World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
17798
World Ranking
882
National Ranking
29

Heinz H. Bauschke 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 Heinz H. Bauschke 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: 228 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Heinz H. Bauschke 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 Heinz H. Bauschke 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: 53 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Heinz H. Bauschke is affiliated with the University of British Columbia in Canada. Their research primarily spans the fields of Mathematics and Computer Science, with a particular focus on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Applied Mathematics, and Geometry and Topology.

Their main topics of work include:

  • Optimization and Variational Analysis
  • Advanced Optimization Algorithms Research
  • Matrix Theory and Algorithms
  • Sparse and Compressive Sensing Techniques
  • Fixed Point Theorems Analysis
  • Point processes and geometric inequalities
  • Mathematical Inequalities and Applications

Heinz H. Bauschke has a substantial body of publications across various venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • Set-Valued and Variational Analysis
  • Mathematical Programming
  • Vietnam Journal of Mathematics

Notable recent papers from their work include:

  • "Generalized monotone operators and their averaged resolvents," 2020, Mathematical Programming
  • "On the linear convergence of circumcentered isometry methods," 2020, Numerical Algorithms
  • "Circumcentered Methods Induced by Isometries," 2020, Vietnam Journal of Mathematics
  • "Best approximation mappings in Hilbert spaces," 2021, Mathematical Programming
  • "On the Behavior of the Douglas--Rachford Algorithm for Minimizing a Convex Function Subject to a Linear Constraint," 2020, SIAM Journal on Optimization

Heinz H. Bauschke collaborates frequently with a group of coauthors, including:

  • Walaa M. Moursi
  • Xianfu Wang
  • Shambhavi Singh
  • Manish Krishan Lal
  • Hui Ouyang

In addition to journal publications, Heinz H. Bauschke has contributed to book literature. One recorded contribution is "An Introduction to Convexity, Optimization, and Algorithms," published in 2023 by the Society for Industrial and Applied Mathematics.

Best Publications

  • Convex Analysis and Monotone Operator Theory in Hilbert Spaces

    Heinz H. Bauschke;Patrick L. Combettes

  • On Projection Algorithms for Solving Convex Feasibility Problems

    Heinz H. Bauschke;Jonathan M. Borwein

  • Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization.

    Heinz H. Bauschke;Patrick L. Combettes;D. Russell Luke

  • A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces

    Heinz H. Bauschke;Patrick L. Combettes

  • The Approximation of Fixed Points of Compositions of Nonexpansive Mappings in Hilbert Space

    Heinz H. Bauschke

  • Legendre functions and the method of random Bregman projections

    Heinz H. Bauschke;Jonathan M. Borwein

  • A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications

    Heinz H. Bauschke;Jérôme Bolte;Marc Teboulle

  • On the convergence of von Neumann's alternating projection algorithm for two sets

    Heinz H. Bauschke;Jonathan M. Borwein

  • ESSENTIAL SMOOTHNESS, ESSENTIAL STRICT CONVEXITY, AND LEGENDRE FUNCTIONS IN BANACH SPACES

    Heinz H. Bauschke;Jonathan M. Borwein;Patrick L. Combettes

  • Fixed-Point Algorithms for Inverse Problems in Science and Engineering

    Heinz H. Bauschke;Regina S. Burachik;Patrick L. Combettes;Veit Elser

  • Bregman Monotone Optimization Algorithms

    Heinz H. Bauschke;Jonathan M. Borwein;Patrick L. Combettes

  • Projection and proximal point methods: convergence results and counterexamples

    Heinz H. Bauschke;Eva Matoušková;Simeon Reich

  • Hybrid projection–reflection method for phase retrieval

    Heinz H. Bauschke;Patrick L. Combettes;D. Russell Luke

  • Strong conical hull intersection property, bounded linear regularity, Jameson's property (G), and error bounds in convex optimization

    Heinz H. Bauschke;Jonathan M. Borwein;Wu Li

  • Dykstra's Alternating Projection Algorithm for Two Sets

    H.H. Bauschke;J.M. Borwein

  • Finding best approximation pairs relative to two closed convex sets in Hilbert spaces

    Heinz H. Bauschke;Patrick L. Combettes;D. Russell Luke

  • Full length article: The rate of linear convergence of the Douglas-Rachford algorithm for subspaces is the cosine of the Friedrichs angle

    Heinz H. Bauschke;J. Y. Bello Cruz;Tran T. A. Nghia;Hung M. Phan

  • Dykstras algorithm with bregman projections: A convergence proof

    Heinz H Bauschke;Adrian S Lewis

  • Hyperbolic Polynomials and Convex Analysis

    Heinz H. Bauschke;Osman Güler;Adrian S. Lewis;Hristo S. Sendov

  • SIAM Journal on Optimization

    C Audet;H H Bauschke;L T Biegler;P L Combettes

  • Correction to: Convex Analysis and Monotone Operator Theory in Hilbert Spaces

    Heinz H. Bauschke;Patrick L. Combettes

Frequent Co-Authors

Patrick L. Combettes
Patrick L. Combettes North Carolina State University
Jonathan M. Borwein
Jonathan M. Borwein University of Newcastle Australia
Dominikus Noll
Dominikus Noll Paul Sabatier University
Jane J. Ye
Jane J. Ye University of Victoria
Adrian S. Lewis
Adrian S. Lewis Cornell University
Simeon Reich
Simeon Reich Technion – Israel Institute of Technology
Henry Wolkowicz
Henry Wolkowicz University of Waterloo
Marc Teboulle
Marc Teboulle Tel Aviv University
Paul Tseng
Paul Tseng University of Washington
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University

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