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Computer Science
Italy
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
11246
World Ranking
2509
National Ranking
64

Computer Science

D-Index
56
Citations
13976
World Ranking
4034
National Ranking
84

Enrico Macii 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 Enrico Macii 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: 636 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Enrico Macii 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 Enrico Macii 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: 52 D-Index — 64th percentile

64% 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

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Enrico Macii is affiliated with the Polytechnic University of Turin in Italy. Their research spans multiple areas within engineering and computer science, with a substantial focus on electrical and electronic engineering as well as artificial intelligence. Additional specialized fields of study include industrial and manufacturing engineering, computer vision and pattern recognition, and computer networks and communications.

Their work covers several notable topics, showcasing a broad engagement with current technological challenges. These topics include:

  • Smart Grid Energy Management
  • Digital Transformation in Industry
  • Energy Load and Power Forecasting
  • Advanced Neural Network Applications
  • Advanced Battery Technologies Research
  • Solar Radiation and Photovoltaics
  • Building Energy and Comfort Optimization

Recent publications by Macii demonstrate their involvement in diverse areas of applied research. Selected papers include:

  • "Transformer neural networks for interpretable flood forecasting," 2022, Environmental Modelling & Software
  • "Solar radiation forecasting based on convolutional neural network and ensemble learning," 2021, Expert Systems with Applications
  • "A compound of feature selection techniques to improve solar radiation forecasting," 2021, Expert Systems with Applications
  • "Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices," 2021, IEEE Transactions on Biomedical Circuits and Systems
  • "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry," 2020, Electronics

Macii has published extensively, with frequent contributions to venues such as arXiv (Cornell University), Energies, Expert Systems with Applications, IEEE Transactions on Industry Applications, and IEEE Transactions on Computers.

Their collaborative network includes frequent co-authors:

  • Massimo Poncino
  • Daniele Jahier Pagliari
  • Alessio Burrello
  • Edoardo Patti
  • Lorenzo Bottaccioli

In addition to journal articles and conference papers, Macii has contributed to book literature, with at least one publication under Springer International Publishing titled "Predictive Maintenance in Smart Factories" from 2021.

Best Publications

  • Algebric Decision Diagrams and Their Applications

    R. I. Bahar;E. A. Frohm;C. M. Gaona;G. D. Hachtel

  • Algebraic decision diagrams and their applications

    R. Iris Bahar;Erica A. Frohm;Charles M. Gaona;Gary D. Hachtel

  • High-level power modeling, estimation, and optimization

    E. Macii;M. Pedram;F. Somenzi

  • Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • A discrete-time battery model for high-level power estimation

    L. Benini;G. Castelli;A. Macii;E. Macii

  • Designing low-power circuits: practical recipes

    L. Benini;G. De Micheli;E. Macii

  • Address bus encoding techniques for system-level power optimization

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • Markovian analysis of large finite state machines

    G.D. Hachtel;E. Macii;A. Pardo;F. Somenzi

  • Discrete-time battery models for system-level low-power design

    L. Benini;G. Castelli;A. Macii;E. Macii

  • Clock-tree power optimization based on RTL clock-gating

    Monica Donno;Alessandro Ivaldi;Luca Benini;Enrico Macii

  • Automated segmentation of tissue images for computerized IHC analysis

    S. Di Cataldo;E. Ficarra;A. Acquaviva;E. Macii

  • Selective instruction compression for memory energy reduction in embedded systems

    Luca Benini;Alberto Macii;Enrico Macii;Massimo Poncino

  • The Human Brain Project and neuromorphic computing.

    Andrea Calimera;Enrico Macii;Massimo Poncino

  • Power optimization of core-based systems by address bus encoding

    L. Benini;G. De Micheli;E. Macii;M. Poncino

  • Algorithms for Approximate FSM Traversal

    Hyunwoo Cho;Gary D. Hachtel;Enrico Macii;Bernard Plessier

  • System-level power optimization of special purpose applications: the beach solution

    L. Benini;G. De Micheli;E. Macii;M. Poncino

  • Energy-aware design techniques for differential power analysis protection

    Luca Benini;Alberto Macii;Enrico Macii;Elvira Omerbegovic

  • Power-aware clock tree planning

    Monica Donno;Enrico Macii;Luca Mazzoni

  • A scalable algorithm for RTL insertion of gated clocks based on ODCs computation

    P. Babighian;L. Benini;E. Macii

  • A Multi-Patient Data-Driven Approach to Blood Glucose Prediction

    Alessandro Aliberti;Irene Pupillo;Stefano Terna;Enrico Macii

  • NBTI-aware power gating for concurrent leakage and aging optimization

    Andrea Calimera;Enrico Macii;Massimo Poncino

Frequent Co-Authors

Massimo Poncino
Massimo Poncino Polytechnic University of Turin
Alberto Macii
Alberto Macii Polytechnic University of Turin
Andrea Acquaviva
Andrea Acquaviva University of Bologna
Luca Benini
Luca Benini ETH Zurich
Fabio Somenzi
Fabio Somenzi University of Colorado Boulder
Gary D. Hachtel
Gary D. Hachtel University of Colorado Boulder
G. De Micheli
G. De Micheli École Polytechnique Fédérale de Lausanne
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
R. Iris Bahar
R. Iris Bahar Brown University

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