World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5009
World Ranking
11323
National Ranking
209

Rui Castro publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Rui Castro sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Rui Castro D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Rui Castro sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Rui Castro is affiliated with Eindhoven University of Technology in the Netherlands. Their research primarily lies within the broad field of Engineering, with a significant focus on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Control and Systems Engineering, and Artificial Intelligence.

The scientist has contributed extensively to topics related to energy systems and management. Their main research areas include Smart Grid Energy Management, Hybrid Renewable Energy Systems, Microgrid Control and Optimization, Integrated Energy Systems Optimization, Electric Vehicles and Infrastructure, Electric Power System Optimization, and Energy and Environment Impacts.

Rui Castro has published numerous papers, with notable recent works including:

  • Recent Developments on Hydrogen Production Technologies: State-of-the-Art Review with a Focus on Green-Electrolysis (2021, Applied Sciences)
  • Hydrogen Production from Offshore Wind Parks: Current Situation and Future Perspectives (2021, Applied Sciences)
  • Preserving Privacy of Smart Meter Data in a Smart Grid Environment (2021, IEEE Transactions on Industrial Informatics)
  • Operation of a Technical Virtual Power Plant Considering Diverse Distributed Energy Resources (2022, IEEE Transactions on Industry Applications)
  • Blockchain-Based Transactive Energy Framework for Connected Virtual Power Plants (2021, IEEE Transactions on Industry Applications)

The scientist's frequent collaborators include Matthew Gough, João P. S. Catalào, A. J. Pires, Sérgio F. Santos, and Mohammad Sadegh Javadi.

Rui Castro has published extensively in several journals and venues. The most frequent publication venues are:

  • Energies (17 publications)
  • Applied Sciences (4 publications)
  • Sustainability (4 publications)
  • Journal of Energy Storage (3 publications)
  • Electronics (3 publications)

Best Publications

  • Network Tomography: Recent Developments

    Rui Castro;Mark Coates;Gang Liang;Robert Nowak

  • Maximum likelihood network topology identification from edge-based unicast measurements

    Mark Coates;Rui Castro;Robert Nowak;Manik Gadhiok

  • Minimax Bounds for Active Learning

    R.M. Castro;R.D. Nowak

  • Faster Rates in Regression via Active Learning

    Rebecca Willett;Robert Nowak;Rui M. Castro

  • Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation

    J. Haupt;R. M. Castro;R. Nowak

  • Economic assessment of residential PV systems with self-consumption and storage in Portugal

    Fernando M. Camilo;Rui Castro;M.E. Almeida;V. Fernão Pires

  • Compressive Sampling for Signal Classification

    J. Haupt;R. Castro;R. Nowak;G. Fudge

  • A Comparison Between Chronological and Probabilistic Methods to Estimate Wind Power Capacity Credit

    R.M.G. Castro;L.A.F.M. Ferreira

  • Likelihood based hierarchical clustering

    R.M. Castro;M.J. Coates;R.D. Nowak

  • A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers

    Mohammad Ali Fotouhi Ghazvini;João Soares;Nuno Horta;Rui Neves

  • Wind Speed and Wind Power Forecasting using Statistical Models: AutoRegressive Moving Average (ARMA) and Artificial Neural Networks (ANN)

    Pedro Gomes;Rui Castro

  • Preserving Privacy of Smart Meter Data in a Smart Grid Environment

    Matthew B. Gough;Sergio F. Santos;Tarek AlSkaif;Mohammad S. Javadi

  • Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements

    Jarvis D. Haupt;Richard G. Baraniuk;Rui M. Castro;Robert D. Nowak

  • Congestion management in active distribution networks through demand response implementation

    Mohammad Ali Fotouhi Ghazvini;Gianluca Lipari;Marco Pau;Ferdinanda Ponci

  • Smart Grids in the EU with smart regulation: Experiences from the UK, Italy and Portugal

    João Crispim;José Braz;Rui Castro;Jorge Esteves

  • Human Active Learning

    Rui M. Castro;Charles Kalish;Robert Nowak;Ruichen Qian

  • Adaptive Sensing for Sparse Signal Recovery

    Jarvis Haupt;Robert Nowak;Rui Castro

  • Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

    Bo Chen;Andreas Krause;Rui M. Castro

  • Sequentially designed compressed sensing

    Jarvis Haupt;Richard Baraniuk;Rui Castro;Robert Nowak

  • Blockchain-based Transactive Energy Framework for Connected Virtual Power Plants

    Matthew Gough;Sergio F. Santos;Artur Almeida;Mohamed Lotfi

  • A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

    Tiago Sousa;Hugo Morais;Zita Vale;Rui Castro

  • Finding needles in noisy haystacks

    R.M. Castro;J. Haupt;R. Nowak;G.M. Raz

Frequent Co-Authors

Robert Nowak
Robert Nowak University of Wisconsin–Madison
Zita Vale
Zita Vale Polytechnic Institute of Porto
Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Ana Estanqueiro
Ana Estanqueiro National Laboratory of Energy and Geology
Remco van der Hofstad
Remco van der Hofstad Eindhoven University of Technology
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Joao Soares
Joao Soares International Student Exchange Programs
Mark Coates
Mark Coates McGill University
Ery Arias-Castro
Ery Arias-Castro University of California, San Diego
V. Fernao Pires
V. Fernao Pires Universidade Nova de Lisboa

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