World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
12641
World Ranking
3024
National Ranking
32

WL Wil Kling 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 WL Wil Kling 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: 355 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

WL Wil Kling 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 WL Wil Kling 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: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

WL Wil Kling was affiliated with Eindhoven University of Technology in the Netherlands during their academic career. The scientist contributed to their field until their passing.

There are no recorded recent papers, co-authors, publication venues, book publications, main fields or subfields of study, or main topics of work available in the provided data for this scientist.

No awards or recognitions have been documented in the available information.

Given the limited publicly accessible data on publications or research topics, it is not possible to provide further details on WL Wil Kling's scientific contributions or research focus.

Best Publications

  • General model for representing variable speed wind turbines in power system dynamics simulations

    J. G. Slootweg;S. W. H. De Haan;H. Polinder;W. L. Kling

  • Dynamic modelling of a wind turbine with doubly fed induction generator

    J.G. Slootweg;H. Polinder;W.L. Kling

  • Deep learning for estimating building energy consumption

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

  • Characterisation of electrical energy storage technologies

    Helder Lopes Ferreira;Raquel Garde;Gianluca Fulli;Wil Kling

  • The impact of large scale wind power generation on power system oscillations

    J.G. Slootweg;W.L. Kling

  • Integration Issues of Distributed Generation in Distribution Grids

    E J Coster;J M A Myrzik;B Kruimer;W L Kling

  • Representing wind turbine electrical generating systems in fundamental frequency simulations

    J.G. Slootweg;H. Polinder;W.L. Kling

  • Impacts of distributed generation on power system transient stability

    J.G. Slootweg;W.L. Kling

  • Integration of stochastic generation in power systems

    G Papaefthymiou;PH Schavemaker;van der L Lou Sluis;WL Wil Kling;WL Wil Kling

  • Usefulness of DC power flow for active power flow analysis with flow controlling devices

    D Van Hertem;J Verboomen;K Purchala;R Belmans

  • Operating Reserves and Wind Power Integration: An International Comparison

    M Milligan;P Donohoo;D Lew;E Ela

  • Integration of large-scale wind power and use of energy storage in the netherlands' electricity supply

    Unknown

  • 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

  • Modeling of large wind farms in power system simulations

    J.G. Slootweg;W.L. Kling

  • A methodology for modeling the behavior of electricity prosumers within the smart grid

    Ioannis Lampropoulos;Greet M. A. Vanalme;Wil L. Kling

  • Is the answer blowing in the wind

    J.G. Slootweg;W.L. Kling

  • Modeling wind turbines in power system dynamics simulations

    J.G. Slootweg;S.W.H. de Haan;H. Polinder;W.L. Kling

  • Impacts of distributed generation penetration levels on power systems transient stability

    M. Reza;P.H. Schavemaker;J.G. Slootweg;W.L. Kling

  • Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

    Subodh Paudel;Subodh Paudel;Mohamed Elmtiri;Wil L. Kling;Olivier Le Corre

  • 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

  • Virtual power plants: An answer to increasing distributed generation

    K. El Bakari;W. L. Kling

Frequent Co-Authors

Madeleine Gibescu
Madeleine Gibescu Utrecht University
Phuong H. Nguyen
Phuong H. Nguyen Eindhoven University of Technology
J.G. Slootweg
J.G. Slootweg Eindhoven University of Technology
Henk Polinder
Henk Polinder Delft University of Technology
Jan Abraham Ferreira
Jan Abraham Ferreira University of Twente
S.W.H. de Haan
S.W.H. de Haan Delft University of Technology
João Peças Lopes
João Peças Lopes University of Porto
Lennart Söder
Lennart Söder Royal Institute of Technology

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