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Matti Lehtonen

Matti Lehtonen

Aalto University
Finland

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Electronics and Electrical Engineering
Finland
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 72 817 779 6 6 774 18414

Matti Lehtonen publications per year

The chart shows the history of publications by Matti Lehtonen between 1977 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matti Lehtonen published across 49 years, from 1977 to 2025, averaging 20 papers a year. Output peaked at 97 publications in 2021. 97 of the 979 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1977 to 2025. Vertical axis: number of publications, 0 to 97. Peak 97 publications in 2021. 1977: 1 publication 1978: 1 publication 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 4 publications 1996: 2 publications 1997: 3 publications 1998: 4 publications 1999: 2 publications 2000: 7 publications 2001: 5 publications 2002: 19 publications 2003: 16 publications 2004: 10 publications 2005: 17 publications 2006: 34 publications 2007: 30 publications 2008: 29 publications 2009: 32 publications 2010: 29 publications 2011: 15 publications 2012: 36 publications 2013: 39 publications 2014: 61 publications 2015: 54 publications 2016: 41 publications 2017: 36 publications 2018: 28 publications 2019: 53 publications 2020: 68 publications 2021: 97 publications 2022: 57 publications 2023: 52 publications 2024: 53 publications 2025: 44 publications
1977 2025

979 publications in total across all disciplines

View publications per year as a table
Matti Lehtonen: publications per year, 1977 to 2025
Year Publications
1977 1
1978 1
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 4
1996 2
1997 3
1998 4
1999 2
2000 7
2001 5
2002 19
2003 16
2004 10
2005 17
2006 34
2007 30
2008 29
2009 32
2010 29
2011 15
2012 36
2013 39
2014 61
2015 54
2016 41
2017 36
2018 28
2019 53
2020 68
2021 97
2022 57
2023 52
2024 53
2025 44
Total 979
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 774–793 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19 774
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 72 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46 72
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

External Links

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Related Online Degrees & Career Pathways

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For individuals looking to quickly enter the workforce or upskill, 6-month certificate programs that pay well are ideal. These programs provide focused training on specific topics relevant to electrical engineering and electronics careers, leading to high-demand, well-paying job opportunities within a short period.

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