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Matteo Sonza Reorda

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 47 3175 3041 86 85 594 10575
Computer Science 48 6125 5950 140 138 608 10747

Matteo Sonza Reorda publications per year

The chart shows the history of publications by Matteo Sonza Reorda between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matteo Sonza Reorda published across 38 years, from 1988 to 2025, averaging 17.6 papers a year. Output peaked at 32 publications in 2023. 47 of the 670 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2023. 1988: 1 publication 1989: 3 publications 1990: 7 publications 1991: 6 publications 1992: 8 publications 1993: 5 publications 1994: 9 publications 1995: 12 publications 1996: 19 publications 1997: 17 publications 1998: 18 publications 1999: 15 publications 2000: 27 publications 2001: 17 publications 2002: 26 publications 2003: 24 publications 2004: 25 publications 2005: 26 publications 2006: 16 publications 2007: 19 publications 2008: 13 publications 2009: 18 publications 2010: 18 publications 2011: 20 publications 2012: 15 publications 2013: 18 publications 2014: 20 publications 2015: 18 publications 2016: 19 publications 2017: 13 publications 2018: 19 publications 2019: 21 publications 2020: 28 publications 2021: 20 publications 2022: 31 publications 2023: 32 publications 2024: 23 publications 2025: 24 publications
1988 2025

670 publications in total across all disciplines

View publications per year as a table
Matteo Sonza Reorda: publications per year, 1988 to 2025
Year Publications
1988 1
1989 3
1990 7
1991 6
1992 8
1993 5
1994 9
1995 12
1996 19
1997 17
1998 18
1999 15
2000 27
2001 17
2002 26
2003 24
2004 25
2005 26
2006 16
2007 19
2008 13
2009 18
2010 18
2011 20
2012 15
2013 18
2014 20
2015 18
2016 19
2017 13
2018 19
2019 21
2020 28
2021 20
2022 31
2023 32
2024 23
2025 24
Total 670
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Matteo Sonza Reorda 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 Matteo Sonza Reorda 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, 594–613 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: 594 publications — 90th percentile

90% 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
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 69 594
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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Matteo Sonza Reorda 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 Matteo Sonza Reorda 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, 47 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: 47 D-Index — 54th percentile

54% 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
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160 47
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
Download as CSV

Overview

Matteo Sonza Reorda is affiliated with the Polytechnic University of Turin in Italy. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on Electrical and Electronic Engineering and Hardware and Architecture. Their work also engages with subfields such as Software, Artificial Intelligence, and Computer Networks and Communications.

Their research topics cover a range of specialized areas including:

  • Radiation Effects in Electronics
  • VLSI and Analog Circuit Testing
  • Parallel Computing and Optimization Techniques
  • Integrated Circuits and Semiconductor Failure Analysis
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Software Testing and Debugging Techniques

Matteo Sonza Reorda has published extensively in various venues. Their frequent publication venues include:

  • Electronics
  • IEEE Access
  • arXiv (Cornell University)
  • Microelectronics Reliability
  • IEEE Design and Test

Some recent papers illustrating their research contributions are:

  • "Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey," 2022, IEEE Access
  • "FlexGripPlus: An improved GPGPU model to support reliability analysis," 2020, Microelectronics Reliability
  • "Characterizing a Neutron-Induced Fault Model for Deep Neural Networks," 2022, IEEE Transactions on Nuclear Science
  • "Multilevel Simulation Methodology for FMECA Study Applied to a Complex Cyber-Physical System," 2020, Electronics
  • "An On-Line Testing Technique for the Scheduler Memory of a GPGPU," 2020, IEEE Access

Their frequent co-authors include:

  • Josie E. Rodriguez Condia
  • Juan-David Guerrero-Balaguera
  • Robert Limas Sierra
  • Riccardo Cantoro
  • Fernando Fernandes dos Santos

Best Publications

  • RT-level ITC'99 benchmarks and first ATPG results

    F. Corno;M.S. Reorda;G. Squillero

  • Microprocessor Software-Based Self-Testing

    Mihalis Psarakis;Dimitris Gizopoulos;Ernesto Sanchez;Matteo Sonza Reorda

  • Soft-error detection using control flow assertions

    O. Goloubeva;M. Rebaudengo;M. Sonza Reorda;M. Violante

  • On the Optimal Design of Triple Modular Redundancy Logic for SRAM-based FPGAs

    F.L. Kastensmidt;L. Sterpone;L. Carro;M.S. Reorda

  • Soft-error detection through software fault-tolerance techniques

    M. Rebaudengo;M. Sonza Reorda;M. Torchiano;M. Violante

  • Software-Implemented Hardware Fault Tolerance

    Olga Goloubeva;Maurizio Rebaudengo;Matteo Sonza Reorda;Massimo Violante

  • Automatic test program generation: a case study

    F. Corno;E. Sanchez;M.S. Reorda;G. Squillero

  • GATTO: a genetic algorithm for automatic test pattern generation for large synchronous sequential circuits

