World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
64
Citations
23474
World Ranking
1263
National Ranking
523

Computer Science

D-Index
65
Citations
23983
World Ranking
2407
National Ranking
1203

Ivan W. Selesnick 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 Ivan W. Selesnick 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: 249 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Ivan W. Selesnick 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 Ivan W. Selesnick 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: 64 D-Index — 82nd percentile

82% 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 wavelet and sparsity based signal processing

Overview

Ivan W. Selesnick is affiliated with New York University in the United States. Their research spans several fields including Engineering, Computer Science, and Medicine, with a focus on subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Control and Systems Engineering, and Civil and Structural Engineering.

The topics frequently addressed in their work include Image and Signal Denoising Methods, Sparse and Compressive Sensing Techniques, Photoacoustic and Ultrasonic Imaging, Structural Health Monitoring Techniques, Machine Fault Diagnosis Techniques, Advanced Image Fusion Techniques, and Glaucoma and retinal disorders.

Among recent publications authored or coauthored by Ivan W. Selesnick are:

  • Non-convex Total Variation Regularization for Convex Denoising of Signals, 2020, Journal of Mathematical Imaging and Vision
  • Reweighted generalized minimax-concave sparse regularization and application in machinery fault diagnosis, 2020, ISA Transactions
  • Discriminative Dictionary Learning-Based Sparse Classification Framework for Data-Driven Machinery Fault Diagnosis, 2021, IEEE Sensors Journal
  • Ridge-Aware Weighted Sparse Time-Frequency Representation, 2020, IEEE Transactions on Signal Processing
  • Fault diagnosis for rolling bearings under unknown time-varying speed conditions with sparse representation, 2020, Journal of Sound and Vibration

Ivan W. Selesnick frequently collaborates with researchers including Abdullah Al-Shabili, John-Ross Rizzo, Todd E. Hudson, Janet C. Rucker, and Weiwei Dai.

Their research has been published in venues such as:

  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)
  • Pattern Recognition Letters
  • IEEE Transactions on Image Processing
  • Journal of Mathematical Imaging and Vision

Ivan W. Selesnick was recognized as an IEEE Fellow in 2016 for contributions to wavelet and sparsity-based signal processing.

Best Publications

  • Introduction to Wavelets and Wavelet Transforms: A Primer

    C. S. Burrus;Ramesh A. Gopinath;Haitao Guo;Jan E. Odegard

  • The dual-tree complex wavelet transform

    I.W. Selesnick;R.G. Baraniuk;N.C. Kingsbury

  • Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency

    L. Sendur;I.W. Selesnick

  • Bivariate shrinkage with local variance estimation

    L. Sendur;I.W. Selesnick

  • Wavelet Transform With Tunable Q-Factor

    I. W. Selesnick

  • Hilbert transform pairs of wavelet bases

    I.W. Selesnick

  • Generalized digital Butterworth filter design

    I.W. Selesnick;C.S. Burrus

  • The double-density dual-tree DWT

    I.W. Selesnick

  • Sparse Regularization via Convex Analysis

    Ivan Selesnick

  • The design of approximate Hilbert transform pairs of wavelet bases

    I.W. Selesnick

  • Wavelet based speckle reduction with application to SAR based ATD/R

    H. Guo;J.E. Odegard;M. Lang;R.A. Gopinath

  • Full length article: Emerging applications of wavelets: A review

    Ali N. Akansu;Wouter A. Serdijn;Ivan W. Selesnick

  • Resonance-based signal decomposition: A new sparsity-enabled signal analysis method

    Ivan W. Selesnick

  • Video denoising using 2D and 3D dual-tree complex wavelet transforms

    Ivan W. Selesnick;Ke Yong Li

  • Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization

    Po-Yu Chen;Ivan W. Selesnick

  • Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

    Shibin Wang;Ivan Selesnick;Gaigai Cai;Yining Feng

  • Chromatogram baseline estimation and denoising using sparsity (BEADS)

    Xiaoran Ning;Ivan W. Selesnick;Laurent Duval;Laurent Duval

  • Constrained least square design of FIR filters without specified transition bands

    I.W. Selesnick;M. Lang;C.S. Burrus

  • Signal restoration with overcomplete wavelet transforms: comparison of analysis and synthesis priors

    Ivan W. Selesnick;Mário A. T. Figueiredo

  • The slantlet transform

    I.W. Selesnick

Frequent Co-Authors

C.S. Burrus
C.S. Burrus Rice University
Hossein Rabbani
Hossein Rabbani Isfahan University of Medical Sciences
Yao Wang
Yao Wang New York University
Laura J. Balcer
Laura J. Balcer New York University
Xuefeng Chen
Xuefeng Chen Xi'an Jiaotong University
Yanyang Zi
Yanyang Zi Xi'an Jiaotong University
Ramesh A. Gopinath
Ramesh A. Gopinath IBM (United States)
Saeed Gazor
Saeed Gazor Queen's University
Braham Himed
Braham Himed United States Air Force Research Laboratory
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)

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 those exploring Electronics and Electrical Engineering, online education offers flexible options tailored to diverse needs. Military spouses and dependents, for example, can benefit greatly from online schools for military spouses that provide adaptable schedules and supportive communities. This flexibility is essential for managing both education and family responsibilities.

If you’re eager to start your degree without delay, consider online colleges that start soon, which offer frequent enrollment options. These programs allow you to jump into coursework quickly, speeding up your path to graduation and employment.

For those looking to enhance their skills swiftly, quick certifications that pay well can be an excellent choice. Short-term certificates in specialized technical areas can boost your employability and salary prospects in a competitive job market.

Finally, many roles in electronics and electrical engineering suit individuals who prefer less social interaction. Exploring good paying jobs for introverts can highlight career pathways that align with personal work styles, ensuring job satisfaction alongside financial reward.

Best Scientists Citing Ivan W. Selesnick

Trending Scientists

Recently Published Articles