World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
8266
World Ranking
3394
National Ranking
58

Massimo Alioto 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 Massimo Alioto 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: 383 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Massimo Alioto 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 Massimo Alioto 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: 46 D-Index — 52nd percentile

52% 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

  • 2016 - IEEE Fellow For contributions to energy-efficient VLSI circuits

Overview

Massimo Alioto is affiliated with the National University of Singapore in Singapore. Their research spans several fields within engineering, with a pronounced focus on electrical and electronic engineering. Alioto's work includes a significant contribution to biomedical engineering, hardware and architecture, computer vision and pattern recognition, and artificial intelligence.

The scientist's research topics cover a range of areas including analog and mixed-signal circuit design, physical unclonable functions (PUFs) and hardware security, advancements in semiconductor devices and circuit design, advanced memory and neural computing, low-power high-performance VLSI design, integrated circuits and semiconductor failure analysis, as well as semiconductor materials and devices.

Recent publications by Massimo Alioto include:

  • "Design of Digital OTAs With Operation Down to 0.3 V and nW Power for Direct Harvesting" (2021) in IEEE Transactions on Circuits and Systems I Regular Papers
  • "In-Memory Unified TRNG and Multi-Bit PUF for Ubiquitous Hardware Security" (2021) in IEEE Journal of Solid-State Circuits
  • "Fully Digital Rail-to-Rail OTA With Sub-1000-μm² Area, 250-mV Minimum Supply, and nW Power at 150-pF Load in 180 nm" (2020) in IEEE Solid-State Circuits Letters
  • "Fully Synthesizable Low-Area Analogue-to-Digital Converters With Minimal Design Effort Based on the Dyadic Digital Pulse Modulation" (2020) in IEEE Access
  • "Trimming-Less Voltage Reference for Highly Uncertain Harvesting Down to 0.25 V, 5.4 pW" (2021) in IEEE Journal of Solid-State Circuits

Frequent co-authors collaborating with Alioto include:

  • Amara Amara
  • Manuel Delgado-Restituto
  • Ricardo Reis
  • Nicole McFarlane
  • Alon Ascoli

Massimo Alioto's publications are frequently found in several IEEE venues, notably:

  • IEEE Transactions on Circuits and Systems I Regular Papers (48 publications)
  • IEEE Journal of Solid-State Circuits (15 publications)
  • IEEE Transactions on Circuits and Systems for Video Technology (11 publications)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems (6 publications)
  • IEEE Solid-State Circuits Letters (5 publications)

Alioto was named an IEEE Fellow in 2016 for contributions to energy-efficient VLSI circuits.

Best Publications

  • Ultra-Low Power VLSI Circuit Design Demystified and Explained: A Tutorial

    M. Alioto

  • Analysis and comparison on full adder block in submicron technology

    M. Alioto;G. Palumbo

  • Understanding the Effect of Process Variations on the Delay of Static and Domino Logic

    Massimo Alioto;Gaetano Palumbo;Melita Pennisi

  • Understanding DC Behavior of Subthreshold CMOS Logic Through Closed-Form Analysis

    Massimo Alioto

  • Model and Design of Bipolar and MOS Current-Mode Logic: CML, ECL and SCL Digital Circuits

    Massimo Alioto;Gaetano Palumbo

  • Enabling the Internet of Things: From Integrated Circuits to Integrated Systems

    Massimo Alioto

  • Leakage Power Analysis Attacks: A Novel Class of Attacks to Nanometer Cryptographic Circuits

    M. Alioto;L. Giancane;G. Scotti;A. Trifiletti

  • Analysis and Comparison in the Energy-Delay-Area Domain of Nanometer CMOS Flip-Flops: Part I—Methodology and Design Strategies

    M Alioto;E Consoli;G Palumbo

  • Design strategies for source coupled logic gates

    M. Alioto;G. Palumbo

  • General Strategies to Design Nanometer Flip-Flops in the Energy-Delay Space

    Massimo Alioto;Elio Consoli;Gaetano Palumbo

  • Analysis and Comparison in the Energy-Delay-Area Domain of Nanometer CMOS Flip-Flops: Part II—Results and Figures of Merit

    M Alioto;E Consoli;G Palumbo

  • Conditional push-pull pulsed latches with 726fJ·ps energy-delay product in 65nm CMOS

    Elio Consoli;Massimo Alioto;Gaetano Palumbo;Jan Rabaey

  • Leakage–Delay Tradeoff in FinFET Logic Circuits: A Comparative Analysis With Bulk Technology

    M. Agostinelli;M. Alioto;D. Esseni;L. Selmi

  • Variations in Nanometer CMOS Flip-Flops: Part I—Impact of Process Variations on Timing

    Massimo Alioto;Elio Consoli;Gaetano Palumbo

  • 14.3 15fJ/b static physically unclonable functions for secure chip identification with <2% native bit instability and 140× Inter/Intra PUF hamming distance separation in 65nm

    Anastacia Alvarez;Wenfeng Zhao;Massimo Alioto

  • A feedback strategy to improve the entropy of a chaos-based random bit generator

    T. Addabbo;M. Alioto;A. Fort;S. Rocchi

  • Mixed Full Adder topologies for high-performance low-power arithmetic circuits

    M. Alioto;G. Di Cataldo;G. Palumbo

  • A Class of Maximum-Period Nonlinear Congruential Generators Derived From the Rényi Chaotic Map

    T. Addabbo;M. Alioto;A. Fort;A. Pasini

  • Trends in Hardware Security: From basics to ASICs

    Massimo Alioto

  • Impact of Supply Voltage Variations on Full Adder Delay: Analysis and Comparison

    M. Alioto;G. Palumbo

  • Flip-Flop Energy/Performance Versus Clock Slope and Impact on the Clock Network Design

    Massimo Alioto;Elio Consoli;Gaetano Palumbo

  • Fully Synthesizable PUF Featuring Hysteresis and Temperature Compensation for 3.2% Native BER and 1.02 fJ/b in 40 nm

    Sachin Taneja;Anastacia B. Alvarez;Massimo Alioto

Frequent Co-Authors

Gaetano Palumbo
Gaetano Palumbo University of Catania
Ada Fort
Ada Fort University of Siena
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Felice Crupi
Felice Crupi University of Calabria
David Esseni
David Esseni University of Udine
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can open diverse career pathways. Many professionals supplement their technical expertise with credentials such as the 6 month programs that pay well, offering accelerated skill development in specialized areas.

Career options in this field often suit various personality types, including those who thrive in more independent settings. In fact, some of the high paying careers for introverts include technical roles within electrical and electronics disciplines, where focused and detail-oriented work is highly valued.

For those aiming to transition into leadership or managerial roles, pursuing an online project management degree accelerated can be an efficient way to gain relevant skills without interrupting their career progression. Similarly, completing a bachelor of project management provides foundational knowledge that supports managing large-scale engineering projects effectively.

Combining technical expertise with project management capabilities enhances employability and prepares graduates for dynamic roles across industries reliant on electronics and electrical engineering.

Best Scientists Citing Massimo Alioto

Trending Scientists

Recently Published Articles