World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
9457
World Ranking
1674
National Ranking
97

Engineering and Technology

D-Index
41
Citations
8799
World Ranking
6848
National Ranking
227

Massimo Fornasier 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 Massimo Fornasier 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: 126 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Massimo Fornasier 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 Massimo Fornasier 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: 43 D-Index — 54th percentile

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

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

Overview

Massimo Fornasier is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields including computer science, mathematics, and engineering, with a strong focus on applied and computational aspects.

The researcher has contributed extensively to various subfields such as:

  • Artificial Intelligence
  • Computational Mechanics
  • Applied Mathematics
  • Statistical and Nonlinear Physics
  • Computer Networks and Communications

Fornasier's work addresses diverse topics, among them:

  • Sparse and Compressive Sensing Techniques
  • Model Reduction and Neural Networks
  • Distributed Control Multi-Agent Systems
  • Stochastic Gradient Optimization Techniques
  • Mathematical Biology Tumor Growth
  • Neural Networks and Applications
  • Evolutionary Game Theory and Cooperation

Their recent notable papers include:

  • "A Relaxed Kačanov iteration for the p-poisson problem" (2020, Numerische Mathematik)
  • "Anisotropic Diffusion in Consensus-Based Optimization on the Sphere" (2022, SIAM Journal on Optimization)
  • "Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning" (2020, arXiv (Cornell University))
  • "A measure theoretical approach to the mean-field maximum principle for training NeurODEs" (2022, Nonlinear Analysis)
  • "Consensus-Based Optimization Methods Converge Globally" (2024, SIAM Journal on Optimization)

Fornasier has collaborated frequently with several researchers, including:

  • Timo Klock
  • Konstantin Riedl
  • Hui Huang
  • Michael Rauchensteiner
  • Lukang Sun

Their publications have appeared in a range of venues such as:

  • arXiv (Cornell University)
  • European Journal of Applied Mathematics
  • SIAM Journal on Optimization
  • Applied and Computational Harmonic Analysis
  • Numerische Mathematik

Best Publications

  • Iteratively reweighted least squares minimization for sparse recovery

    Ingrid Daubechies;Ronald DeVore;Massimo Fornasier;C. Si̇nan Güntürk

  • Iteratively re-weighted least squares minimization for sparse recovery

    Ingrid Daubechies;Ronald DeVore;Massimo Fornasier;C. Sinan Gunturk

  • Asymptotic Flocking Dynamics for the Kinetic Cucker–Smale Model

    José A. Carrillo;M. Fornasier;Jesús Rosado;Giuseppe Toscani

  • Particle, kinetic, and hydrodynamic models of swarming

    José A. Carrillo;Massimo Fornasier;Giuseppe Toscani;Francesco Vecil

  • Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints

    Ingrid Daubechies;Massimo Fornasier;Ignace Loris

  • Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints

    Massimo Fornasier;Holger Rauhut

  • Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization

    Massimo Fornasier;Holger Rauhut;Rachel Ward

  • Iterative thresholding algorithms

    Massimo Fornasier;Holger Rauhut

  • Quasi-orthogonal decompositions of structured frames

    Massimo Fornasier

  • Continuous Frames, Function Spaces, and the Discretization Problem

    Massimo Fornasier;Holger Rauhut

  • Numerical Methods for Sparse Recovery

    Massimo Fornasier

  • Mean-Field Optimal Control

    Massimo Fornasier;Francesco Solombrino

  • A Kinetic Flocking Model with Diffusion

    Renjun Duan;Massimo Fornasier;Giuseppe Toscani

  • Sparse stabilization and optimal control of the Cucker-Smale model

    Marco Caponigro;Massimo Fornasier;Benedetto Piccoli;Emmanuel Trélat

  • Theoretical foundations and numerical methods for sparse recovery

    Massimo Fornasier

  • Sparse Stabilization and Control of Alignment Models

    Marco Caponigro;Massimo Fornasier;Benedetto Piccoli;Emmanuel Trélat

  • Intrinsic localization of frames

    Massimo Fornasier;Karlheinz Gröchenig

  • Adaptive frame methods for elliptic operator equations

    Stephan Dahlke;Massimo Fornasier;Thorsten Raasch

  • Mean-field sparse optimal control

    Massimo Fornasier;Benedetto Piccoli;Francesco Rossi

  • An Introduction to Total Variation for Image Analysis

    Unknown

  • Compressive Sensing and Structured Random Matrices

    Massimo Fornasier

Frequent Co-Authors

Holger Rauhut
Holger Rauhut RWTH Aachen University
Ingrid Daubechies
Ingrid Daubechies Duke University
Stephan Dahlke
Stephan Dahlke Philipp University of Marburg
Carola-Bibiane Schönlieb
Carola-Bibiane Schönlieb University of Cambridge
Benedetto Piccoli
Benedetto Piccoli Rutgers, The State University of New Jersey
Emmanuel Trélat
Emmanuel Trélat Sorbonne University
Rachel Ward
Rachel Ward The University of Texas at Austin
Giuseppe Toscani
Giuseppe Toscani University of Pavia
Guust Nolet
Guust Nolet Université Côte d'Azur
Frederik J. Simons
Frederik J. Simons Princeton University

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 students studying Mathematics in the USA, exploring related online degrees can broaden career opportunities and enhance skill sets. For instance, students interested in business applications might consider an shortest MBA program online, which offers a quick pathway to leadership roles while balancing work or studies.

Marketing professionals with a quantitative background may benefit from an MS in digital marketing degree cost tuition fees overview, as they can leverage analytics and data-driven decision-making in their roles.

Many also look for flexible options like the cheapest 1 year online MBA programs that combine affordability with accelerated completion times, making them attractive for career switchers or those eager to advance quickly.

Additionally, for those who have already completed some graduate coursework, programs that offer an online MBA with transfer credits accepted can reduce redundancy and cost.

Overall, understanding these options alongside a mathematics degree allows students to craft personalized educational paths that align with their career goals and financial considerations.

Best Scientists Citing Massimo Fornasier

Trending Scientists

Recently Published Articles