World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
5768
World Ranking
4349
National Ranking
1542

Gary J. Saulnier 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 Gary J. Saulnier 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: 231 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Gary J. Saulnier 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 Gary J. Saulnier 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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Electrical engineering
  • Signal

Gary J. Saulnier spends much of his time researching Electronic engineering, Electrical engineering, Signal, Acoustics and Spread spectrum. His work carried out in the field of Electronic engineering brings together such families of science as Demodulation, Phase-shift keying, Detector, Interference and Bit error rate. Gary J. Saulnier studied Signal and Decoding methods that intersect with Fourier series, Fourier transform, Power-line communication, Total harmonic distortion and Synchronization.

His Acoustics research incorporates themes from Amplitude, Oversampling and Voltage. His research in Voltage tackles topics such as Inverse problem which are related to areas like Tomography and Electrical impedance tomography. His Spread spectrum research is multidisciplinary, incorporating perspectives in Digital filter, Adaptive filter and Communications system.

His most cited work include:

  • ACT3: a high-speed, high-precision electrical impedance tomograph (230 citations)
  • Ultrasonic Through-Wall Communication (UTWC) System (228 citations)
  • Current source design for electrical impedance tomography. (139 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Electronic engineering, Spread spectrum, Acoustics, Electrical impedance tomography and Communication channel. His Electronic engineering study combines topics in areas such as Demodulation, Signal, Detector, Bit error rate and Orthogonal frequency-division multiplexing. The concepts of his Spread spectrum study are interwoven with issues in Adaptive filter, Narrowband and Interference.

His work in the fields of Transducer, Ultrasonic sensor and Acoustic wave overlaps with other areas such as Shear waves. His research in Electrical impedance tomography intersects with topics in Reconstruction algorithm, Iterative reconstruction and Mammography. His study in Communication channel is interdisciplinary in nature, drawing from both Throughput and Data transmission.

He most often published in these fields:

  • Electronic engineering (49.11%)
  • Spread spectrum (25.00%)
  • Acoustics (20.09%)

What were the highlights of his more recent work (between 2009-2017)?

  • Acoustics (20.09%)
  • Transducer (12.05%)
  • Electrical impedance tomography (17.41%)

In recent papers he was focusing on the following fields of study:

His main research concerns Acoustics, Transducer, Electrical impedance tomography, Ultrasonic sensor and Electronic engineering. The concepts of his Acoustics study are interwoven with issues in Maximum power transfer theorem, Signal and Communication channel. His research on Transducer concerns the broader Electrical engineering.

The Electrical impedance tomography study combines topics in areas such as Kaczmarz method, Algorithm, Geometry and Reconstruction algorithm. Gary J. Saulnier has researched Ultrasonic sensor in several fields, including Cylinder and Signal-to-noise ratio. His Electronic engineering study incorporates themes from Wireless, Data transmission, Transmission, Power transmission and Orthogonal frequency-division multiplexing.

Between 2009 and 2017, his most popular works were:

  • A high-performance ultrasonic system for the simultaneous transmission of data and power through solid metal barriers (44 citations)
  • Penetration-free system for transmission of data and power through solid metal barriers (29 citations)
  • A full-duplex ultrasonic through-wall communication and power delivery system (22 citations)

In his most recent research, the most cited papers focused on:

  • Telecommunications
  • Electrical engineering
  • Algorithm

Gary J. Saulnier mainly focuses on Acoustics, Transducer, Ultrasonic sensor, Electronic engineering and Power transmission. Gary J. Saulnier combines subjects such as Regularization, Finite element method, Sensitivity, Boundary and Electrical impedance with his study of Acoustics. His work deals with themes such as Maximum power transfer theorem and Electromagnetic shielding, which intersect with Transducer.

Gary J. Saulnier has included themes like Piezoelectricity, Transmission, Signal and Smart transducer in his Ultrasonic sensor study. His Transmission study which covers Orthogonal frequency-division multiplexing that intersects with Throughput. His work carried out in the field of Electronic engineering brings together such families of science as Data transmission and Artifact.

