World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
77
Citations
24550
World Ranking
646
National Ranking
11

Pierre Pinson 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 Pierre Pinson 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: 411 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Pierre Pinson 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 Pierre Pinson 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: 77 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Pierre Pinson is affiliated with the Technical University of Denmark in Denmark. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering as well as interdisciplinary areas such as artificial intelligence, management science and operations research, control and systems engineering, and economics and econometrics.

The main topics covered in their work include:

  • Electric Power System Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Integrated Energy Systems Optimization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Privacy-Preserving Technologies in Data

They have published extensively, contributing to several prominent publication venues. Frequently appearing venues include:

  • arXiv (Cornell University)
  • International Journal of Forecasting
  • IEEE Transactions on Sustainable Energy
  • Electric Power Systems Research
  • IEEE Transactions on Power Systems

Some of the recent papers associated with topics relevant to their fields of research are:

  • Forecasting: theory and practice, 2022, BOA (University of Milano-Bicocca)
  • Energy Forecasting: A Review and Outlook, 2020, IEEE Open Access Journal of Power and Energy
  • Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty, 2020, IEEE Transactions on Smart Grid
  • Energy and reserve dispatch with distributionally robust joint chance constraints, 2021, Operations Research Letters
  • Mechanism Design for Fair and Efficient DSO Flexibility Markets, 2021, IEEE Transactions on Smart Grid

In their collaborations, Pierre Pinson has frequently co-authored with several researchers, including:

  • Jalal Kazempour (32 publications)
  • Ricardo J. Bessa (13 publications)
  • Richard Martin Lusby (10 publications)
  • Georges Kariniotakis (9 publications)
  • Vladimir Dvorkin (7 publications)

Best Publications

  • Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond

    Tao Hong;Pierre Pinson;Shu Fan;Hamidreza Zareipour

  • Peer-to-peer and community-based markets: A comprehensive review

    Tiago M. Sousa;Tiago Soares;Pierre Pinson;Fabio Moret

  • Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine

    Can Wan;Zhao Xu;Pierre Pinson;Zhao Yang Dong

  • Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power

    P. Pinson;C. Chevallier;G.N. Kariniotakis

  • Benefits and challenges of electrical demand response: A critical review

    Niamh O׳Connell;Pierre Pinson;Henrik Madsen;Mark O׳Malley

  • Integrating Renewables in Electricity Markets: Operational Problems

    Juan Miguel Morales González;Antonio J. Conejo;Henrik Madsen;Pierre Pinson

  • Global Energy Forecasting Competition 2012

    Tao Hong;Pierre Pinson;Shu Fan

  • From probabilistic forecasts to statistical scenarios of short-term wind power production

    Pierre Pinson;Henrik Madsen;Henrik Aa. Nielsen;George Papaefthymiou

  • Energy forecasting: A review and outlook

    Tao Hong;Pierre Pinson;Yi Wang;Rafał Weron

  • Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

    Guannan He;Qixin Chen;Chongqing Kang;Pierre Pinson

  • Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models:

    Henrik Madsen;Pierre Pinson;Georges Kariniotakis;Henrik Aa. Nielsen

  • Consensus-Based Approach to Peer-to-Peer Electricity Markets With Product Differentiation

    Etienne Sorin;Lucien Bobo;Pierre Pinson

  • Energy Collectives: A Community and Fairness Based Approach to Future Electricity Markets

    Fabio Moret;Pierre Pinson

  • On the market impact of wind energy forecasts

    Tryggvi Jónsson;Pierre Pinson;Henrik Madsen

  • A bilevel model for electricity retailers' participation in a demand response market environment

    Marco Zugno;Juan Miguel Morales;Pierre Pinson;Henrik Madsen

  • Non‐parametric probabilistic forecasts of wind power: required properties and evaluation

    Pierre Pinson;Henrik Aa. Nielsen;Jan K. Møller;Henrik Madsen

  • Wind Energy: Forecasting Challenges for Its Operational Management

    Pierre Pinson

  • Conditional Prediction Intervals of Wind Power Generation

    P Pinson;G Kariniotakis

  • Optimal Prediction Intervals of Wind Power Generation

    Can Wan;Zhao Xu;Pierre Pinson;Zhao Yang Dong

  • Estimation of the uncertainty in wind power forecasting

    Pierre Pinson

Frequent Co-Authors

Henrik Madsen
Henrik Madsen Technical University of Denmark
Georges Kariniotakis
Georges Kariniotakis Mines ParisTech
Ricardo J. Bessa
Ricardo J. Bessa University of Porto
William J. Shaw
William J. Shaw Pacific Northwest National Laboratory
Poul Ejnar Sørensen
Poul Ejnar Sørensen Technical University of Denmark
Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Antonio J. Conejo
Antonio J. Conejo The Ohio State University
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Hoay Beng Gooi
Hoay Beng Gooi Nanyang Technological University
Mark O'Malley
Mark O'Malley Imperial College London

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