World's Best Scientists 2026 revealed!
Matti Lehtonen

Matti Lehtonen

Award Badge
Electronics and Electrical Engineering
Finland
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
72
Citations
18414
World Ranking
817
National Ranking
6

Matti Lehtonen 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 Matti Lehtonen 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: 774 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Matti Lehtonen 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 Matti Lehtonen 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Finland Leader Award

Overview

Matti Lehtonen is affiliated with Aalto University in Finland. Their research primarily spans the field of engineering, with a strong focus on electrical and electronic engineering as well as control and systems engineering. Their work also extends into automotive engineering, materials chemistry, and aspects of safety, risk, reliability, and quality.

The scientist's recent publications cover a range of topics related to energy management, power systems optimization, and smart grid technologies. Some notable papers include:

  • "An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems" (2021, IEEE Access)
  • "Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties" (2022, Measurement)
  • "Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic" (2021, Sensors)
  • "Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings" (2021, Sensors)
  • "A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems" (2020, International Journal of Electrical Power & Energy Systems)

The main topics in their research activities include:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Electric Vehicles and Infrastructure
  • Electric Power System Optimization
  • High voltage insulation and dielectric phenomena
  • Smart Grid Security and Resilience

Lehtonen frequently publishes in several scientific venues, including:

  • IEEE Access
  • IET Generation Transmission & Distribution
  • Electric Power Systems Research
  • Energies
  • Applied Energy

Collaborations are a significant part of Lehtonen's work, with frequent co-authors such as Karar Mahmoud, Mohamed M. F. Darwish, Mahmud Fotuhi-Firuzabad, Sajjad Fattaheian-Dehkordi, and Mahdi Pourakbari-Kasmaei contributing extensively to joint research efforts.

Best Publications

  • Dynamic thermal modelling of power transformers

    D. Susa;M. Lehtonen;H. Nordman

  • Value of Distribution Network Reconfiguration in Presence of Renewable Energy Resources

    Mohammad Reza Dorostkar-Ghamsari;Mahmud Fotuhi-Firuzabad;Matti Lehtonen;Amir Safdarian

  • A Distributed Algorithm for Managing Residential Demand Response in Smart Grids

    Amir Safdarian;Mahmud Fotuhi-Firuzabad;Matti Lehtonen

  • An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

    Mahmoud N. Ali;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Modeling and experimental verification of high impedance arcing fault in medium voltage networks

    N.I. Elkalashy;M. Lehtonen;H.A. Darwish;M.A. Izzularab

  • Home load management in a residential energy hub

    Mohammad Rastegar;Mahmud Fotuhi-Firuzabad;Matti Lehtonen

  • Voltage sag distributions caused by power system faults

    P. Heine;M. Lehtonen

  • Optimal Residential Load Management in Smart Grids: A Decentralized Framework

    Amir Safdarian;Mahmud Fotuhi-Firuzabad;Matti Lehtonen

  • Dynamic thermal modeling of power transformers: further Development-part II

    D. Susa;M. Lehtonen

  • Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic.

    Mahmoud N. Ali;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish;Mohamed M. F. Darwish

  • Distributed agent-based State estimation for electrical distribution networks

    M.M. Nordman;M. Lehtonen

  • A Stochastic Framework for Short-Term Operation of a Distribution Company

    Amir Safdarian;Mahmud Fotuhi-Firuzabad;Matti Lehtonen

  • A method for estimating the frequency and cost of voltage sags

    P. Heine;P. Pohjanheimo;M. Lehtonen;E. Lakervi

  • DWT-Based Detection and Transient Power Direction-Based Location of High-Impedance Faults Due to Leaning Trees in Unearthed MV Networks

    N.I. Elkalashy;M. Lehtonen;H.A. Darwish;A.-M.I. Taalab

  • A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

    Anoosh Dini;Alireza Hassankashi;Sasan Pirouzi;Matti Lehtonen

  • Integration of Price-Based Demand Response in DisCos' Short-Term Decision Model

    Amir Safdarian;Mahmud Fotuhi-Firuzabad;Matti Lehtonen

  • Optimal location-allocation of storage devices and renewable-based DG in distribution systems

    Juan M. Home-Ortiz;Mahdi Pourakbari-Kasmaei;Matti Lehtonen;José Roberto Sanches Mantovani

  • A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems

    Ehsan Naderi;Mahdi Pourakbari-Kasmaei;Fernando V. Cerna;Matti Lehtonen

  • Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation

    Mohammad Gholami;Ali Abbaspour;Moein Moeini-Aghtaie;Mahmud Fotuhi-Firuzabad

  • Distribution network reliability improvements in presence of demand response

    Amir Safdarian;Merkebu Z. Degefa;Matti Lehtonen;Mahmud Fotuhi-Firuzabad

  • Characteristics of earth faults in electrical distribution networks with high impedance earthing

    Seppo Hänninen;Matti Lehtonen

  • Dynamic thermal modeling of distribution transformers

    D. Susa;M. Lehtonen;H. Nordman

  • An agent concept for managing electrical distribution networks

    M.M. Nordman;M. Lehtonen

  • Combining the Demand Response of direct electric space heating and partial thermal storage using LP optimization

    Mubbashir Ali;Juha Jokisalo;Kai Siren;Matti Lehtonen

Frequent Co-Authors

Mahmud Fotuhi-Firuzabad
Mahmud Fotuhi-Firuzabad Sharif University of Technology
Amir Safdarian
Amir Safdarian Sharif University of Technology
Moein Moeini-Aghtaie
Moein Moeini-Aghtaie Sharif University of Technology
Caro Lucas
Caro Lucas University of Tehran
Hamid Lesani
Hamid Lesani University of Tehran
Farrokh Aminifar
Farrokh Aminifar University of Tehran
Diaa-Eldin A. Mansour
Diaa-Eldin A. Mansour Egypt-Japan University of Science and Technology
Javier Contreras
Javier Contreras University of Castilla-La Mancha
Jose Roberto Sanches Mantovani
Jose Roberto Sanches Mantovani Sao Paulo State University
Jamshid Aghaei
Jamshid Aghaei Central Queensland University

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