World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
34
Citations
6971
World Ranking
2865
National Ranking
47

Engineering and Technology

D-Index
34
Citations
6782
World Ranking
9136
National Ranking
202

Isao Yamada 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 Isao Yamada 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: 299 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Isao Yamada 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 Isao Yamada 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: 34 D-Index — 21st percentile

21% 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

  • 2015 - IEEE Fellow For contributions to inverse problems and learning in signal processing

Overview

Isao Yamada is affiliated with the Tokyo Institute of Technology in Japan. Their research contributions span several interconnected scientific fields with a strong emphasis on engineering, computer science, and mathematics.

The scientist's main fields of study include:

  • Engineering
  • Computer Science
  • Mathematics

Within these fields, they have focused on several subfields, particularly:

  • Computational Mechanics
  • Computational Theory and Mathematics
  • Numerical Analysis
  • Computer Vision and Pattern Recognition
  • Signal Processing

The primary topics explored by Isao Yamada cover areas such as:

  • Sparse and Compressive Sensing Techniques
  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Structural Health Monitoring Techniques
  • Face and Expression Recognition
  • Blind Source Separation Techniques
  • Control Systems and Identification

Yamada has published extensively in several reputable venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • Optimization

Some recent representative papers authored or co-authored by Yamada include:

  • "A constrained LiGME model and its proximal splitting algorithm under overall convexity condition" (2022), Journal of Applied and Numerical Optimization
  • "Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression" (2023), IEEE Transactions on Signal Processing
  • "Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression" (2022), arXiv (Cornell University)
  • "Stable Robust Regression under Sparse Outlier and Gaussian Noise" (2022), 2022 30th European Signal Processing Conference (EUSIPCO)
  • "A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models" (2023), IEEE Transactions on Signal Processing

The scientist has collaborated frequently with several researchers, including:

  • Masao Yamagishi
  • Yi Zhang
  • Keita Kume
  • Wataru Yata
  • Masahiro Yukawa

Yamada was recognized with the IEEE Fellow award in 2015 for contributions to inverse problems and learning in signal processing.

Best Publications

  • Tensor completion and low-n-rank tensor recovery via convex optimization

    Silvia Gandy;Benjamin Recht;Isao Yamada

  • The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings

    Isao Yamada

  • Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis

    N Takahashi;I Yamada;A H Sayed

  • Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings

    Isao Yamada;Nobuhiko Ogura

  • Adaptive Learning in a World of Projections

    Sergios Theodoridis;Konstantinos Slavakis;Isao Yamada

  • Minimizing certain convex functions over the intersection of the fixed point sets of nonexpansive mappings

    F. Deutsch;I. Yamada

  • Adaptive Projected Subgradient Method for Asymptotic Minimization of Sequence of Nonnegative Convex Functions

    Isao Yamada;Nobuhiko Ogura

  • An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques

    I. Yamada;K. Slavakis;K. Yamada

  • Online Kernel-Based Classification Using Adaptive Projection Algorithms

    K. Slavakis;S. Theodoridis;I. Yamada

  • Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization

    Shunsuke Ono;Takamichi Miyata;Isao Yamada

  • A Use of Conjugate Gradient Direction for the Convex Optimization Problem over the Fixed Point Set of a Nonexpansive Mapping

    Hideaki Iiduka;Isao Yamada

  • Compositions and convex combinations of averaged nonexpansive operators

    Patrick L. Combettes;Isao Yamada

  • Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings

    Isao Yamada;Masahiro Yukawa;Masao Yamagishi

  • A sparse adaptive filtering using time-varying soft-thresholding techniques

    Yukihiro Murakami;Masao Yamagishi;Masahiro Yukawa;Isao Yamada

  • A numerically robust hybrid steepest descent method for the convexly constrained generalized inverse problems

    I. Yamada

  • Robust Wideband Beamforming by the Hybrid Steepest Descent Method

    K. Slavakis;I. Yamada

  • Quadratic optimization of fixed points of nonexpansive mappings in Hilbert space

    Isao Yamada;Nobuhiko Ogura;Kohichi Sakaniwa

  • The Adaptive Projected Subgradient Method over the Fixed Point Set of Strongly Attracting Nonexpansive Mappings

    Konstantinos Slavakis;Isao Yamada;Nobuhiko Ogura

  • A subgradient-type method for the equilibrium problem over the fixed point set and its applications

    Hideaki Iiduka;Isao Yamada

  • An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks

    R.L.G. Cavalcante;I. Yamada;B. Mulgrew

Frequent Co-Authors

Sergios Theodoridis
Sergios Theodoridis National and Kapodistrian University of Athens
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
R.C. de Lamare
R.C. de Lamare Pontifical Catholic University of Rio de Janeiro
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh
Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Alex Rogers
Alex Rogers University of Oxford
Patrick L. Combettes
Patrick L. Combettes North Carolina State University
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Benjamin Recht
Benjamin Recht University of California, Berkeley

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