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Mathematics
Finland
2026

D-Index & Metrics

Mathematics

D-Index
49
Citations
9833
World Ranking
1146
National Ranking
5

Matti Lassas 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 Matti Lassas 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: 261 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Matti Lassas 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 Matti Lassas 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: 49 D-Index — 69th percentile

69% 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

  • 2026 - Research.com Mathematics in Finland Leader Award
  • 2025 - Research.com Mathematics in Finland Leader Award

Overview

Matti Lassas is affiliated with the University of Helsinki in Finland and has contributed extensively to the field of mathematics, with a focus on inverse problems and mathematical physics. Their work spans various subfields including mathematical physics, computational theory and mathematics, applied mathematics, radiology, nuclear medicine and imaging, and biomedical engineering.

Their research covers multiple key topics including:

  • Numerical methods in inverse problems
  • Advanced Mathematical Modeling in Engineering
  • Medical Imaging Techniques and Applications
  • Seismic Imaging and Inversion Techniques
  • Spectral Theory in Mathematical Physics
  • Topological and Geometric Data Analysis
  • Advanced X-ray and CT Imaging

Lassas has published numerous papers in well-known academic venues. Recent notable publications include:

  • "Inverse problem for Einstein-scalar field equations," 2022, Duke Mathematical Journal
  • "Inverse problems for elliptic equations with power type nonlinearities," 2020, Journal de Mathématiques Pures et Appliquées
  • "Detection of Hermitian connections in wave equations with cubic non-linearity," 2021, Journal of the European Mathematical Society
  • "Uniqueness, reconstruction and stability for an inverse problem of a semi-linear wave equation," 2022, Journal of Differential Equations
  • "Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography," 2020, arXiv (Cornell University)

Frequently publishing in venues such as arXiv (Cornell University), Inverse Problems and Imaging, SIAM Journal on Mathematical Analysis, Journal of Differential Equations, and Analysis & PDE, Lassas has an extensive research output primarily in mathematics.

Their collaborations include frequent co-authors in the field such as Maarten V. de Hoop, Jinpeng Lu, Samuli Siltanen, Tony Liimatainen, and Lauri Oksanen, reflecting ongoing joint efforts in inverse problems and related areas.

Best Publications

  • On nonuniqueness for Calderón’s inverse problem

    Allan Greenleaf;Matti Lassas;Gunther Uhlmann

  • Inverse Boundary Spectral Problems

    Alexander P. Katchalov;Yaroslav V. Kurylev;Matti Lassas

  • Anisotropic conductivities that cannot be detected by EIT.

    Allan Greenleaf;Matti Lassas;Gunther Uhlmann

  • Electromagnetic wormholes and virtual magnetic monopoles from metamaterials.

    Allan Greenleaf;Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann

  • Cloaking Devices, Electromagnetic Wormholes, and Transformation Optics

    Allan Greenleaf;Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann

  • Full-Wave Invisibility of Active Devices at All Frequencies

    Allan Greenleaf;Yaroslav V. Kurylev;Matti Lassas;Gunther Uhlmann

  • Calderóns' Inverse Problem for Anisotropic Conductivity in the Plane

    Kari Astala;Lassi Päivärinta;Matti Lassas

  • On the existence and convergence of the solution of PML equations

    Matti Lassas;Erkki Somersalo

  • On determining a Riemannian manifold from the Dirichlet-to-Neumann map

    Matti Lassas;A. N. D. Gunther Uhlmann

  • Discretization-invariant Bayesian inversionand Besov space priors

    Matti Lassas;Eero Saksman;Samuli Siltanen

  • Statistical inversion for medical x-ray tomography with few radiographs: I. General theory

    S Siltanen;V Kolehmainen;S Järvenpää;J P Kaipio

  • REGULARIZED D-BAR METHOD FOR THE INVERSE CONDUCTIVITY PROBLEM

    Kim Knudsen;Matti Lassas;Jennifer L. Mueller;Samuli Siltanen

  • Inverse problems for Lorentzian manifolds and non-linear hyperbolic equations

    Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann;Gunther Uhlmann

  • Wavelet-based reconstruction for limited-angle X-ray tomography

    M. Rantala;S. Vanska;S. Jarvenpaa;M. Kalke

  • INVISIBILITY AND INVERSE PROBLEMS

    Allan Greenleaf;Yaroslav V. Kurylev;Matti Lassas;Gunther Uhlmann

  • Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography

    Tatiana A. Bubba;Gitta Kutyniok;Matti Lassas;Maximilian März

  • The Dirichlet-to-Neumann map for complete Riemannian manifolds with boundary

    Matti Lassas;Michael E. Taylor;Gunther Uhlmann

  • Can one use total variation prior for edge-preserving Bayesian inversion?

    Matti Lassas;Samuli Siltanen

  • Boundary regularity for the Ricci equation, geometric convergence, and Gel’fand’s inverse boundary problem

    Michael T. Anderson;Atsushi Katsuda;Yaroslav Kurylev;Matti Lassas

  • Statistical inversion for medical x-ray tomography with few radiographs: II. Application to dental radiology.

    V. Kolehmainen;S. Siltanen;Seppo Järvenpää;J. Kaipio

  • Calderon's inverse problem for anisotropic conductivity in the plane

    Kari Astala;Matti Lassas;Lassi Paivarinta

Frequent Co-Authors

Gunther Uhlmann
Gunther Uhlmann University of Washington
Ville Kolehmainen
Ville Kolehmainen University of Eastern Finland
Erkki Somersalo
Erkki Somersalo Case Western Reserve University
Maarten V. de Hoop
Maarten V. de Hoop Rice University
Mikko Salo
Mikko Salo University of Jyväskylä
Jussi Timonen
Jussi Timonen University of Jyväskylä
Jari P. Kaipio
Jari P. Kaipio University of Auckland
Plamen Stefanov
Plamen Stefanov Purdue University West Lafayette
Michael T. Anderson
Michael T. Anderson Stony Brook University
Eero Saksman
Eero Saksman University of Helsinki

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