World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4453
World Ranking
10921
National Ranking
4540

Joao Soares 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 Joao Soares 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Joao Soares 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 Joao Soares 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Joao Soares is affiliated with International Student Exchange Programs in the United States. Their research activity is primarily situated within the field of Engineering, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Automotive Engineering. Additional subfields of work include Renewable Energy, Sustainability and the Environment, as well as Building and Construction.

The scientist's work consistently addresses topics related to the management and optimization of electrical energy systems. Key areas of research comprise Smart Grid Energy Management, Electric Vehicles and Infrastructure, Microgrid Control and Optimization, Advanced Battery Technologies Research, Electric Power System Optimization, Optimal Power Flow Distribution, and Energy Load and Power Forecasting.

Joao Soares has published in several venues, with notable frequent publications in Zenodo (CERN European Organization for Nuclear Research), IEEE Access, and the journal Energies. Other venues include the 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) conference and the SSRN Electronic Journal.

Recent research papers authored include:

  • Flexibility management model of home appliances to support DSO requests in smart grids, 2020, Sustainable Cities and Society
  • Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions, 2021, IEEE Access
  • Local electricity markets: A review on benefits, barriers, current trends and future perspectives, 2023, Renewable and Sustainable Energy Reviews
  • A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources, 2022, IEEE Access
  • Green Hydrogen and Energy Transition: Current State and Prospects in Portugal, 2023, Energies

Collaboration is a significant aspect of their research. Frequent co-authors include Zita Vale, Fernando Lezama, Sérgio Ramos, Bruno Canizes, and José Almeida.

Best Publications

  • Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach

    T. Sousa;H. Morais;Z. Vale;P. Faria

  • Day-ahead resource scheduling including demand response for electric vehicles

    Joao Soares;Hugo Morais;Tiago Sousa;Zita Vale

  • Modified Particle Swarm Optimization applied to integrated demand response and DG resources scheduling

    Pedro Faria;Joao Soares;Zita Vale;Hugo Morais

  • Day-ahead resource scheduling in smart grids considering Vehicle-to-Grid and network constraints

    Tiago Sousa;Hugo Morais;João Soares;Zita Vale

  • Demand Response Management in Power Systems Using Particle Swarm Optimization

    Pedro Faria;Zita Vale;Joao Soares;Judite Ferreira

  • 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

  • Distributed energy resource short-term scheduling using signaled particle swarm optimization

    João Soares;Marco Silva;Tiago Sousa;Zita Vale

  • A stochastic model for energy resources management considering demand response in smart grids

    João Soares;Mohammad Ali Fotouhi Ghazvini;Nuno Borges;Zita Vale

  • An optimal scheduling problem in distribution networks considering V2G

    Joao Soares;Tiago Sousa;Hugo Morais;Zita Vale

  • Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

    João P. Soares;Tiago M. Sousa;Hugo Morais;Zita Vale

  • Flexibility management model of home appliances to support DSO requests in smart grids

    Fernando Lezama;Joao Soares;Bruno Canizes;Zita Vale

  • Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

    Joao Soares;Bruno Canizes;Mohammad Ali Fotouhi Ghazvini;Zita Vale

  • Congestion management in active distribution networks through demand response implementation

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

  • A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads

    João Soares;Mohammad Ali Fotouhi Ghazvini;Zita Vale;P.B. de Moura Oliveira

  • Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions

    Ricardo Faia;Joao Soares;Tiago Pinto;Fernando Lezama

  • Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

    João P. Soares;Tiago Pinto;Fernando Lezama;Hugo Morais

  • Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

    Hugo Morais;Tiago Sousa;João Soares;Pedro Faria

  • Smart City: A GECAD-BISITE Energy Management Case Study

    Bruno Canizes;Tiago Pinto;João P. Soares;Zita A. Vale

  • Stochastic interval-based optimal offering model for residential energy management systems by household owners

    Amin Shokri Gazafroudi;João Soares;Mohammad Ali Fotouhi Ghazvini;Tiago Pinto

  • Electric Vehicles’ User Charging Behaviour Simulator for a Smart City

    Bruno Canizes;João Soares;Angelo Costa;Tiago Pinto

  • Demand response programs definition supported by clustering and classification techniques

    Sergio Ramos;Hugo Morais;Zita Vale;Pedro Faria

Frequent Co-Authors

Zita Vale
Zita Vale Polytechnic Institute of Porto
Pedro Faria
Pedro Faria Polytechnic Institute of Porto
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Juan M. Corchado
Juan M. Corchado University of Salamanca
Rui Castro
Rui Castro Eindhoven University of Technology
John F. Franco
John F. Franco Sao Paulo State University
Ruben Romero
Ruben Romero Sao Paulo State University
Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Kwang Y. Lee
Kwang Y. Lee Baylor University
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi

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