World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
8954
World Ranking
9630
National Ranking
61

Heikki Haario publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Heikki Haario sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 181 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Heikki Haario D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Heikki Haario sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 31 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Heikki Haario is affiliated with Lappeenranta University of Technology in Finland. Their research contributions are primarily situated within the field of Engineering, with specific work spanning several subfields including Biophysics, Computer Networks and Communications, Environmental Engineering, Artificial Intelligence, and Molecular Biology.

Haario's scientific output includes publications in various venues, with frequent appearances in:

  • arXiv (Cornell University)
  • International Journal for Uncertainty Quantification
  • Geoscientific Model Development
  • Frontiers in Marine Science
  • Journal of Theoretical Biology

Their research addresses topics such as Nonlinear Dynamics and Pattern Formation, Gene Regulatory Network Analysis, Spectroscopy and Chemometric Analyses, Mineral Processing and Grinding, Spectroscopy Techniques in Biomedical and Chemical Research, Cell Image Analysis Techniques, and Nuclear reactor physics and engineering.

Among recent publications of note are:

  • Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks, 2022, Frontiers in Marine Science
  • Statistical approach for parameter identification by Turing patterns, 2020, Journal of Theoretical Biology
  • Parameter estimation in kinetic models of complex heterogeneous catalytic reactions using Bayesian statistics, 2021, Reaction Kinetics Mechanisms and Catalysis
  • Identification of molecular cluster evaporation rates, cluster formation enthalpies and entropies by Monte Carlo method, 2020, Atmospheric Chemistry and Physics
  • Agent-based modelling of complex factors impacting malaria prevalence, 2021, Malaria Journal

Frequent co-authors collaborating with Haario include:

  • Alexey Kazarnikov
  • Jouni Susiluoto
  • Sebastian Springer
  • Zina-Sabrina Duma
  • Tuomas Sihvonen

Best Publications

  • An adaptive Metropolis algorithm

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • DRAM: Efficient adaptive MCMC

    Heikki Haario;Marko Laine;Antonietta Mira;Eero Saksman

  • Adaptive proposal distribution for random walk Metropolis algorithm

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • Componentwise adaptation for high dimensional MCMC

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • Development of a kinetic model for the esterification of acetic acid with methanol in the presence of a homogeneous acid catalyst

    Robert Rönnback;Tapio Salmi;Antti Vuori;Heikki Haario

  • Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems

    Johnathan M. Bardsley;Antti Solonen;Heikki Haario;Marko Laine

  • Catalytic Decomposition of Gasification Gas Tar with Benzene as the Model Compound

    P.A. Simell;N.A.K. Hakala;H.E. Haario;A.O.I. Krause

  • Markov chain Monte Carlo methods for high dimensional inversion in remote sensing

    H. Haario;M. Laine;M. Lehtinen;E. Saksman

  • Bayesian modelling of algal mass occurrences-using adaptive MCMC methods with a lake water quality model

    Olli Malve;Marko Laine;Heikki Haario;Teija Kirkkala

  • Segmentation of Overlapping Elliptical Objects in Silhouette Images

    Sahar Zafari;Tuomas Eerola;Jouni Sampo;Heikki Kalviainen

  • Efficient MCMC for Climate Model Parameter Estimation: Parallel Adaptive Chains and Early Rejection

    Antti Solonen;Pirkka Ollinaho;Marko Laine;Heikki Haario

  • Simulated annealing process in general state space

    Heikki Haario;Eero Saksman

  • Size and Shape Dependence of the Electronic and Spectral Properties in TiO2 Nanoparticles

    Sami Auvinen;Matti Alatalo;Heikki Haario;Juho-Pertti Jalava

  • Numerical study of dynamics of single bubbles and bubble swarms

    Anton Smolianski;Heikki Haario;Pasi Luukka

  • Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering

    Isambi S. Mbalawata;Simo Särkkä;Heikki Haario

  • Microbial functional activity during composting of chlorophenol-contaminated sawmill soil

    M.Minna Laine;Heikki Haario;Kirsten S Jørgensen

  • Estimation of ECHAM5 climate model closure parameters with adaptive MCMC

    Heikki Järvinen;P. Raisanen;M. Laine;J. Tamminen

  • Posterior covariance related optimal current patterns in electrical impedance tomography

    J P Kaipio;A Seppänen;E Somersalo;H Haario

  • Inverse theory for occultation measurements: 1. Spectral inversion

    E. Kyrölä;E. Sihvola;Y. Kotivuori;M. Tikka

  • Optimized separation of seven corticosteroids by micellar electrokinetic chromatography.

    Juho H. Jumppanen;Susanne K. Wiedmer;Heli Sirén;Marja‐Liisa Riekkola

  • Ensemble prediction and parameter estimation system: the concept

    Heikki Järvinen;Marko Laine;Antti Solonen;Heikki Haario

  • Ozone profile smoothness as a priori information in the inversion of limb measurements

    Viktoria F. Sofieva;J. Tamminen;H. Haario;E. Kyrölä

  • Numerical Modelling of Wind Turbine Wakes in Wind-Farms

    Oxana Agafonova;Ashvinkumar Chaudhari;Heikki Haario;Antti Hellsten

Frequent Co-Authors

Johanna Tamminen
Johanna Tamminen Finnish Meteorological Institute
Tapio Salmi
Tapio Salmi Åbo Akademi University
Eero Saksman
Eero Saksman University of Helsinki
Jari P. Kaipio
Jari P. Kaipio University of Auckland
Erkki Kyrölä
Erkki Kyrölä Finnish Meteorological Institute
Simo Särkkä
Simo Särkkä Aalto University
Marja-Liisa Riekkola
Marja-Liisa Riekkola University of Helsinki
Erkki Somersalo
Erkki Somersalo Case Western Reserve University
Peter Bechtold
Peter Bechtold European Centre for Medium-Range Weather Forecasts
Erkki Oja
Erkki Oja Aalto University

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