World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
72
Citations
18859
World Ranking
913
National Ranking
25

Javier Contreras 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 Javier Contreras sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 289 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Javier Contreras 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 Javier Contreras sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 72 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to modeling and forecasting of electricity markets

Overview

Javier Contreras is affiliated with the University of Castilla-La Mancha in Spain and specializes in engineering, with a strong focus on electrical and electronic engineering. Their body of work involves research in multiple subfields including control and systems engineering, automotive engineering, management science and operations research, and safety, risk, reliability, and quality.

The main research topics covered by Javier include:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure
  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Integrated Energy Systems Optimization

Javier's recent scholarly contributions include the following papers:

  • The impact of electric vehicle charging schemes in power system expansion planning, 2020, Applied Energy
  • Risk-constrained self-scheduling of a hybrid power plant considering interval-based intraday demand response exchange market prices, 2020, Journal of Cleaner Production
  • An Enhanced MILP Model for Multistage Reliability-Constrained Distribution Network Expansion Planning, 2021, IEEE Transactions on Power Systems
  • Integrated Transmission and Distribution System Expansion Planning Under Uncertainty, 2021, IEEE Transactions on Smart Grid
  • Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model, 2021, Energy

Frequent co-authors in Javier's research include:

  • Gregorio Muñoz-Delgado
  • Benvindo Rodrigues Pereira
  • Wandry Rodrigues Faria
  • Matti Lehtonen
  • José M. Arroyo

Javier's publications have been disseminated in a variety of venues, particularly:

  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Energies
  • Applied Energy
  • Sustainable Energy Grids and Networks

Javier Contreras was recognized as an IEEE Fellow in 2015 for contributions to modeling and forecasting of electricity markets.

Best Publications

  • ARIMA models to predict next-day electricity prices

    Javier Contreras;Rosario Espinola;F. J. Nogales;Antonio J. Conejo

  • Forecasting next-day electricity prices by time series models

    F. J. Nogales;J. Contreras;A. J. Conejo;R. Espinola

  • A GARCH forecasting model to predict day-ahead electricity prices

    R.C. Garcia;J. Contreras;M. van Akkeren;J.B.C. Garcia

  • Forecasting electricity prices for a day-ahead pool-based electric energy market

    Antonio J. Conejo;Javier Contreras;Rosa Espínola;Miguel A. Plazas

  • Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage

    Rodolfo Dufo-López;José L. Bernal-Agustín;Javier Contreras

  • Self-scheduling of a hydro producer in a pool-based electricity market

    Antonio J. Conejo;Jose M. Arroyo;J. Contreras;Francisco A. Villamor

  • Numerical solutions to Nash-Cournot equilibria in coupled constraint electricity markets

    J. Contreras;M. Klusch;J.B. Krawczyk

  • A three-level static MILP model for generation and transmission expansion planning

    David Pozo;Enzo Sauma;Javier Contreras

  • Transmission Expansion Planning in Electricity Markets

    S. de la Torre;A.J. Conejo;J. Contreras

  • Unit commitment with ideal and generic energy storage units

    David Pozo;Javier Contreras;Enzo Sauma

  • Joint expansion planning of distributed generation and distribution networks

    Gregorio Munoz-Delgado;Javier Contreras;Jose M. Arroyo

  • Energy storage systems supporting increased penetration of renewables in islanded systems

    E.M.G. Rodrigues;E.M.G. Rodrigues;R. Godina;S.F. Santos;A.W. Bizuayehu

  • A kernel-oriented algorithm for transmission expansion planning

    J. Contreras;F.F. Wu

  • Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage—Part I: Stochastic Programming Model

    Miguel Asensio;Pilar Meneses de Quevedo;Gregorio Munoz-Delgado;Javier Contreras

  • Price maker self-scheduling in a pool-based electricity market: a mixed-integer LP approach

    S. De la Torre;J. M. Arroyo;A. J. Conejo;J. Contreras

  • Optimal distributed generation and reactive power allocation in electrical distribution systems

    Benvindo Pereira;Geraldo Roberto Martins da Costa;Javier Contreras;Jose Roberto Sanches Mantovani

  • Impact of Electric Vehicles on the Expansion Planning of Distribution Systems Considering Renewable Energy, Storage, and Charging Stations

    Pilar Meneses de Quevedo;Gregorio Munoz-Delgado;Javier Contreras

  • Coalition formation in transmission expansion planning

    J. Contreras;F.F. Wu

  • Distribution System Planning With Reliability

    R. C. Lotero;J. Contreras

  • Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability

    Gregorio Munoz-Delgado;Javier Contreras;Jose M. Arroyo

  • A Chance-Constrained Unit Commitment With an $n-K$ Security Criterion and Significant Wind Generation

    David Pozo;Javier Contreras

Frequent Co-Authors

Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Antonio J. Conejo
Antonio J. Conejo The Ohio State University
Jose M. Arroyo
Jose M. Arroyo University of Castilla-La Mancha
Jose Roberto Sanches Mantovani
Jose Roberto Sanches Mantovani Sao Paulo State University
Anastasios G. Bakirtzis
Anastasios G. Bakirtzis Aristotle University of Thessaloniki
José L. Bernal-Agustín
José L. Bernal-Agustín University of Zaragoza
Matti Lehtonen
Matti Lehtonen Aalto University
George Gross
George Gross University of Illinois at Urbana-Champaign
Felix F. Wu
Felix F. Wu University of Hong Kong

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