World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
New Zealand
2026
Award Badge
Mathematics
New Zealand
2026

D-Index & Metrics

Mathematics

D-Index
57
Citations
14825
World Ranking
682
National Ranking
2

Engineering and Technology

D-Index
58
Citations
15288
World Ranking
2447
National Ranking
6

Jari P. Kaipio 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 Jari P. Kaipio 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: 250 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Jari P. Kaipio 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 Jari P. Kaipio 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: 57 D-Index — 82nd percentile

82% 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 Engineering and Technology in New Zealand Leader Award
  • 2026 - Research.com Mathematics in New Zealand Leader Award
  • 2025 - Research.com Engineering and Technology in New Zealand Leader Award
  • 2025 - Research.com Mathematics in New Zealand Leader Award
  • 2023 - Research.com Mathematics in New Zealand Leader Award
  • 2022 - Research.com Mathematics in New Zealand Leader Award

Overview

Jari P. Kaipio is affiliated with the University of Auckland in New Zealand and specializes in Engineering, with a research focus spanning multiple subfields.

Their work covers areas including Geophysics, Statistics, Probability and Uncertainty, Electrical and Electronic Engineering, Civil and Structural Engineering, and Biomedical Engineering.

Research topics prominently associated with Jari P. Kaipio include:

  • Probabilistic and Robust Engineering Design
  • Electrical and Bioimpedance Tomography
  • Structural Health Monitoring Techniques
  • Geophysical and Geoelectrical Methods
  • Microwave Imaging and Scattering Analysis
  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds

They have contributed to multiple scientific publications, with recent papers including:

  • Retrieval of process rate parameters in the general dynamic equation for aerosols using Bayesian state estimation: BAYROSOL1.0, 2021, Geoscientific model development
  • Damage identification in plates under uncertain boundary conditions, 2020, Mechanical Systems and Signal Processing
  • Approximation error method for imaging the human head by electrical impedance tomography, 2021, arXiv (Cornell University)
  • Introduction of Sample Based Prior into the D-Bar Method Through a Schur Complement Property, 2020, IEEE Transactions on Medical Imaging
  • Damage identification under uncertain mass density distributions, 2021, Computer Methods in Applied Mechanics and Engineering

Jari P. Kaipio also frequently publishes in venues such as Inverse Problems, European Journal of Public Health, Geoscientific model development, Mechanical Systems and Signal Processing, and arXiv (Cornell University).

Their research collaborations include multiple works with:

  • Daniel A. Castello
  • Aku Seppänen
  • K. E. J. Lehtinen
  • Gabriel L.S. Silva
  • Valentina Candiani

Best Publications

  • Statistical and computational inverse problems

    Jari Kaipio;Erkki Somersalo

  • Tikhonov regularization and prior information in electrical impedance tomography

    M. Vauhkonen;D. Vadasz;P.A. Karjalainen;E. Somersalo

  • Statistical inverse problems: discretization, model reduction and inverse crimes

    Jari Kaipio;Erkki Somersalo

  • Three-dimensional electrical impedance tomography based on the complete electrode model

    P.J. Vauhkonen;M. Vauhkonen;T. Savolainen;J.P. Kaipio

  • Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography

    Jari P Kaipio;Ville Kolehmainen;Erkki Somersalo;Marko Vauhkonen

  • A MATLAB package for the EIDORS project to reconstruct two-dimensional EIT images

    M Vauhkonen;W R B Lionheart;L M Heikkinen;P J Vauhkonen

  • Inverse problems with structural prior information

    J P Kaipio;V Kolehmainen;M Vauhkonen;E Somersalo

  • Electrical Resistance Tomography Imaging of Concrete

    Kimmo Karhunen;Aku Seppänen;Anssi Lehikoinen;Paulo J.M. Monteiro

  • Approximation errors and model reduction with an application in optical diffusion tomography

    S R Arridge;J P Kaipio;V Kolehmainen;M Schweiger

  • A Kalman filter approach to track fast impedance changes in electrical impedance tomography

    M. Vauhkonen;P.A. Karjalainen;J.P. Kaipio

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

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

  • Computational aspects of the ultra-weak variational formulation

    Tomi Huttunen;Peter Monk;Jari P. Kaipio

  • Assessment of errors in static electrical impedance tomography with adjacent and trigonometric current patterns.

    V Kolehmainen;M Vauhkonen;P A Karjalainen;J P Kaipio

  • The Bayesian Framework for Inverse Problems in Heat Transfer

    Jari P. Kaipio;Colin Fox

  • RECOVERY OF REGION BOUNDARIES OF PIECEWISE CONSTANT COEFFICIENTS OF AN ELLIPTIC PDE FROM BOUNDARY DATA

    V Kolehmainen;S R Arridge;W R B Lionheart;M Vauhkonen

  • Compensation of Modelling Errors Due to Unknown Domain Boundary in Electrical Impedance Tomography

    A Nissinen;V P Kolehmainen;J P Kaipio

  • State estimation with fluid dynamical evolution models in process tomography - an application to impedance tomography

    A Seppänen;M Vauhkonen;P J Vauhkonen;E Somersalo

  • Coupled radiative transfer equation and diffusion approximation model for photon migration in turbid medium with low-scattering and non-scattering regions.

    Tanja Tarvainen;Marko Vauhkonen;Ville Kolehmainen;Simon R Arridge

  • The Bayesian approximation error approach for electrical impedance tomography?experimental results

    A Nissinen;L M Heikkinen;J P Kaipio

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

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

Frequent Co-Authors

Marko Vauhkonen
Marko Vauhkonen University of Eastern Finland
Ville Kolehmainen
Ville Kolehmainen University of Eastern Finland
Simon R. Arridge
Simon R. Arridge University College London
Erkki Somersalo
Erkki Somersalo Case Western Reserve University
Ben Cox
Ben Cox University College London
Peter Monk
Peter Monk University of Delaware
Martin Schweiger
Martin Schweiger University College London
Heikki Haario
Heikki Haario Lappeenranta University of Technology
Matti Lassas
Matti Lassas University of Helsinki
Stefan Finsterle
Stefan Finsterle Lawrence Berkeley National Laboratory

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 interested in Mathematics and looking to diversify their qualifications, pursuing related online degrees can open various career pathways. Business administration degrees, such as MBA programs, are popular options for mathematicians aiming to apply their analytical skills to management and strategy roles. If you are seeking flexible entry points, exploring the easy mba programs to get into can help identify options with less rigorous admission criteria.

Additionally, those looking for flexibility and affordability may benefit from considering the easiest mba programs that balance accessibility with quality education. For more advanced leadership roles, enrolling in online Doctor of Business Administration degrees is a viable path. The cheapest online dba programs provide cost-effective opportunities to achieve this credential without compromising convenience.

Furthermore, for those interested in finance and quantitative analysis, exploring masters in finance online programs may complement a background in Mathematics, opening doors to careers in financial modeling, risk management, and investment analysis.

Best Scientists Citing Jari P. Kaipio

Trending Scientists

Recently Published Articles