World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
17424
World Ranking
878
National Ranking
371

Fabrizio Lombardi 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 Fabrizio Lombardi 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: 694 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Fabrizio Lombardi 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 Fabrizio Lombardi 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: 71 D-Index — 88th percentile

88% 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

  • 2009 - IEEE Fellow For contributions to testing and fault tolerance of digital systems

Overview

Fabrizio Lombardi is affiliated with Northeastern University in the United States and has made significant contributions in the fields of Computer Science and Engineering. Their work primarily spans Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, and Computational Theory and Mathematics.

Their research interests focus on several key topics including:

  • Low-power high-performance VLSI design
  • Advanced Memory and Neural Computing
  • Radiation Effects in Electronics
  • Advancements in Semiconductor Devices and Circuit Design
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Applications
  • Adversarial Robustness in Machine Learning

Lombardi has authored numerous publications, with frequent contributions to the following venues:

  • Proceedings of the IEEE
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • IEEE Nanotechnology Magazine

Some of the recent papers include:

  • "A Retrospective and Prospective View of Approximate Computing [Point of View]" (2020), Proceedings of the IEEE
  • "A Survey of Stochastic Computing Neural Networks for Machine Learning Applications" (2020), IEEE Transactions on Neural Networks and Learning Systems
  • "High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning" (2020), IEEE Transactions on Sustainable Computing
  • "Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers" (2020), IEEE Transactions on Emerging Topics in Computing

Lombardi collaborates frequently with several co-authors, including:

  • Shanshan Liu
  • Pedro Reviriego
  • Weiqiang Liu
  • Leila De Floriani
  • Paolo Montuschi

The scientist was recognized as an IEEE Fellow in 2009 for contributions to testing and fault tolerance of digital systems.

Best Publications

  • CNTFET-Based Design of Ternary Logic Gates and Arithmetic Circuits

    Sheng Lin;Yong-Bin Kim;Fabrizio Lombardi

  • Design and Analysis of Approximate Compressors for Multiplication

    Amir Momeni;Jie Han;Paolo Montuschi;Fabrizio Lombardi

  • New Metrics for the Reliability of Approximate and Probabilistic Adders

    Jinghang Liang;Jie Han;F. Lombardi

  • Two-Dimensional Schemes for Clocking/Timing of QCA Circuits

    V. Vankamamidi;M. Ottavi;F. Lombardi

  • Approximate XOR/XNOR-based adders for inexact computing

    Zhixi Yang;Ajaypat Jain;Jinghang Liang;Jie Han

  • A low-power, high-performance approximate multiplier with configurable partial error recovery

    Cong Liu;Jie Han;Fabrizio Lombardi

  • Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

    Weiqiang Liu;Liangyu Qian;Chenghua Wang;Honglan Jiang

  • A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits

    Honglan Jiang;Cong Liu;Leibo Liu;Fabrizio Lombardi

  • Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation

    Honglan Jiang;Jie Han;Fei Qiao;Fabrizio Lombardi

  • Testing of quantum cellular automata

    M.B. Tahoori;Jing Huang;M. Momenzadeh;F. Lombardi

  • A Comparative Review and Evaluation of Approximate Adders

    Honglan Jiang;Jie Han;Fabrizio Lombardi

  • Protocol conformance testing using multiple UIO sequences

    Y.-N. Shen;F. Lombardi;A.T. Dahbura

  • A novel CNTFET-based ternary logic gate design

    Sheng Lin;Yong-Bin Kim;Fabrizio Lombardi

  • Characterization, test, and logic synthesis of and-or-inverter (AOI) gate design for QCA implementation

    M. Momenzadeh;Jing Huang;M.B. Tahoori;F. Lombardi

  • A Survey of Stochastic Computing Neural Networks for Machine Learning Applications

    Yidong Liu;Siting Liu;Yanzhi Wang;Fabrizio Lombardi

  • Design of a Ternary Memory Cell Using CNTFETs

    Sheng Lin;Yong-Bin Kim;F. Lombardi

  • Defects and faults in quantum cellular automata at nano scale

    M.B. Tahoori;M. Momenzadeh;Jin Huang;F. Lombardi

  • A Retrospective and Prospective View of Approximate Computing [Point of View}

    Weiqiang Liu;Fabrizio Lombardi;Michael Shulte

  • Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications

    Weiqiang Liu;Jiahua Xu;Danye Wang;Chenghua Wang

  • On the Repair of Redundant RAM's

    Chin-Long Wey;F. Lombardi

  • A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation

    Jie Han;Hao Chen;Jinghang Liang;Peican Zhu

  • Testing configurable LUT-based FPGA's

    Wei Kang Huang;F.J. Meyer;Xiao-Tao Chen;F. Lombardi

  • An approach for testing programmable/configurable field programmable gate arrays

    W.K. Huang;F. Lombardi

Frequent Co-Authors

Jie Han
Jie Han University of Alberta
Weiqiang Liu
Weiqiang Liu Nanjing University of Aeronautics and Astronautics
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Leibo Liu
Leibo Liu Tsinghua University
Laxmi N. Bhuyan
Laxmi N. Bhuyan University of California, Riverside
Carmine Vittoria
Carmine Vittoria Northeastern University
Maire O'Neill
Maire O'Neill Queen's University Belfast
Earl E. Swartzlander
Earl E. Swartzlander The University of Texas at Austin
Vincenzo Piuri
Vincenzo Piuri University of Milan

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