World's Best Scientists 2026 revealed!
Marcos Tostado-Véliz

Marcos Tostado-Véliz

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
6571
World Ranking
2997
National Ranking
44

Marcos Tostado-Véliz 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 Marcos Tostado-Véliz 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: 200 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Marcos Tostado-Véliz 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 Marcos Tostado-Véliz 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: 49 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Best Publications

  • An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster

    Unknown

  • An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks

    Unknown

  • An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination

    Unknown

  • Optimal Energy Management of Cooperative Energy Communities considering Flexible Demand, Storage and Vehicle-to-Grid under Uncertainties

    Unknown

  • Optimal allocation of renewable DGs using artificial hummingbird algorithm under uncertainty conditions

    Unknown

  • A mixed-integer-linear-logical programming interval-based model for optimal scheduling of isolated microgrids with green hydrogen-based storage considering demand response

    Unknown

  • A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response

    Marcos Tostado-Véliz;Daniel Icaza-Alvarez;Francisco Jurado

  • Two-stage stochastic-based scheduling of multi-energy microgrids with electric and hydrogen vehicles charging stations, considering transactions through pool market and bilateral contracts

    Unknown

  • Industrial energy hubs with electric, thermal and hydrogen demands for resilience enhancement of mobile storage-integrated power systems

    Unknown

  • An Improved Arithmetic Optimization Algorithm for design of a microgrid with energy storage system: Case study of El Kharga Oasis, Egypt

    Unknown

  • A novel control approach to improve the stability of hybrid AC/DC microgrids

    Unknown

  • A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications

    Marcos Tostado-Véliz;Paul Arévalo;Francisco Jurado

  • Multi-energy microgrid optimal operation with integrated power to gas technology considering uncertainties

    Unknown

  • Optimal operation of energy hubs including parking lots for hydrogen vehicles and responsive demands

    Unknown

  • Efficient solution of many-objective Home Energy Management systems

    Marcos Tostado-Véliz;Samundra Gurung;Francisco Jurado

  • Home energy management system considering effective demand response strategies and uncertainties

    Unknown

  • The role of smart communities integrated with renewable energy resources, smart homes and electric vehicles in providing ancillary services: A tri-stage optimization mechanism

    Unknown

  • A stochastic-interval model for optimal scheduling of PV-assisted multi-mode charging stations

    Unknown

  • A three-stage mechanism for flexibility-oriented energy management of renewable-based community microgrids with high penetration of smart homes and electric vehicles

    Unknown

  • Hybrid particle swarm and sea horse optimization algorithm-based optimal reactive power dispatch of power systems comprising electric vehicles

    Unknown

Frequent Co-Authors

Francisco Jurado
Francisco Jurado University of Jaén
Salah Kamel
Salah Kamel Aswan University
Hany M. Hasanien
Hany M. Hasanien University of Sharjah
João Peças Lopes
João Peças Lopes University of Porto
Manuel A. Matos
Manuel A. Matos University of Porto
Ali M. Eltamaly
Ali M. Eltamaly Mansoura University
Ehab E. Elattar
Ehab E. Elattar Taif University

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, pursuing a master's in training and development online offers a valuable pathway. This specialization enhances skills in instructional design, which can be crucial for engineers looking to move into corporate training or educational roles.

Competency-based programs have gained popularity by allowing students to progress at their own pace, focusing on mastering specific skills. Many competency-based online colleges offer flexible, self-paced options ideal for working professionals in engineering seeking to balance continuing education with their careers.

Military spouses and dependents often face unique challenges when pursuing higher education. Thankfully, several online schools for military spouses provide tailored support and flexible scheduling, making it easier to advance qualifications in engineering and related fields without geographical constraints.

Additionally, enrolling in online colleges with frequent start dates can benefit students by offering greater enrollment flexibility. This allows aspiring engineers to begin their studies promptly, adapting their education timeline to fit personal and professional needs.

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