    F. Corno;P. Prinetto;M. Rebaudengo;M. Sonza Reorda

  • Low power BIST via non-linear hybrid cellular automata

    F. Corno;M. Rebaudengo;M.S. Reorda;G. Squillero

  • A test pattern generation methodology for low power consumption

    E. Corno;P. Prinetto;M. Rebaudengo;M.S. Reorda

  • A source-to-source compiler for generating dependable software

    M. Rebaudengo;M.S. Reorda;M. Violante;M. Torchiano

  • An automatic test pattern generator for large sequential circuits based on Genetic Algorithms

    P. Prinetto;M. Rebaudengo;M. Sonza Reorda

  • Evaluating the effects of SEUs affecting the configuration memory of an SRAM-based FPGA

    M. Bellato;P. Bernardi;D. Bortolato;A. Candelori

  • An FPGA-Based Approach for Speeding-Up Fault Injection Campaigns on Safety-Critical Circuits

    P. Civera;L. Macchiarulo;M. Rebaudengo;M. Sonza Reorda

  • Exploiting circuit emulation for fast hardness evaluation

    P. Civera;L. Macchiarulo;M. Rebaudengo;M.S. Reorda

  • Using Benchmarks for Radiation Testing of Microprocessors and FPGAs

    Heather Quinn;William H. Robinson;Paolo Rech;Miguel Aguirre

  • On the test of microprocessor IP cores

    F. Corno;M. Sonza Reorda;G. Squillero;M. Violante

  • A new hybrid fault detection technique for systems-on-a-chip

    P. Bernardi;L.M.V. Bolzani;M. Rebaudengo;M.S. Reorda

  • A diagnostic test pattern generation algorithm

    Unknown

  • Fully automatic test program generation for microprocessor cores

    Unknown

  • GALLO: a genetic algorithm for floorplan area optimization

    M. Rebaudengo;M.S. Reorda

  • An Accurate Analysis of the Effects of Soft Errors in the Instruction and Data Caches of a Pipelined Microprocessor

    M. Rebaudengo;M.S. Reorda;M. Violante

Frequent Co-Authors

Maurizio Rebaudengo
Maurizio Rebaudengo Polytechnic University of Turin
Fulvio Corno
Fulvio Corno Polytechnic University of Turin
Massimo Violante
Massimo Violante Polytechnic University of Turin
Zebo Peng
Zebo Peng Linköping University
Luigi Carro
Luigi Carro Federal University of Rio Grande do Sul
Said Hamdioui
Said Hamdioui Delft University of Technology
Bernd Becker
Bernd Becker University of Freiburg
Patrick Girard
Patrick Girard Montpellier Laboratory of Informatics, Robotics and Microelectronics
Alessandro Paccagnella
Alessandro Paccagnella University of Padua
Fernanda Lima Kastensmidt
Fernanda Lima Kastensmidt Federal University of Rio Grande do Sul

External Links

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Related Online Degrees & Career Pathways

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Best Scientists Citing Matteo Sonza Reorda

Massimo Violante

Massimo Violante

Polytechnic University of Turin

Publications: 74

Fernanda Lima Kastensmidt

Fernanda Lima Kastensmidt

Federal University of Rio Grande do Sul

Publications: 39

Patrick Girard

Patrick Girard

Montpellier Laboratory of Informatics, Robotics and Microelectronics

Publications: 31

Luigi Carro

Luigi Carro

Federal University of Rio Grande do Sul

Publications: 30

Maurizio Rebaudengo

Maurizio Rebaudengo

Polytechnic University of Turin

Publications: 30

Fulvio Corno

Fulvio Corno

Polytechnic University of Turin

Publications: 24

Dimitris Gizopoulos

Dimitris Gizopoulos

National and Kapodistrian University of Athens

Publications: 22

Hans-Joachim Wunderlich

Hans-Joachim Wunderlich

University of Stuttgart

Publications: 21

Bernd Becker

Bernd Becker

University of Freiburg

Publications: 21

Krishnendu Chakrabarty

Krishnendu Chakrabarty

Arizona State University

Publications: 20

Cheng-Wen Wu

Cheng-Wen Wu

National Tsing Hua University

Publications: 19

Xiaoqing Wen

Xiaoqing Wen

Kyushu Institute of Technology

Publications: 19

Michael Wirthlin

Michael Wirthlin

Brigham Young University

Publications: 16

Seiji Kajihara

Seiji Kajihara

Kyushu Institute of Technology

Publications: 16

Irith Pomeranz

Irith Pomeranz

Purdue University West Lafayette

Publications: 14

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Mehdi B. Tahoori

Karlsruhe Institute of Technology

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