World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4817
World Ranking
5809
National Ranking
247

David Naso 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 David Naso 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: 189 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

David Naso 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 David Naso 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Overview

David Naso is a researcher affiliated with the Polytechnic University of Bari in Italy. Their work spans multiple areas within engineering and computer science, with particular emphasis on electrical and electronic engineering, biomedical engineering, and control and systems engineering. The research contributions also extend to computational theory, mathematics, and mechanical engineering.

The main research topics covered by David Naso include:

  • Adaptive Dynamic Programming Control
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Dielectric materials and actuators
  • Advanced Sensor and Energy Harvesting Materials
  • Electric Motor Design and Analysis
  • Sensorless Control of Electric Motors

Their recent publications reflect this diversity and focus. Notable papers include:

  • "Assistive Power Buffer Control via Adaptive Dynamic Programming", 2020, IEEE Transactions on Energy Conversion
  • "Automated Multistep Parameter Identification of SPMSMs in Large-Scale Applications Using Cloud Computing Resources", 2021, Sensors
  • "Modeling and Design Optimization of a Rotational Soft Robotic System Driven by Double Cone Dielectric Elastomer Actuators", 2020, Frontiers in Robotics and AI
  • "Data-Driven Sparsity-Promoting Optimal Control of Power Buffers in DC Microgrids", 2020, IEEE Transactions on Energy Conversion
  • "Reinforcement Learning-Based Minimum Energy Position Control of Dielectric Elastomer Actuators", 2020, IEEE Transactions on Control Systems Technology

David Naso has frequently published in venues such as:

  • IEEE Transactions on Energy Conversion
  • Sensors
  • IEEE Transactions on Control Systems Technology
  • arXiv (Cornell University)
  • Frontiers in Robotics and AI

Collaboration is a significant aspect of their research methodology. Frequent coauthors include Paolo Roberto Massenio, Gianluca Rizzello, Giuseppe Leonardo Cascella, Elia Brescia, and Massimo Tipaldi.

Best Publications

  • Distributed Consensus-Based Economic Dispatch With Transmission Losses

    Giulio Binetti;Ali Davoudi;Frank L. Lewis;David Naso

  • Compact Differential Evolution

    E Mininno;F Neri;F Cupertino;D Naso

  • A Distributed Auction-Based Algorithm for the Nonconvex Economic Dispatch Problem

    Giulio Binetti;Ali Davoudi;David Naso;Biagio Turchiano

  • Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization

    E. Mininno;F. Cupertino;D. Naso

  • Modeling, Identification, and Control of a Dielectric Electro-Active Polymer Positioning System

    Gianluca Rizzello;David Naso;Alexander York;Stefan Seelecke

  • Closed loop control of dielectric elastomer actuators based on self-sensing displacement feedback

    G Rizzello;G Rizzello;D Naso;A York;S Seelecke

  • Sliding-Mode Control With Double Boundary Layer for Robust Compensation of Payload Mass and Friction in Linear Motors

    F. Cupertino;D. Naso;E. Mininno;B. Turchiano

  • Scalable Real-Time Electric Vehicles Charging With Discrete Charging Rates

    Giulio Binetti;Ali Davoudi;David Naso;Biagio Turchiano

  • Fuzzy control of a mobile robot

    F. Cupertino;V. Giordano;D. Naso;L. Delfine

  • A precise positioning actuator based on feedback-controlled magnetic shape memory alloys

    Leonardo Riccardi;David Naso;Hartmut Janocha;Biagio Turchiano

  • Modeling of the effects of the electrical dynamics on the electromechanical response of a DEAP circular actuator with a mass–spring load

    G Rizzello;G Rizzello;M Hodgins;D Naso;A York

  • A fuzzy-logic based optical sensor for online weld defect-detection

    D. Naso;B. Turchiano;P. Pantaleo

  • Precise position control of tubular linear motors with neural networks and composite learning

    David Naso;Francesco Cupertino;Biagio Turchiano

  • Robust Position Control of Dielectric Elastomer Actuators Based on LMI Optimization

    Gianluca Rizzello;David Naso;Biagio Turchiano;Stefan Seelecke

  • Multicriteria meta-heuristics for AGV dispatching control based on computational intelligence

    D. Naso;B. Turchiano

  • On-line genetic design of anti-windup unstructured controllers for electric drives with variable load

    F. Cupertino;E. Mininno;D. Naso;B. Turchiano

  • An Electro-Mechanically Coupled Model for the Dynamic Behavior of a Dielectric Electro-Active Polymer Actuator

    M. Hodgins;Gianluca Rizzello;Gianluca Rizzello;David Naso;A. York

  • Evolutionary adaptation of dispatching agents in heterarchical manufacturing systems

    Bruno Maione;David Naso

  • A Self-Sensing Approach for Dielectric Elastomer Actuators Based on Online Estimation Algorithms

    Gianluca Rizzello;David Naso;Alexander York;Stefan Seelecke

  • Discrete-Time Control of High-Speed Salient Machines

    Antonio Altomare;Alessandra Guagnano;Francesco Cupertino;David Naso

  • A soft computing approach for task contracting in multi-agent manufacturing control

    Guido Maione;David Naso

  • Design of Linear Feedback Controllers for Dynamic Systems With Hysteresis

    Leonardo Riccardi;David Naso;Biagio Turchiano;Hartmut Janocha

Frequent Co-Authors

Francesco Cupertino
Francesco Cupertino Polytechnic University of Bari
Stefan Seelecke
Stefan Seelecke Saarland University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Uzay Kaymak
Uzay Kaymak Eindhoven University of Technology
Ali Davoudi
Ali Davoudi The University of Texas at Arlington
Robert Babuska
Robert Babuska Delft University of Technology
Rommert Dekker
Rommert Dekker Erasmus University Rotterdam
Mariagrazia Dotoli
Mariagrazia Dotoli Polytechnic University of Bari
Francesco Paolo Schena
Francesco Paolo Schena University of Bari Aldo Moro
Carlos A. Silva
Carlos A. Silva University of Florida

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