World's Best Scientists 2026 revealed!
Luca F. Pavarino

Luca F. Pavarino

D-Index & Metrics

Mathematics

D-Index
32
Citations
4111
World Ranking
3206
National Ranking
111

Luca F. Pavarino 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 Luca F. Pavarino 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: 139 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Luca F. Pavarino 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 Luca F. Pavarino 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: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Luca F. Pavarino is affiliated with the University of Pavia in Italy. Their research spans multiple fields including Engineering and Medicine, with subfields focusing on Cardiology and Cardiovascular Medicine, Computational Mechanics, Molecular Biology, Computational Theory and Mathematics, and Mechanics of Materials.

Their primary research topics cover diverse areas such as:

  • Cardiac electrophysiology and arrhythmias
  • Advanced Numerical Analysis Techniques
  • Numerical methods in engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Elasticity and Material Modeling
  • Protein Structure and Dynamics
  • Model Reduction and Neural Networks

Luca F. Pavarino has published extensively in various scientific venues. These publication venues include:

  • arXiv (Cornell University)
  • Computer Methods in Applied Mechanics and Engineering
  • SIAM Journal on Scientific Computing
  • Journal of Chemical Theory and Computation
  • Computers & Mathematics with Applications

Recent notable papers by Pavarino include:

  • "Machine Learning of Allosteric Effects: The Analysis of Ligand-Induced Dynamics to Predict Functional Effects in TRAP1," 2020, The Journal of Physical Chemistry B
  • "Convergence Analysis of BDDC Preconditioners for Composite DG Discretizations of the Cardiac Cell-By-Cell Model," 2023, SIAM Journal on Scientific Computing
  • "Isogeometric collocation discretizations for acoustic wave problems," 2021, Computer Methods in Applied Mechanics and Engineering
  • "Unexpected impairment of INa underpins reentrant arrhythmias in a knock-in swine model of Timothy syndrome," 2023, Nature Cardiovascular Research
  • "Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands," 2024, Journal of Chemical Theory and Computation

Collaborations form an important part of their research, with frequent co-authors being:

  • Simone Scacchi
  • Ngoc Mai Monica Huynh
  • Piero Colli Franzone
  • Nicolás A. Barnafi
  • E. Zampieri

Best Publications

  • Mathematical Cardiac Electrophysiology

    P. Colli Franzone;L. Pavarino;S. Scacchi

  • A PARALLEL SOLVER FOR REACTION-DIFFUSION SYSTEMS IN COMPUTATIONAL ELECTROCARDIOLOGY

    Piero Colli Franzone;Luca F. Pavarino

  • Simulating patterns of excitation, repolarization and action potential duration with cardiac Bidomain and Monodomain models

    P. Colli Franzone;L.F. Pavarino;B. Taccardi

  • Adaptivity in Space and Time for Reaction-Diffusion Systems in Electrocardiology

    Piero Colli Franzone;Peter Deuflhard;Bodo Erdmann;Jens Lang

  • Balancing Neumann-Neumann Methods for Incompressible Stokes Equations

    Luca Pavarino;Olof Widlund

  • Additive Schwarz methods for thep-version finite element method

    Luca F. Pavarino

  • A Polylogarithmic Bound for an Iterative Substructuring Method for Spectral Elements in Three Dimensions

    Luca F. Pavarino;Olof B. Widlund

  • Overlapping Schwarz methods for mixed linear elasticity and Stokes problems

    Axel Klawonn;Luca F. Pavarino

  • Overlapping Schwarz Methods for Isogeometric Analysis

    L. Beira͂o da Veiga;D. Cho;L. F. Pavarino;S. Scacchi

  • Multilevel Additive Schwarz Preconditioners for the Bidomain Reaction-Diffusion System

    Luca F. Pavarino;Simone Scacchi

  • Orthotropic active strain models for the numerical simulation of cardiac biomechanics

    Simone Rossi;Simone Rossi;Ricardo Ruiz-Baier;Luca F. Pavarino;Alfio Quarteroni;Alfio Quarteroni

  • Isogeometric BDDC Preconditioners with Deluxe Scaling

    L. Beirão Da Veiga;Luca Franco Pavarino;Simone Scacchi;O. B. Widlund

  • BDDC PRECONDITIONERS FOR ISOGEOMETRIC ANALYSIS

    L. Beirão Da Veiga;D. Cho;L. F. Pavarino;S. Scacchi

  • Computational electrocardiology: mathematical and numerical modeling

    P. Colli Franzone;L. F. Pavarino;G. Savaré

  • Balancing Neumann-Neumann preconditioners for mixed approximations of heterogeneous problems in linear elasticity

    Paulo Goldfeld;Luca F. Pavarino;Olof B. Widlund

  • A comparison of overlapping Schwarz methods and block preconditioners for saddle point problems

    Axel Klawonn;Luca F. Pavarino

  • BDDC Preconditioners for Spectral Element Discretizations of Almost Incompressible Elasticity in Three Dimensions

    Luca F. Pavarino;Olof B. Widlund;Stefano Zampini

  • A Scalable Newton-Krylov-Schwarz Method for the Bidomain Reaction-Diffusion System

    M. Munteanu;L. F. Pavarino;S. Scacchi

  • Adaptive Selection of Primal Constraints for Isogeometric BDDC Deluxe Preconditioners

    L. Beirão Da Veiga;L. F. Pavarino;S. Scacchi;O. B. Widlund

  • Iterative Substructuring Methods for Spectral Element Discretizations of Elliptic Systems. II: Mixed Methods for Linear Elasticity and Stokes Flow

    Luca F. Pavarino;Olof B. Widlund

  • A pseudo-spectral scheme for the incompressible Navier-Stokes equations using unstructured nodal elements

    T. Warburton;L. F. Pavarino;J. S. Hesthaven

Frequent Co-Authors

Olof B. Widlund
Olof B. Widlund Courant Institute of Mathematical Sciences
L. Beirão da Veiga
L. Beirão da Veiga University of Milano-Bicocca
Carlo Lovadina
Carlo Lovadina University of Milan
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Giuseppe Savaré
Giuseppe Savaré Bocconi University
Martin J. Gander
Martin J. Gander University of Geneva
Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Jan S. Hesthaven
Jan S. Hesthaven Karlsruhe Institute of Technology
Tim Warburton
Tim Warburton Virginia Tech
Andrea Rasola
Andrea Rasola University of Padua

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