World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
4010
World Ranking
5422
National Ranking
241

Joe LoVetri 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 Joe LoVetri 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: 233 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Joe LoVetri 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 Joe LoVetri 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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Joe LoVetri is affiliated with the University of Manitoba in Canada and has made contributions primarily in the field of Engineering. Their research spans several subfields including Biomedical Engineering, Ocean Engineering, Mechanics of Materials, Electrical and Electronic Engineering, and Radiology, Nuclear Medicine and Imaging.

The central themes of LoVetri's work focus on Microwave Imaging and Scattering Analysis, Geophysical Methods and Applications, Ultrasonics and Acoustic Wave Propagation, Ultrasound Imaging and Elastography, Microwave and Dielectric Measurement Techniques, Geophysical and Geoelectrical Methods, and Electromagnetic Compatibility and Measurements.

LoVetri has a significant record of publications in a range of scientific venues. Frequent publication outlets include:

  • IEEE Open Journal of Antennas and Propagation
  • Journal of Imaging
  • IEEE Access
  • IEEE Antennas and Propagation Magazine
  • 2022 16th European Conference on Antennas and Propagation (EuCAP)

Their recent scholarly papers demonstrate an emphasis on imaging technologies and applications. Notable works include:

  • "Full 3D Microwave Breast Imaging Using a Deep-Learning Technique," 2020, Journal of Imaging
  • "Tissue-Type Classification With Uncertainty Quantification of Microwave and Ultrasound Breast Imaging: A Deep Learning Approach," 2020, IEEE Access
  • "Innovations in Electromagnetic Imaging Technology: The Stored-Grain-Monitoring Case," 2020, IEEE Antennas and Propagation Magazine
  • "Improved Tumor Detection via Quantitative Microwave Breast Imaging Using Eigenfunction-Based Prior," 2020, IEEE Transactions on Computational Imaging
  • "CNN for Compressibility to Permittivity Mapping for Combined Ultrasound-Microwave Breast Imaging," 2021, IEEE Journal on Multiscale and Multiphysics Computational Techniques

Throughout their career, LoVetri has collaborated frequently with several co-authors, notably including:

  • Ian Jeffrey
  • Mohammad Asefi
  • Colin Gilmore
  • Vahab Khoshdel
  • Max Hughson

These collaborations and publication venues collectively reflect a research focus integrating advanced electromagnetic and acoustic imaging with deep learning methodologies, particularly in biomedical imaging contexts such as breast cancer detection.

Best Publications

  • A Wideband Microwave Tomography System With a Novel Frequency Selection Procedure

    C. Gilmore;P. Mojabi;A. Zakaria;M. Ostadrahimi

  • Finite-element contrast source inversion method for microwave imaging

    Amer Zakaria;Colin Gilmore;Joe LoVetri

  • Overview and Classification of Some Regularization Techniques for the Gauss-Newton Inversion Method Applied to Inverse Scattering Problems

    P. Mojabi;J. LoVetri

  • Microwave Biomedical Imaging Using the Multiplicative Regularized Gauss--Newton Inversion

    P. Mojabi;J. LoVetri

  • Comparison of an Enhanced Distorted Born Iterative Method and the Multiplicative-Regularized Contrast Source Inversion method

    C. Gilmore;P. Mojabi;J. LoVetri

  • Analysis of Incident Field Modeling and Incident/Scattered Field Calibration Techniques in Microwave Tomography

    M. Ostadrahimi;P. Mojabi;C. Gilmore;A. Zakaria

  • A comparison of numerical techniques for modeling electromagnetic dispersive media

    R. Siushansian;J. LoVetri

  • Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation

    C. Gilmore;I. Jeffrey;J. LoVetri

  • Microwave imaging of human forearms: pilot study and image enhancement

    Colin Gilmore;Amer Zakaria;Stephen Pistorius;Joe LoVetri

  • Enhancement of Gauss–Newton Inversion Method for Biological Tissue Imaging

    Majid Ostadrahimi;Puyan Mojabi;Amer Zakaria;Joe LoVetri

  • On Super-Resolution With an Experimental Microwave Tomography System

    Colin Gilmore;Puyan Mojabi;Amer Zakaria;Stephen Pistorius

  • A Near-Field Dual Polarized (TE–TM) Microwave Imaging System

    M. Ostadrahimi;A. Zakaria;J. LoVetri;L. Shafai

  • FULL-VECTORIAL PARALLEL FINITE-ELEMENT CONTRAST SOURCE INVERSION METHOD

    Amer Zakaria;Ian Jeffrey;Joe LoVetri

  • Breast Imaging Using Microwave Tomography with Radar-Based Tissue-Regions Estimation

    Anastasia Baran;Douglas J. Kurrant;Amer Zakaria;Elise C. Fear

  • A Novel Microwave Tomography System Based on the Scattering Probe Technique

    M. Ostadrahimi;P. Mojabi;S. Noghanian;L. Shafai

  • Finite-difference analysis of dispersive transmission lines within a circuit simulator

    B. Kordi;J. LoVetri;G.E. Bridges

  • Enhancement of microwave tomography through the use of electrically conducting enclosures

    Colin Gilmore;Joe LoVetri

  • Full 3D Microwave Breast Imaging Using a Deep-Learning Technique.

    Vahab Khoshdel;Mohammad Asefi;Ahmed Ashraf;Joe LoVetri

  • Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.

    Vahab Khoshdel;Ahmed Ashraf;Joe LoVetri

  • An Experimental Phantom Study for Air-Based Quasi-Resonant Microwave Breast Imaging

    Mohammad Asefi;Anastasia Baran;Joe LoVetri

  • Incorporation of Ultrasonic Prior Information for Improving Quantitative Microwave Imaging of Breast

    Nasim Abdollahi;Douglas Kurrant;Pedram Mojabi;Muhammad Omer

  • Integrating prior information into microwave tomography Part 1: Impact of detail on image quality

    Douglas Kurrant;Anastasia Baran;Joe LoVetri;Elise Fear

Frequent Co-Authors

Elise C. Fear
Elise C. Fear University of Calgary
Lotfollah Shafai
Lotfollah Shafai University of Manitoba
Jitendra Paliwal
Jitendra Paliwal University of Manitoba
David G. Barber
David G. Barber University of Manitoba
Peter Russer
Peter Russer Technical University of Munich
Tommaso Isernia
Tommaso Isernia University of Reggio Calabria
Christophe Fumeaux
Christophe Fumeaux University of Queensland
Lorenzo Crocco
Lorenzo Crocco National Research Council (CNR)
Aria Abubakar
Aria Abubakar Schlumberger (United States)

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