework for exploiting flexibility from the end users

    Shahab Shariat Torbaghan;Niels Blaauwbroek;Phuong Nguyen;Madeleine Gibescu

  • Advanced Hybrid Transient Stability and EMT Simulation for VSC-HVDC Systems

    Arjen A. van der Meer;Madeleine Gibescu;Mart A. M. M. van der Meijden;Wil L. Kling

  • A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty

    Jose Luis Crespo-Vazquez;Tarek AlSkaif;Angel Manuel Gonzalez-Rueda;Madeleine Gibescu

  • A topological insight into restricted Boltzmann machines

    Decebal Constantin Mocanu;Elena Mocanu;Phuong H. Nguyen;Madeleine Gibescu

  • Bottom-up Markov Chain Monte Carlo approach for scenario based residential load modelling with publicly available data

    M Michiel Nijhuis;M Madeleine Gibescu;Jfg Sjef Cobben

  • Short-term energy balancing with increasing levels of wind energy

    Juha Kiviluoma;Peter Meibom;Aidan Tuohy;Niamh Troy

  • Estimation of variability and predictability of large‐scale wind energy in The Netherlands

    Madeleine Gibescu;Arno J. Brand;Wil L. Kling

  • The Effect of FRT Behavior of VSC-HVDC-Connected Offshore Wind Power Plants on AC/DC System Dynamics

    Arjen A. van der Meer;Mario Ndreko;Madeleine Gibescu;Mart A. M. M. van der Meijden

  • A market-based framework for demand side flexibility scheduling and dispatching

    Shahab Shariat Torbaghan;Niels Blaauwbroek;Dirk Kuiken;Madeleine Gibescu

  • Enabling Cooperative Behavior for Building Demand Response Based on Extended Joint Action Learning

    Luis A. Hurtado;Elena Mocanu;Phuong H. Nguyen;Madeleine Gibescu

  • Assessment of the impacts of the renewable energy and ICT driven energy transition on distribution networks

    M Michiel Nijhuis;M Madeleine Gibescu;Jfg Sjef Cobben

Frequent Co-Authors

WL Wil Kling
WL Wil Kling Eindhoven University of Technology
J.G. Slootweg
J.G. Slootweg Eindhoven University of Technology
Phuong H. Nguyen
Phuong H. Nguyen Eindhoven University of Technology
Nikolaos G. Paterakis
Nikolaos G. Paterakis Eindhoven University of Technology
Antonio Liotta
Antonio Liotta Free University of Bozen-Bolzano
Jan Abraham Ferreira
Jan Abraham Ferreira University of Twente
Mark O'Malley
Mark O'Malley Imperial College London
Michael Milligan
Michael Milligan National Renewable Energy Laboratory
Peter Stone
Peter Stone The University of Texas at Austin
Huub H.M. Rijnaarts
Huub H.M. Rijnaarts Wageningen University & Research

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