World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
Italy
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
86
Citations
27719
World Ranking
363
National Ranking
7

Daniele Ielmini 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 Daniele Ielmini 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: 426 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Daniele Ielmini 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 Daniele Ielmini 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: 86 D-Index — 95th percentile

95% 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

  • 2026 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2019 - IEEE Fellow For contributions to nonvolatile semiconductor memories

Overview

Daniele Ielmini is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the fields of Engineering and Neuroscience, with a particular focus on Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. Their work also covers several interdisciplinary areas including Artificial Intelligence, Cognitive Neuroscience, and Materials Chemistry.

The scientist's main topics of research include Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neural Dynamics and Brain Function, Neuroscience and Neural Engineering, Neural Networks and Reservoir Computing, Semiconductor Materials and Devices, and Photoreceptor and Optogenetics Research.

They have published extensively in notable venues such as IEEE Transactions on Electron Devices, arXiv (Cornell University), Advanced Intelligent Systems, Advanced Electronic Materials, and Nature Communications.

Among their recent papers are:

  • "Embedded Devices for Neuromorphic Time-Series Assessment" (2022), published in Maryland Shared Open Access Repository (USMAI Consortium)
  • "In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks" (2021), published in Nature Materials
  • "Hardware implementation of memristor-based artificial neural networks" (2024), published in Nature Communications
  • "Hybrid 2D-CMOS microchips for memristive applications" (2023), published in Nature
  • "Standards for the Characterization of Endurance in Resistive Switching Devices" (2021), published in ACS Nano

Daniele Ielmini has collaborated frequently with several coauthors, including Piergiulio Mannocci, Giacomo Pedretti, Saverio Ricci, Matteo Farronato, and Artem Glukhov.

They are also an author of book publications, including a title titled Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations (2021), published by Springer Nature.

In 2019, Daniele Ielmini was awarded the IEEE Fellow distinction for contributions to nonvolatile semiconductor memories.

Best Publications

  • In-memory computing with resistive switching devices

    Daniele Ielmini;H.-S. Philip Wong

  • Phase Change Materials and Their Application to Nonvolatile Memories

    Simone Raoux;Wojciech Wełnic;Daniele Ielmini

  • Resistive switching memories based on metal oxides: mechanisms, reliability and scaling

    Daniele Ielmini

  • Analytical model for subthreshold conduction and threshold switching in chalcogenide-based memory devices

    Daniele Ielmini;Yuegang Zhang

  • Recommended Methods to Study Resistive Switching Devices

    Mario Lanza;H.-S. Philip Wong;Eric Pop;Daniele Ielmini

  • Modeling the Universal Set/Reset Characteristics of Bipolar RRAM by Field- and Temperature-Driven Filament Growth

    D. Ielmini

  • Resistive Switching by Voltage-Driven Ion Migration in Bipolar RRAM—Part II: Modeling

    Stefano Larentis;Federico Nardi;Simone Balatti;David C. Gilmer

  • Self-Accelerated Thermal Dissolution Model for Reset Programming in Unipolar Resistive-Switching Memory (RRAM) Devices

    U. Russo;D. Ielmini;C. Cagli;A.L. Lacaita

  • Reliability study of phase-change nonvolatile memories

    A. Pirovano;A. Redaelli;F. Pellizzer;F. Ottogalli

  • Filament Conduction and Reset Mechanism in NiO-Based Resistive-Switching Memory (RRAM) Devices

    U. Russo;D. Ielmini;C. Cagli;A.L. Lacaita

  • Threshold switching mechanism by high-field energy gain in the hopping transport of chalcogenide glasses

    Daniele Ielmini

  • Resistive switching : from fundamentals of nanoionic redox processes to memristive device applications

    Daniele Ielmini;Rainer Waser

  • In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks.

    Gianluca Milano;Giacomo Pedretti;Kevin Montano;Saverio Ricci

  • Study of Multilevel Programming in Programmable Metallization Cell (PMC) Memory

    U. Russo;D. Kamalanathan;D. Ielmini;A.L. Lacaita

  • Electronic switching effect and phase-change transition in chalcogenide materials

    A. Redaelli;A. Pirovano;F. Pellizzer;A.L. Lacaita

  • Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

    Daniele Ielmini

  • Electrothermal and phase-change dynamics in chalcogenide-based memories

    A.L. Lacaita;A. Redaelli;D. Ielmini;F. Pellizzer

  • Recovery and Drift Dynamics of Resistance and Threshold Voltages in Phase-Change Memories

    D. Ielmini;A.L. Lacaita;D. Mantegazza

  • Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices.

    Wei Wang;Ming Wang;Elia Ambrosi;Alessandro Bricalli

  • Emerging neuromorphic devices.

    Daniele Ielmini;Stefano Ambrogio

  • Physical models of size-dependent nanofilament formation and rupture in NiO resistive switching memories.

    D Ielmini;F Nardi;C Cagli

  • Conductive-filament switching analysis and self-accelerated thermal dissolution model for reset in NiO-based RRAM

    U. Russo;D. Ielmini;C. Cagli;A.L. Lacaita

  • Phase Change Materials

    Simone Raoux;Daniele Ielmini;Matthias Wuttig;Ilya Karpov

Frequent Co-Authors

Andrea L. Lacaita
Andrea L. Lacaita Polytechnic University of Milan
Alessandro S. Spinelli
Alessandro S. Spinelli Polytechnic University of Milan
Stefano Ambrogio
Stefano Ambrogio Meta for Business
Fabio Pellizzer
Fabio Pellizzer Micron (United States)
Rainer Waser
Rainer Waser RWTH Aachen University
Roberto Bez
Roberto Bez Micron (United States)
Ilia Valov
Ilia Valov RWTH Aachen University
Yuegang Zhang
Yuegang Zhang Tsinghua University
Shibing Long
Shibing Long University of Science and Technology of China
Gurtej S. Sandhu
Gurtej S. Sandhu Micron (United States)

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