World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
6972
World Ranking
3921
National Ranking
19

Hugo Morais 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 Hugo Morais 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: 446 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: 217 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Hugo Morais 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 Hugo Morais sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 43 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Hugo Morais is affiliated with the Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento in Lisboa, Portugal. Their research primarily spans the field of Engineering, with a strong focus on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Automotive Engineering, and Computer Networks and Communications.

Their scholarly contributions address multiple specialized areas, including:

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

Recent publications authored or co-authored by Hugo Morais cover various topics related to energy systems and optimization. Notable papers include:

  • "Power quality monitoring in electric grid integrating offshore wind energy: A review" (2023) published in Renewable and Sustainable Energy Reviews
  • "Reactive power provision by the DSO to the TSO considering renewable energy sources uncertainty" (2020) published in Sustainable Energy Grids and Networks
  • "Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer" (2021) published in Energies
  • "New approach for electric vehicles charging management in parking lots considering fairness rules" (2023) published in Electric Power Systems Research
  • "Electrical Load Demand Forecasting Using Feed-Forward Neural Networks" (2021) published in Energies

The scientist has published extensively in venues that include:

  • Energies
  • IET conference proceedings.
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Sustainable Energy Grids and Networks

Throughout their career, Hugo Morais has collaborated frequently with several researchers. The most frequent co-authors include:

  • Lucas Pereira
  • Zita Vale
  • Cindy P. Guzmán
  • Tiago Pinto
  • Madeleine Gibescu

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

  • Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

    Junjie Hu;Hugo Morais;Tiago Sousa;Morten Lind

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

    Joao Soares;Hugo Morais;Tiago Sousa;Zita Vale

  • MASCEM: Electricity Markets Simulation with Strategic Agents

    Z Vale;T Pinto;I Praça;H Morais

  • 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

  • Dynamic load management in a smart home to participate in demand response events

    Filipe Fernandes;Hugo Morais;Zita Vale;Carlos Ramos

  • An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation

    Marco Silva;H. Morais;Zita Vale

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

    Tiago Sousa;Hugo Morais;João Soares;Zita Vale

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

    João Soares;Marco Silva;Tiago Sousa;Zita Vale

  • Electric Vehicle Scenario Simulator Tool for Smart Grid Operators

    João Soares;Bruno Canizes;Cristina Lobo;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

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

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

  • Active Distribution Grid Management Based on Robust AC Optimal Power Flow

    Tiago Soares;Ricardo J. Bessa;Pierre Pinson;Hugo Morais

  • Optimal Offering Strategies for Wind Power in Energy and Primary Reserve Markets

    Tiago Soares;Pierre Pinson;Tue V. Jensen;Hugo Morais

  • A new approach for multi-agent coalition formation and management in the scope of electricity markets

    Tiago Pinto;H. Morais;Pedro Oliveira;Zita Vale

  • Adaptive learning in agents behaviour: A framework for electricity markets simulation

    Tiago Pinto;Zita Vale;Tiago M. Sousa;Isabel Praça

  • 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

  • MASGriP — A Multi-Agent Smart Grid Simulation Platform

    P. Oliveira;T. Pinto;H. Morais;Z. Vale

  • 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

  • Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

    Gabriel Santos;Tiago Pinto;Hugo Morais;Hugo Morais;Tiago M. Sousa

  • Adaptive Portfolio Optimization for Multiple Electricity Markets Participation

    Tiago Pinto;Hugo Morais;Tiago M. Sousa;Tiago Sousa

Frequent Co-Authors

Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology
Weige Zhang
Weige Zhang Beijing Jiaotong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in advancing their knowledge in Electronics and Electrical Engineering, exploring accelerated online bachelor degree programs accredited offers a flexible way to earn a degree while balancing work and personal commitments. These programs are designed to fast-track your education without compromising quality.

Additionally, pursuing a specialized field such as instructional design can be highly beneficial. Many students choose an instructional design masters degree online to gain expertise in creating effective educational programs, often complementing technical knowledge from engineering backgrounds.

Competency-based learning is another growing trend. Competency based masters degrees allow you to progress at your own pace by demonstrating mastery of essential skills, which is ideal for professionals seeking to apply their experience directly toward degree completion.

For military spouses and dependents, finding the right institution is crucial. Investigating the best online college for military spouses ensures access to tailored support services and flexible scheduling to accommodate unique lifestyle demands.

Best Scientists Citing Hugo Morais

Trending Scientists

Recently Published Articles