World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
11104
World Ranking
3477
National Ranking
1282

B.D. Van Veen 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 B.D. Van Veen 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: 156 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

B.D. Van Veen 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 B.D. Van Veen 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: 45 D-Index — 50th percentile

50% 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

  • 2002 - IEEE Fellow For contributions to the development of subspace signal processing algorithms

Overview

B.D. Van Veen is a researcher affiliated with the University of Wisconsin-Madison in the United States. Their work spans across multiple fields, focusing primarily on engineering, computer science, and psychology. Within these broad disciplines, Van Veen's research covers several subfields, including aerospace engineering, computational theory and mathematics, biomedical engineering, developmental and educational psychology, and experimental and cognitive psychology.

The scientist's research topics include an emphasis on topological and geometric data analysis, visual and cognitive learning processes, antenna design and analysis, advanced neuroimaging techniques and applications, innovative teaching and learning methods, functional brain connectivity studies, and microwave imaging and scattering analysis.

Van Veen has contributed to a variety of peer-reviewed publications in reputable venues. Their recent papers include:

  • "A Pilot Study of the Impact of Microwave Ablation on the Dielectric Properties of Breast Tissue" (2020, Sensors)
  • "Synthesis of Symmetric, Two-Element Biomimetic Antenna Arrays Using Singular Value Decomposition" (2023, IEEE Open Journal of Antennas and Propagation)
  • "An Electronically Reconfigurable Matching and Decoupling Network for Two-Element HF Antenna Arrays" (2024, IEEE Transactions on Antennas and Propagation)
  • "Development of an Intelligent Tutoring System That Assesses Internal Visualization Skills in Engineering Using Multimodal Triangulation" (2024, IEEE Transactions on Learning Technologies)
  • "Fast Topological Clustering with Wasserstein Distance" (2021, arXiv (Cornell University))

Van Veen frequently collaborates with a team of fellow researchers, including Tananun Songdechakraiwut, Nader Behdad, Martina A. Rau, Bryan M. Krause, and Matthew I. Banks. These collaborative efforts contribute to the interdisciplinary nature of their work.

Their research has been published multiple times in specific venues such as:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Transactions on Learning Technologies
  • IEEE Open Journal of Antennas and Propagation
  • IEEE Transactions on Antennas and Propagation

In recognition of their contributions to engineering, B.D. Van Veen was named an IEEE Fellow in 2002 for work in the development of subspace signal processing algorithms.

Best Publications

  • Localization of brain electrical activity via linearly constrained minimum variance spatial filtering

    B.D. Van Veen;W. Van Drongelen;M. Yuchtman;A. Suzuki

  • Microwave imaging via space-time beamforming for early detection of breast cancer

    E.J. Bond;Xu Li;S.C. Hagness;B.D. Van Veen

  • An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection

    Xu Li;E.J. Bond;B.D. Van Veen;S.C. Hagness

  • Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms

    Xu Li;S.K. Davis;S.C. Hagness;D.W. van der Weide

  • Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast

    E. Zastrow;S.K. Davis;M. Lazebnik;F. Kelcz

  • Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique.

    Jacob D. Shea;Panagiotis Kosmas;Susan C. Hagness;Barry D. Van Veen

  • MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation

    M. J. Burfeindt;T. J. Colgan;R. O. Mays;J. D. Shea

  • Random and pseudorandom inputs for Volterra filter identification

    R.D. Nowak;B.D. Van Veen

  • Breast Tumor Characterization Based on Ultrawideband Microwave Backscatter

    S.K. Davis;B.D. Van Veen;S.C. Hagness;F. Kelcz

  • Contrast-enhanced microwave imaging of breast tumors: a computational study using 3D realistic numerical phantoms

    J D Shea;P Kosmas;B D Van Veen;S C Hagness

  • Three-Dimensional Microwave Breast Imaging: Dispersive Dielectric Properties Estimation Using Patient-Specific Basis Functions

    D.W. Winters;J.D. Shea;P. Kosmas;B.D. Van Veen

  • Ultrawideband microwave breast cancer detection: a detection-theoretic approach using the generalized likelihood ratio test

    S.K. Davis;H. Tandradinata;S.C. Hagness;B.D. Van Veen

  • Causal Network Inference Via Group Sparse Regularization

    A Bolstad;B D Van Veen;R Nowak

  • Estimation of the Frequency-Dependent Average Dielectric Properties of Breast Tissue Using a Time-Domain Inverse Scattering Technique

    D.W. Winters;E.J. Bond;B.D. Van Veen;S.C. Hagness

  • Ultrawide-band microwave space-time beamforming for hyperthermia treatment of breast cancer: a computational feasibility study

    M. Converse;E.J. Bond;S.C. Hagness;B.D. Van Veen

  • Partially adaptive beamformer design via output power minimization

    B. Van Veen;R. Roberts

  • Estimating the Breast Surface Using UWB Microwave Monostatic Backscatter Measurements

    D.W. Winters;J.D. Shea;E.L. Madsen;G.R. Frank

  • Baseband Volterra filters for implementing carrier based nonlinearities

    G.M. Raz;B.D. van Veen

  • Minimum variance beamforming with soft response constraints

    B.D. van Veen

  • Eigenstructure based partially adaptive array design

    B.D. Van Veen

Frequent Co-Authors

Susan C. Hagness
Susan C. Hagness University of Wisconsin–Madison
Akbar M. Sayeed
Akbar M. Sayeed Independent Scientist / Consultant, US
Robert Nowak
Robert Nowak University of Wisconsin–Madison
John H. Booske
John H. Booske University of Wisconsin–Madison
Jianzhong Zhang
Jianzhong Zhang Samsung (United States)
Louis L. Scharf
Louis L. Scharf Colorado State University
Nader Behdad
Nader Behdad University of Wisconsin–Madison
Eko N. Onggosanusi
Eko N. Onggosanusi Samsung (United States)
Zoya Popovic
Zoya Popovic University of Colorado Boulder
Richard G. Baraniuk
Richard G. Baraniuk Rice University

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