World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
13269
World Ranking
2056
National Ranking
43

Aldo Boglietti 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 Aldo Boglietti 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: 253 publications — 45th percentile

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

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

Aldo Boglietti 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 Aldo Boglietti 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: 56 D-Index — 71st percentile

71% 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

  • 2012 - IEEE Fellow For contributions to analysis of magnetic materials and AC electrical machines

Overview

Aldo Boglietti is affiliated with the Polytechnic University of Turin in Italy and has contributed extensively to the field of engineering, with a focus on electrical and electronic engineering. Their research spans several key subfields, including electrical and electronic engineering, mechanical engineering, electronic, optical and magnetic materials, control and systems engineering, and automotive engineering.

Their main research topics cover a range of specialized areas:

  • Electric Motor Design and Analysis
  • Magnetic Properties and Applications
  • Induction Heating and Inverter Technology
  • Magnetic Bearings and Levitation Dynamics
  • Sensorless Control of Electric Motors
  • Thermal Analysis in Power Transmission
  • Multilevel Inverters and Converters

Boglietti has published numerous papers in reputable venues, with repeated appearances in key journals and conferences such as:

  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Energy Conversion
  • 2022 International Conference on Electrical Machines (ICEM)
  • IEEE Transactions on Transportation Electrification
  • 2021 24th International Conference on Electrical Machines and Systems (ICEMS)

Recent notable papers include:

  • "A Review on Different Aspects of Traction Motor Design for Railway Applications" (2020) IEEE Transactions on Industry Applications
  • "Thermal and Manufacturing Aspects of Traction Motors Potting: A Deep Experimental Evaluation" (2020) IEEE Transactions on Energy Conversion
  • "Numerically Based Reduced-Order Thermal Modeling of Traction Motors" (2021) IEEE Transactions on Industry Applications
  • "Coupled Fluid-Solid Heat Transfer of A Gas and Liquid Cooling PMSM Including Rotor Rotation" (2021) IEEE Transactions on Energy Conversion
  • "Overload Capability of Multiphase Machines Under Normal and Open-Phase Fault Conditions: A Thermal Analysis Approach" (2020) IEEE Transactions on Industry Applications

Frequent collaborators in their research include Fabrizio Marignetti, Sandro Rubino, Likun Wang, Nicola Bianchi, and Fabio Mandrile. These collaborations have contributed to a significant number of joint publications.

Their publication record also includes book contributions, notably a publication with the Institution of Engineering and Technology titled Cooling of Rotating Electrical Machines: Fundamentals, modelling, testing and design in 2022.

Aldo Boglietti was recognized by the IEEE as a Fellow in 2012 for contributions to the analysis of magnetic materials and AC electrical machines, reflecting a specific acknowledgment within the professional community.

Best Publications

  • Evolution and Modern Approaches for Thermal Analysis of Electrical Machines

    A. Boglietti;A. Cavagnino;D. Staton;M. Shanel

  • High-Speed Electrical Machines: Technologies, Trends, and Developments

    David Gerada;Abdeslam Mebarki;Neil L. Brown;Chris Gerada

  • Solving the more difficult aspects of electric motor thermal analysis in small and medium size industrial induction motors

    D. Staton;A. Boglietti;A. Cavagnino

  • A simplified thermal model for variable speed self cooled industrial induction motor

    A. Boglietti;A. Cavagnino;M. Lazzari;A. Pastorelli

  • Determination of Critical Parameters in Electrical Machine Thermal Models

    A. Boglietti;A. Cavagnino;D. Staton

  • Predicting iron losses in soft magnetic materials with arbitrary voltage supply: an engineering approach

    A. Boglietti;A. Cavagnino;M. Lazzari;M. Pastorelli

  • Soft Magnetic Material Status and Trends in Electric Machines

    Andreas Krings;Aldo Boglietti;Andrea Cavagnino;Steve Sprague

  • An improved estimation of iron losses in rotating electrical machines

    G. Bertotti;A. Boglietti;M. Chiampi;D. Chiarabaglio

  • The safety critical electric machines and drives in the more electric aircraft: A survey

    A. Boglietti;A. Cavagnino;A. Tenconi;S. Vaschetto

  • TEFC induction motors thermal models: a parameter sensitivity analysis

    A. Boglietti;A. Cavagnino;D.A. Staton

  • Electrical Vehicles—Practical Solutions for Power Traction Motor Systems

    Mircea Popescu;James Goss;David Alan Staton;Douglas Hawkins

  • Computational Algorithms for Induction-Motor Equivalent Circuit Parameter Determination—Part I: Resistances and Leakage Reactances

    A. Boglietti;A. Cavagnino;M. Lazzari

  • End Space Heat Transfer Coefficient Determination for Different Induction Motor Enclosure Types

    A. Boglietti;A. Cavagnino;D.A. Staton;M. Popescu

  • Iron loss in rotor-flux-oriented induction machines: identification, assessment of detuning, and compensation

    E. Levi;M. Sokola;A. Boglietti;M. Pastorelli

  • International standards for the induction motor efficiency evaluation: a critical analysis of the stray-load loss determination

    A. Boglietti;A. Cavagnino;M. Lazzari;M. Pastorelli

  • Experimental comparison of induction and synchronous reluctance motors performance

    A. Boglietti;A. Cavagnino;M. Pastorelli;A. Vagati

  • Induction motor high frequency model

    A. Boglietti;E. Carpaneto

  • Estimation of Iron Losses in Induction Motors: Calculation Method, Results, and Analysis

    Z. Gmyrek;A. Boglietti;A. Cavagnino

  • Experimental High-Frequency Parameter Identification of AC Electrical Motors

    A. Boglietti;A. Cavagnino;M. Lazzari

  • A General Model to Predict the Iron Losses in PWM Inverter-Fed Induction Motors

    Aldo Boglietti;Andrea Cavagnino;Dan M Ionel;Mircea Popescu

  • A simplified thermal model for variable speed self cooled industrial induction motor

    Aldo Boglietti;Andrea Cavagnino;Mario Lazzari;Michele Angelo Pastorelli

Frequent Co-Authors

Andrea Cavagnino
Andrea Cavagnino Polytechnic University of Turin
Francesco Profumo
Francesco Profumo Polytechnic University of Turin
Mircea Popescu
Mircea Popescu Ansys (United Kingdom)
Radu Bojoi
Radu Bojoi Polytechnic University of Turin
Alfredo Vagati
Alfredo Vagati Polytechnic University of Turin
Nicola Bianchi
Nicola Bianchi University of Padua
Dan M. Ionel
Dan M. Ionel University of Kentucky
Chris Gerada
Chris Gerada University of Nottingham
Paolo Guglielmi
Paolo Guglielmi Polytechnic University of Turin
Gianmario Pellegrino
Gianmario Pellegrino Polytechnic University of Turin

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring additional educational opportunities can enhance career prospects. One valuable option is a project management bachelor degree. This degree complements technical skills with leadership and organizational expertise, preparing graduates for multidisciplinary project roles in engineering fields.

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Another innovative approach is found in competency based universities, which focus on mastery of specific skills rather than traditional credit hours. This model can accelerate graduation for motivated students with prior experience.

Combining these diverse pathways with core engineering expertise equips graduates to thrive in a rapidly evolving technological landscape.

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