World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
5881
World Ranking
5957
National Ranking
30

Pedro Faria 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 Pedro Faria 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: 298 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Pedro Faria 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 Pedro Faria 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Pedro Faria is affiliated with the Polytechnic Institute of Porto in Portugal. The primary field of study is Engineering, with a particular focus on Electrical and Electronic Engineering, Control and Systems Engineering, Building and Construction, Renewable Energy, Sustainability and the Environment, and Industrial and Manufacturing Engineering.

Their research topics encompass:

  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • Energy Efficiency and Management
  • Electric Vehicles and Infrastructure
  • Energy Load and Power Forecasting
  • Microgrid Control and Optimization
  • Smart Grid Security and Resilience

Pedro Faria has published extensively in venues including Zenodo (CERN European Organization for Nuclear Research), Energy Reports, IFAC-PapersOnLine, Energies, and Energy. The number of publications in these venues are respectively 20, 15, 14, 13, and 5.

Recent papers co-authored or contributed to by Pedro Faria cover various topics within energy and climate policy:

  • Sub- and non-state climate action: a framework to assess progress, implementation and impact (2020), published in Climate Policy
  • Smart energy community: A systematic review with metanalysis (2021), published in Energy Strategy Reviews
  • Demand response performance and uncertainty: A systematic literature review (2022), published in Energy Strategy Reviews
  • Residential load shifting in demand response events for bill reduction using a genetic algorithm (2022), published in Energy
  • A robust model for aggregated bidding of energy storages and wind resources in the joint energy and reserve markets (2021), published in Energy

Frequent co-authors working with Pedro Faria comprise Zita Vale, Luís Gomes, Cátia Silva, Bruno Mota, and Carlos Ramos.

In addition to journal publications, Pedro Faria has contributed to book publications with Even3 Publicações eBooks, including:

  • Atlas de Bolso de Anatomia Humana III (2024)
  • Atlas de Bolso de Anatomia Humana I (2024)

Best Publications

  • Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

    Hugo Morais;Péter Kádár;Pedro Faria;Zita A. Vale

  • Demand response in electrical energy supply: An optimal real time pricing approach

    Pedro Faria;Zita Vale

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

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

  • Towards transactive energy systems: An analysis on current trends

    Omid Abrishambaf;Fernando Lezama;Pedro Faria;Zita Vale

  • 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

  • Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

    Hugo Morais;Tiago Sousa;Zita Vale;Pedro Faria

  • Demand Response Management in Power Systems Using Particle Swarm Optimization

    Pedro Faria;Zita Vale;Joao Soares;Judite Ferreira

  • Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review.

    Luís Alves;Estrela Ferreira Cruz;Estrela Ferreira Cruz;Sérgio I Lopes;Pedro M Faria

  • Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs

    Pedro Faria;Joao Spinola;Zita Vale

  • Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market

    Mohammad Ali Fotouhi Ghazvini;Pedro Faria;Sergio Ramos;Hugo Morais

  • An optimal scheduling problem in distribution networks considering V2G

    Joao Soares;Tiago Sousa;Hugo Morais;Zita Vale

  • Smart energy community: A systematic review with metanalysis

    Débora de São José;Pedro Faria;Zita Vale

  • Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids

    Luis Gomes;Pedro Faria;Hugo Morais;Zita Vale

  • Distributed generation and demand response dispatch for a virtual power player energy and reserve provision

    Pedro Faria;Tiago Soares;Zita Vale;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

  • Implementation of a Real-Time Microgrid Simulation Platform Based on Centralized and Distributed Management

    Omid Abrishambaf;Pedro Faria;Luis Gomes;João Spínola

  • Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

    Pedro Faria;Zita Vale;Jose Baptista

  • Distribution system operation supported by contextual energy resource management based on intelligent SCADA

    Zita Vale;Hugo Morais;Pedro Faria;Carlos Ramos

  • Demsi — A demand response simulator in the context of intensive use of distributed generation

    Pedro Faria;Zita A. Vale;Judite Ferreira

  • Genetic algorithm methodology applied to intelligent house control

    Filipe Fernandes;Tiago Sousa;Marco Silva;Hugo Morais

  • 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
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Joao Soares
Joao Soares International Student Exchange Programs
Juan M. Corchado
Juan M. Corchado University of Salamanca
Miguel Castelo-Branco
Miguel Castelo-Branco University of Coimbra
Juan F. De Paz
Juan F. De Paz University of Salamanca
Mário J. Silva
Mário J. Silva Instituto Superior Técnico
Kwang Y. Lee
Kwang Y. Lee Baylor University
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
João L. Afonso
João L. Afonso University of Minho

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