Best Publications

  • ACT3: a high-speed, high-precision electrical impedance tomograph

    G.J. Saulnier;R.D. Cook;D.G. Gisser;J.C. Goble

  • Ultrasonic Through-Wall Communication (UTWC) System

    Gary Saulnier;Henry Scarton;David Shoudy;Pankaj Das

  • Current source design for electrical impedance tomography.

    Alexander S Ross;G J Saulnier;J C Newell;D Isaacson

  • Electrical impedance tomography

    G.J. Saulnier;R.S. Blue;J.C. Newell;D. Isaacson

  • General ICI self-cancellation scheme for OFDM systems

    A. Seyedi;G.J. Saulnier

  • Differential detection of pi /4-shifted-DQPSK for digital cellular radio

    S. Chennakeshu;G.J. Saulnier

  • A real-time electrical impedance tomograph

    P.M. Edic;G.J. Saulnier;J.C. Newell;D. Isaacson

  • A Reconstruction Algorithm for Breast Cancer Imaging With Electrical Impedance Tomography in Mammography Geometry

    Myoung Hwan Choi;Tzu-Jen Kao;D. Isaacson;G.J. Saulnier

  • A high-performance ultrasonic system for the simultaneous transmission of data and power through solid metal barriers

    T. J. Lawry;J. D. Ashdown;H. A. Scarton;G. J. Saulnier

  • Suppression of narrowband jammers in a spread-spectrum receiver using transform-domain adaptive filtering

    G.J. Saulnier

  • Narrow-band interference excision in spread spectrum systems using lapped transforms

    M.J. Medley;G.J. Saulnier;P.K. Das

  • P1G-4 Through-Wall Communication of Low-Rate Digital Data Using Ultrasound

    G.J. Saulnier;H.A. Scarton;A.J. Gavens;D.A. Shoudy

  • P3F-5 An Ultrasonic Through-Wall Communication System with Power Harvesting

    D.A. Shoudy;G.J. Saulnier;H.A. Scarton;P.K. Das

  • Digital discriminator for pulse shaped π/4 shifted differentially encoded quadrature phase shift keying

    Sandeep Chennakeshu;Gary Jude Saulnier

  • High-speed electric tomography

    Gary J. Saulnier;David G. Gisser;Jonathan C. Newell;Raymond D. Cook

  • Spacecraft TDMA communications system with synchronization by spread spectrum overlay channel

    John Erik Hershey;Stephen Michael Hladik;Gary Jude Saulnier

  • A 3D reconstruction algorithm for EIT using a handheld probe for breast cancer detection.

    Tzu-Jen Kao;D Isaacson;J C Newell;G J Saulnier

  • An adaptive correlator receiver for direct-sequence spread-spectrum communication

    C.N. Pateros;G.J. Saulnier

  • An Adaptive Digital Suppression Filter for Direct-Sequence Spread-Spectrum Communications

    G. Saulnier;P. Das;L. Milstein

  • A method for analyzing electrical impedance spectroscopy data from breast cancer patients

    Bong Seok Kim;David Isaacson;Hongjun Xia;Tzu-Jen Kao

  • An Electrical Impedance Spectroscopy System for Breast Cancer Detection

    G.J. Saulnier;Ning Liu;C. Tamma;Hongjun Xia

Frequent Co-Authors

David Isaacson
David Isaacson Rensselaer Polytechnic Institute
Jonathan C. Newell
Jonathan C. Newell Rensselaer Polytechnic Institute
John Erik Hershey
John Erik Hershey General Electric (United States)
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Daniel B. Kopans
Daniel B. Kopans Harvard University
Lingjia Liu
Lingjia Liu Virginia Tech
Tong Zhang
Tong Zhang Rensselaer Polytechnic Institute
Ali N. Akansu
Ali N. Akansu New Jersey Institute of Technology

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