World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
7239
World Ranking
4280
National Ranking
145

Computer Science

D-Index
41
Citations
8027
World Ranking
8761
National Ranking
240

Donatella Sciuto 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 Donatella Sciuto 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: 502 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Donatella Sciuto 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 Donatella Sciuto 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: 41 D-Index — 39th percentile

39% 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

  • 2011 - IEEE Fellow For contributions to embedded system design

Overview

Donatella Sciuto is affiliated with the Polytechnic University of Milan in Italy. Their research spans 43 published works primarily within the field of Computer Science, with notable contributions in hardware and architecture, artificial intelligence, information systems, electrical and electronic engineering, and computer networks and communications.

The scientist's main topics of research include:

  • Embedded Systems Design Techniques
  • Blockchain Technology Applications and Security
  • Parallel Computing and Optimization Techniques
  • Interconnection Networks and Systems
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Cryptography and Data Security
  • Integrated Circuits and Semiconductor Failure Analysis

Recent publications by Donatella Sciuto cover a range of subjects and appeared in reputable journals and conferences. Selected papers include:

  • "ASSURE: RTL Locking Against an Untrusted Foundry," 2021, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • "Pushing the Level of Abstraction of Digital System Design: A Survey on How to Program FPGAs," 2022, ACM Computing Surveys
  • "A Comprehensive Methodology to Optimize FPGA Designs via the Roofline Model," 2021, IEEE Transactions on Computers
  • "Faber: A Hardware/SoftWare Toolchain for Image Registration," 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Tunneling Trust Into the Blockchain: A Merkle Based Proof System for Structured Documents," 2020, IEEE Access

Donatella Sciuto has also coauthored multiple papers with recurring collaborators, which indicates ongoing research partnerships within their field. Frequent coauthors include:

  • Marco D. Santambrogio
  • Francesco Bruschi
  • Christian Pilato
  • Davide Conficconi
  • Vincenzo Rana

The scientist's work has been published frequently in several venues, including:

  • ACM Transactions on Reconfigurable Technology and Systems
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • ACM Computing Surveys
  • IEEE Transactions on Computers
  • IEEE Transactions on Parallel and Distributed Systems

Donatella Sciuto was recognized as an IEEE Fellow in 2011 for contributions to embedded system design.

Best Publications

  • Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies

    Giacomo Buonanno;Paolo Faverio;Federico Pigni;Aurelio Ravarini

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

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

  • Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems

    Fabrizio Ferrandi;Pier Luca Lanzi;Christian Pilato;Donatella Sciuto

  • Address bus encoding techniques for system-level power optimization

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

  • BlueSentinel: a first approach using iBeacon for an energy efficient occupancy detection system

    Giorgio Conte;Massimo De Marchi;Alessandro A. Nacci;Vincenzo Rana

  • ReSP: A Nonintrusive Transaction-Level Reflective MPSoC Simulation Platform for Design Space Exploration

    G. Beltrame;L. Fossati;D. Sciuto

  • Implicit test generation for behavioral VHDL models

    F. Ferrandi;F. Fummi;D. Sciuto

  • ReSP: a non-intrusive transaction-level reflective MPSoC simulation platform for design space exploration

    Giovanni Beltrame;Cristiana Bolchini;Luca Fossati;Antonio Miele

  • A Mapping Flow for Dynamically Reconfigurable Multi-Core System-on-Chip Design

    I. Beretta;V. Rana;D. Atienza;D. Sciuto

  • Power estimation of embedded systems: a hardware/software codesign approach

    W. Fornaciari;P. Gubian;D. Sciuto;C. Silvano

  • Source-level execution time estimation of C programs

    C. Brandolese;W. Fornaciari;F. Salice;D. Sciuto

  • Power optimization of system-level address buses based on software profiling

    W. Fornaciari;M. Polentarutti;D. Sciuto;C. Silvano

  • An instruction-level energy model for embedded VLIW architectures

    M. Sami;D. Sciuto;C. Silvano;V. Zaccaria

  • An instruction-level functionality-based energy estimation model for 32-bits microprocessors

    C. Brandolese;W. Fornaciari;F. Salice;D. Sciuto

  • Decision-Theoretic Design Space Exploration of Multiprocessor Platforms

    Giovanni Beltrame;Luca Fossati;Donatella Sciuto

  • Power estimation for architectural exploration of HW/SW communication on system-level buses

    William Fornaciari;Donatella Sciuto;Christina Silvano

  • Energy estimation and optimization of embedded VLIW processors based on instruction clustering

    A. Bona;M. Sami;D. Sciuto;C. Silvano

  • Internal and External Bitstream Relocation for Partial Dynamic Reconfiguration

    S. Corbetta;M. Morandi;M. Novati;M.D. Santambrogio

  • A design framework to efficiently explore energy-delay tradeoffs

    William Fornaciari;Donatella Sciuto;Cristina Silvano;Vittorio Zaccaria

  • Partitioning and exploration strategies in the TOSCA co-design flow

    A. Balboni;W. Fornaciari;D. Sciuto

Frequent Co-Authors

Cristina Silvano
Cristina Silvano Polytechnic University of Milan
Fabrizio Lombardi
Fabrizio Lombardi Northeastern University
Gianluca Palermo
Gianluca Palermo Polytechnic University of Milan
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan
Enrico Macii
Enrico Macii Polytechnic University of Turin
Vincenzo Piuri
Vincenzo Piuri University of Milan
Wayne Luk
Wayne Luk Imperial College London
Massimo Poncino
Massimo Poncino Polytechnic University of Turin
Luca Benini
Luca Benini ETH Zurich

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Related Online Degrees & Career Pathways

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Moreover, competency-based learning models are gaining popularity, especially for skills-focused education. Many competency-based online colleges allow students to progress at their own pace by demonstrating mastery in specific areas, which is ideal for hands-on fields like electronics and electrical engineering.

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