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Stefano Ambrogio

Stefano Ambrogio

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 37 5098 4894 1772 1657 100 6207

Stefano Ambrogio publications per year

The chart shows the history of publications by Stefano Ambrogio between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stefano Ambrogio published across 19 years, from 2007 to 2025, averaging 6.2 papers a year. Output peaked at 17 publications in 2015. 10 of the 118 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2015. 2007: 1 publication 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 1 publication 2013: 5 publications 2014: 12 publications 2015: 17 publications 2016: 11 publications 2017: 9 publications 2018: 8 publications 2019: 15 publications 2020: 11 publications 2021: 7 publications 2022: 4 publications 2023: 7 publications 2024: 7 publications 2025: 3 publications
2007 2025

118 publications in total across all disciplines

View publications per year as a table
Stefano Ambrogio: publications per year, 2007 to 2025
Year Publications
2007 1
2008 0
2009 0
2010 0
2011 0
2012 1
2013 5
2014 12
2015 17
2016 11
2017 9
2018 8
2019 15
2020 11
2021 7
2022 4
2023 7
2024 7
2025 3
Total 118
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Stefano Ambrogio 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 Stefano Ambrogio sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 94–113 publications, is where this scientist sits. 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
34–53 publications 1,065+

This scientist: 100 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203 100
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Stefano Ambrogio 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 Stefano Ambrogio sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 37 D-Index, is where this scientist sits. 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220 37
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Overview

Stefano Ambrogio is affiliated with Meta for Business in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, and Hardware and Architecture.

Their work covers several topics including Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neural Networks and Reservoir Computing, Advanced Neural Network Applications, Machine Learning in Materials Science, Phase-change Materials and Chalcogenides, and Quantum Computing Algorithms and Architecture.

Frequent coauthors in their research include Charles Mackin, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, and Alexander Friz.

Stefano Ambrogio has published extensively in venues such as IEEE Transactions on Electron Devices, arXiv (Cornell University), Nature Communications, Nature, and APL Materials.

Recent papers authored or coauthored by Stefano Ambrogio include the following:

  • "An analog-AI chip for energy-efficient speech recognition and transcription" (2023, Nature)
  • "Roadmap to neuromorphic computing with emerging technologies" (2024, APL Materials)
  • "Optimised weight programming for analogue memory-based deep neural networks" (2022, Nature Communications)
  • "Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training" (2021, IEEE Transactions on Electron Devices)
  • "Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices" (2021, Frontiers in Computational Neuroscience)

Best Publications

  • Equivalent-accuracy accelerated neural-network training using analogue memory

    Stefano Ambrogio;Pritish Narayanan;Hsinyu Tsai;Robert M. Shelby

  • Recommended Methods to Study Resistive Switching Devices

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

  • Emerging neuromorphic devices.

    Daniele Ielmini;Stefano Ambrogio

  • Statistical Fluctuations in HfO x Resistive-Switching Memory: Part I - Set/Reset Variability

    Stefano Ambrogio;Simone Balatti;Antonio Cubeta;Alessandro Calderoni

  • Neuromorphic Learning and Recognition With One-Transistor-One-Resistor Synapses and Bistable Metal Oxide RRAM

    Stefano Ambrogio;Simone Balatti;Valerio Milo;Roberto Carboni

  • Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

    G. Pedretti;V. Milo;S. Ambrogio;R. Carboni

  • Analytical Modeling of Oxide-Based Bipolar Resistive Memories and Complementary Resistive Switches

    Stefano Ambrogio;Simone Balatti;David C. Gilmer;Daniele Ielmini

  • True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices

    Simone Balatti;Stefano Ambrogio;Zhongqiang Wang;Daniele Ielmini

  • Statistical Fluctuations in HfO x Resistive-Switching Memory: Part II—Random Telegraph Noise

    Stefano Ambrogio;Simone Balatti;Antonio Cubeta;Alessandro Calderoni

  • Spike-timing dependent plasticity in a transistor-selected resistive switching memory.

    S Ambrogio;S Balatti;F Nardi;S Facchinetti

  • Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices

    Simone Balatti;Stefano Ambrogio;Roberto Carboni;Valerio Milo

  • Voltage-Controlled Cycling Endurance of HfO x -Based Resistive-Switching Memory

    Simone Balatti;Stefano Ambrogio;Zhongqiang Wang;Scott Sills

  • Ultrafast valley relaxation dynamics in monolayer MoS 2 probed by nonequilibrium optical techniques

    S. Dal Conte;F. Bottegoni;E. A. A. Pogna;D. De Fazio

  • Impact of the Mechanical Stress on Switching Characteristics of Electrochemical Resistive Memory

    Stefano Ambrogio;Simone Balatti;Seol Choi;Daniele Ielmini

  • A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systems

    Zhongqiang Wang;Stefano Ambrogio;Simone Balatti;Daniele Ielmini

  • Normally-off Logic Based on Resistive Switches—Part I: Logic Gates

    Simone Balatti;Stefano Ambrogio;Daniele Ielmini

  • Set Variability and Failure Induced by Complementary Switching in Bipolar RRAM

    S. Balatti;S. Ambrogio;D. C. Gilmer;D. Ielmini

  • Understanding switching variability and random telegraph noise in resistive RAM

    S. Ambrogio;S. Balatti;A. Cubeta;A. Calderoni

  • Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity

    V. Milo;G. Pedretti;R. Carboni;A. Calderoni

  • Noise-Induced Resistance Broadening in Resistive Switching Memory—Part II: Array Statistics

    Stefano Ambrogio;Simone Balatti;Vincent McCaffrey;Daniel C. Wang

Frequent Co-Authors

Daniele Ielmini
Daniele Ielmini Polytechnic University of Milan
Geoffrey W. Burr
Geoffrey W. Burr IBM (United States)
Andrea C. Ferrari
Andrea C. Ferrari University of Cambridge
Vijay Narayanan
Vijay Narayanan IBM (United States)
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Alessandro S. Spinelli
Alessandro S. Spinelli Polytechnic University of Milan
Giulio Cerullo
Giulio Cerullo Polytechnic University of Milan
Max C. Lemme
Max C. Lemme RWTH Aachen University
Hangbing Lv
Hangbing Lv Chinese Academy of Sciences
Deji Akinwande
Deji Akinwande The University of Texas at Austin

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