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D-Index & Metrics

Mathematics

D-Index
38
Citations
7635
World Ranking
2305
National Ranking
976

John J. Benedetto publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where John J. Benedetto sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 181 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

John J. Benedetto D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where John J. Benedetto sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2016 - SIAM Fellow For contributions to applied harmonic analysis, especially sampling theory and frames theory.
  • 2015 - Fellow of the American Mathematical Society For contributions to theoretical and applied harmonic analysis as well as for editorial service, mentoring, and professional leadership.

Overview

John J. Benedetto is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple disciplines within mathematics and computer science, primarily focusing on applied mathematics and computer vision and pattern recognition. Other areas of study include mathematical physics, computational mechanics, and atomic and molecular physics and optics.

Research topics covered by Benedetto include:

  • Mathematical Analysis and Transform Methods
  • Image and Signal Denoising Methods
  • Advanced Banach Space Theory
  • Sparse and Compressive Sensing Techniques
  • Optical and Acousto-Optic Technologies
  • Advanced Data Compression Techniques

Benedetto has contributed to the following publications:

  • Haar approximation from within for Lp(ℝd), 0<p<1, 2021, Sampling Theory Signal Processing and Data Analysis
  • Reactive Sensing and Multiplicative Frame Super-Resolution, 2021, IEEE Transactions on Information Theory
  • Uniqueness theory for model sets, and spectral superresolution, 2021, Rendiconti Lincei Matematica e Applicazioni
  • A Generalization of Gleason's Frame Function for Quantum Measurement, 2020, arXiv (Cornell University)

Frequent co-authors include Paul J. Koprowski, John S. Nolan, Franck Olivier Ndjakou Njeunje, Michael R. Dellomo, and Chenzhi Zhao.

Benedetto's papers have appeared in venues such as Sampling Theory Signal Processing and Data Analysis, IEEE Transactions on Information Theory, Rendiconti Lincei Matematica e Applicazioni, and arXiv (Cornell University).

Their work lies at the intersection of several domains within mathematics and computer science, addressing problems related to signal processing, harmonic analysis, and frame theory.

Benedetto has been recognized with several fellowships, including:

  • SIAM Fellow (2016) for contributions to applied harmonic analysis, especially sampling theory and frames theory.
  • Fellow of the American Mathematical Society (2015) for contributions to theoretical and applied harmonic analysis as well as for editorial service, mentoring, and professional leadership.

Best Publications

  • Studies in Advanced Mathematics

    Steven R. Bell;John J. Benedetto;Michael W. Frazier

  • Finite Normalized Tight Frames

    John J. Benedetto;Matthew Fickus

  • The Theory of Multiresolution Analysis Frames and Applications to Filter Banks

    John J. Benedetto;Shidong Li

  • Wavelets: Mathematics and Applications

    John J. Benedetto;Michael W. Frazier;Bruno Torrésani

  • Sigma-delta (/spl Sigma//spl Delta/) quantization and finite frames

    J.J. Benedetto;A.M. Powell;O. Yilmaz

  • Irregular sampling and frames

    John J. Benedetto

  • Applied and numerical harmonic analysis

    John Benedetto

  • Differentiation and the Balian-Low Theorem

    John J. Benedetto;Christopher Heil;David F. Walnut

  • Harmonic analysis and applications

    John J. Benedetto

  • A wavelet theory for local fields and related groups

    John J. Benedetto;John J. Benedetto;Robert L. Benedetto;Robert L. Benedetto

  • Sigma-delta quantization and finite frames

    J.J. Benedetto;O. Yilmaz;A.M. Powell

  • Modern Sampling Theory: Mathematics and Applications

    John Benedetto;Paulo J. S. G. Ferreira

  • Gabor frames for L2 and related spaces

    John J. Benedetto;David F. Walnut

  • Modern Sampling Theory

    John J. Benedetto;Paulo J. S. G. Ferreira

  • Phase-Coded Waveforms and Their Design

    J.J. Benedetto;I. Konstantinidis;M. Rangaswamy

  • Weighted Fourier Inequalities: New Proofs and Generalizations

    John J. Benedetto;Hans P. Heinig

  • Sampling multipliers and the Poisson Summation Formula

    John J. Benedetto;Georg Zimmermann

  • Integration and Modern Analysis

    John J. Benedetto;Wojciech Czaja

  • UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification

    Weiwei Sun;Avner Halevy;John J. Benedetto;Wojciech Czaja

  • Wavelet Frames: Multiresolution Analysis and Extension Principles

    John J. Benedetto;Oliver M. Treiber

Frequent Co-Authors

Christopher Heil
Christopher Heil Georgia Institute of Technology
Arye Nehorai
Arye Nehorai Washington University in St. Louis
Muralidhar Rangaswamy
Muralidhar Rangaswamy United States Air Force Research Laboratory
Yang Wang
Yang Wang Hong Kong University of Science and Technology

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