World's Best Scientists 2026 revealed!
Jari Hyttinen

Jari Hyttinen

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
6892
World Ranking
6212
National Ranking
41

Jari Hyttinen 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 Jari Hyttinen 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: 351 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Jari Hyttinen 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 Jari Hyttinen 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Jari Hyttinen is affiliated with Tampere University in Finland and has a multidisciplinary research profile spanning medicine, engineering, and neuroscience. Their work encompasses diverse fields including biomedical engineering, cellular and molecular neuroscience, cardiology and cardiovascular medicine, molecular biology, and surgery.

Their main research topics include neuroscience and neural engineering, 3D printing in biomedical research, cardiac electrophysiology and arrhythmias, neural dynamics and brain function, electrical and bioimpedance tomography, ion channel regulation and function, and microfluidic and bio-sensing technologies.

Frequently published in venues such as Computing in cardiology, bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, arXiv (Cornell University), and SSRN Electronic Journal, Hyttinen has contributed to a broad array of scientific discussions and methodologies.

Recent papers illustrate the scope of their research interests and collaborations:

  • "A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate," 2020, Frontiers in Computational Neuroscience
  • "All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation," 2020, Biophysical Journal
  • "Simulation of the Effects of Extracellular Calcium Changes Leads to a Novel Computational Model of Human Ventricular Action Potential With a Revised Calcium Handling," 2020, Frontiers in Physiology
  • "Murine cerebral organoids develop network of functional neurons and hippocampal brain region identity," 2021, iScience
  • "Astrocytes Exhibit a Protective Role in Neuronal Firing Patterns under Chemically Induced Seizures in Neuron-Astrocyte Co-Cultures," 2021, International Journal of Molecular Sciences

Their collaborative network includes frequent co-authors:

  • Markus Hannula
  • Jussi T. Koivumäki
  • Michelangelo Paci
  • Annika Ahtiainen
  • Susanna Miettinen

Jari Hyttinen has also engaged in book publication, notably contributing to the Proceedings of the 21st International Conference on Biomedical Applications of Electrical Impedance Tomography published by the European Organization for Nuclear Research in 2021.

Best Publications

  • Model for long QT syndrome type 2 using human iPS cells demonstrates arrhythmogenic characteristics in cell culture.

    Anna L. Lahti;Ville J. Kujala;Hugh Chapman;Ari-Pekka Koivisto

  • Toward the defined and xeno-free differentiation of functional human pluripotent stem cell-derived retinal pigment epithelial cells.

    Hanna Vaajasaari;Tanja Ilmarinen;Kati Juuti-Uusitalo;Kristiina Rajala

  • Surface curvature in triply-periodic minimal surface architectures as a distinct design parameter in preparing advanced tissue engineering scaffolds

    Sébastien B G Blanquer;Maike Werner;Markus Hannula;Shahriar Sharifi

  • Measurement of noise and impedance of dry and wet textile electrodes, and textile electrodes with hydrogel

    Merja M. Puurtinen;Satu M. Komulainen;Pasi K. Kauppinen;Jaakko A. V. Malmivuo

  • Human embryonic stem cell-derived neuronal cells form spontaneously active neuronal networks in vitro.

    Teemu J. Heikkilä;Laura Ylä-Outinen;Laura Ylä-Outinen;Jarno M.A. Tanskanen;Riikka S. Lappalainen

  • Computational models of ventricular- and atrial-like human induced pluripotent stem cell derived cardiomyocytes.

    Michelangelo Paci;Michelangelo Paci;Jari Hyttinen;Katriina Aalto-Setälä;Stefano Severi

  • Wireless, Multipurpose In-Home Health Monitoring Platform: Two Case Trials

    S. Junnila;H. Kailanto;J. Merilahti;A.-M. Vainio

  • Effect of pressure and padding on motion artifact of textile electrodes

    Alper Cömert;Markku Honkala;Jari Hyttinen

  • Finite element analysis of customized reconstruction plates for mandibular continuity defect therapy

    Nathaniel Narra;Jiří Valášek;Markus Hannula;Petr Marcián

  • Assessment of Pulmonary Flow Using Impedance Pneumography

    Ville-Pekka Seppa;J Viik;J Hyttinen

  • The effects of vibration loading on adipose stem cell number, viability and differentiation towards bone-forming cells

    Laura Tirkkonen;Heidi Halonen;Jari Hyttinen;Hannu Kuokkanen

  • DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications

    Philip Kuryloski;Annarita Giani;Roberta Giannantonio;Katherine Gilani

  • Novel polypyrrole-coated polylactide scaffolds enhance adipose stem cell proliferation and early osteogenic differentiation.

    Jani Pelto;Miina Björninen;Aliisa Pälli;Elina Talvitie

  • Video image-based analysis of single human induced pluripotent stem cell derived cardiomyocyte beating dynamics using digital image correlation

    Antti Ahola;Anna L Kiviaho;Kim Larsson;Markus Honkanen

  • Human Neural Tissues from Neural Stem Cells Using Conductive Biogel and Printed Polymer Microelectrode Arrays for 3D Electrical Stimulation.

    Eva Tomaskovic-Crook;Eva Tomaskovic-Crook;Peikai Zhang;Annika Ahtiainen;Heidi Kaisvuo

  • Sensitivity Distributions of Impedance Cardiography Using Band and Spot Electrodes Analyzed by a Three-Dimensional Computer Model

    Pasi K. Kauppinen;Jari A. Hyttinen;Jaakko A. Malmivuo

  • Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics

    Fikret Emre Kapucu;Jarno M. A. Tanskanen;Jarno E Mikkonen;Laura Ylä-Outinen

  • Rapidly responsive silk fibroin hydrogels as an artificial matrix for the programmed tumor cells death.

    Viviana P. Ribeiro;Joana Silva-Correia;Cristiana Gonçalves;Sandra Pina

  • Mechanically Biomimetic Gelatin-Gellan Gum Hydrogels for 3D Culture of Beating Human Cardiomyocytes.

    Janne T. Koivisto;Christine Gering;Jennika Karvinen;Reeja Maria Cherian

  • A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate

    Kerstin Lenk;Eero Satuvuori;Jules Lallouette;Antonio Ladrón-de-Guevara

  • Effect of measurement noise and electrode density on the spatial resolution of cortical potential distribution with different resistivity values for the skull

    O.R.M. Ryynanen;J.A.K. Hyttinen;J.A. Malmivuo

  • Micro CT visualization of silver nanoparticles in the middle and inner ear of rat and transportation pathway after transtympanic injection.

    Jing Zou;Jing Zou;Markus Hannula;Superb Misra;Superb Misra;Hao Feng

  • The influence of age and skull conductivity on surface and subdermal bipolar EEG leads

    Katrina Wendel;Juho Väisänen;Gunnar Seemann;Jari Hyttinen

Frequent Co-Authors

Heli Skottman
Heli Skottman Tampere University
Harri Sievänen
Harri Sievänen Urho Kaleva Kekkonen Institute
Loris Nanni
Loris Nanni University of Padua
Kai Kaarniranta
Kai Kaarniranta University of Eastern Finland
Heini Huhtala
Heini Huhtala Tampere University
Mika Kähönen
Mika Kähönen Tampere University
Antero Salminen
Antero Salminen University of Eastern Finland
Rui L. Reis
Rui L. Reis University of Minho
Terho Lehtimäki
Terho Lehtimäki Tampere University
Jadranka Travas-Sejdic
Jadranka Travas-Sejdic University of Auckland

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