World's Best Scientists 2026 revealed!
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Engineering and Technology
Finland
2026

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
12629
World Ranking
1932
National Ranking
9

Juha Töyräs 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 Juha Töyräs 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: 311 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Juha Töyräs 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 Juha Töyräs 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: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Finland Leader Award
  • 2025 - Research.com Engineering and Technology in Finland Leader Award

Overview

Juha Töyräs is affiliated with Kuopio University Hospital in Finland and has contributed extensively to the field of medical research, with a primary focus on medicine. Their scientific work spans several subfields, including physiology, rheumatology, biomedical engineering, surgery, and radiology, nuclear medicine, and imaging.

Their research topics cover a broad range of areas, with notable attention to obstructive sleep apnea research, osteoarthritis treatment and mechanisms, neuroscience of respiration and sleep, sleep and wakefulness research, infrared thermography in medicine, spectroscopy techniques in biomedical and chemical research, and veterinary equine medical research.

Among recent papers authored or co-authored by Töyräs are:

  • The Influence of Wearables on Health Care Outcomes in Chronic Disease, 2022, Journal of Medical Internet Research
  • Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea, 2020, SLEEP
  • Open-source python module for automated preprocessing of near infrared spectroscopic data, 2020, Analytica Chimica Acta
  • Characterization of connective tissues using near-infrared spectroscopy and imaging, 2021, Nature Protocols
  • Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes, 2020, IEEE Access

Töyräs collaborates frequently with several other researchers, including Timo Leppänen, Isaac O. Afara, Samu Kainulainen, Henri Korkalainen, and Sami Myllymaa, indicating active engagement in collaborative research projects.

The scientist's work is published in journals that include:

  • Annals of Biomedical Engineering
  • Journal of Sleep Research
  • Journal of Orthopaedic Research®
  • Osteoarthritis and Cartilage
  • SLEEP

Best Publications

  • T2 relaxation reveals spatial collagen architecture in articular cartilage: a comparative quantitative MRI and polarized light microscopic study.

    Miika T. Nieminen;Jarno Rieppo;Juha Töyräs;Juhana M. Hakumäki

  • Comparison of the equilibrium response of articular cartilage in unconfined compression, confined compression and indentation

    R.K Korhonen;M.S Laasanen;J Töyräs;J Rieppo

  • Fibril reinforced poroelastic model predicts specifically mechanical behavior of normal, proteoglycan depleted and collagen degraded articular cartilage.

    Rami K Korhonen;Mikko S Laasanen;Juha Töyräs;Reijo Lappalainen

  • Quantitative MR microscopy of enzymatically degraded articular cartilage.

    Miika T. Nieminen;Juha Töyräs;Jarno Rieppo;Juhana M. Hakumäki

  • Biomechanical properties of knee articular cartilage.

    M S Laasanen;J Töyräs;R K Korhonen;J Rieppo

  • Proteoglycan and collagen sensitive MRI evaluation of normal and degenerated articular cartilage.

    M. J. Nissi;J. Töyräs;M. S. Laasanen;J. Rieppo

  • Characterization of enzymatically induced degradation of articular cartilage using high frequency ultrasound

    J Töyräs;J Rieppo;M T Nieminen;H J Helminen

  • Spatial assessment of articular cartilage proteoglycans with Gd‐DTPA‐enhanced T1 imaging

    Miika T. Nieminen;Jarno Rieppo;Johanna Silvennoinen;Juha Töyräs

  • Collagen network primarily controls Poisson's ratio of bovine articular cartilage in compression

    Panu Kiviranta;Jarno Rieppo;Rami K. Korhonen;Rami K. Korhonen;Petro Julkunen

  • Prediction of biomechanical properties of articular cartilage with quantitative magnetic resonance imaging

    Miika T. Nieminen;Juha Töyräs;Mikko S. Laasanen;Johanna Silvennoinen

  • Estimation of the Young's modulus of articular cartilage using an arthroscopic indentation instrument and ultrasonic measurement of tissue thickness.

    J Töyräs;T Lyyra-Laitinen;M Niinimäki;R Lindgren

  • Novel mechano-acoustic technique and instrument for diagnosis of cartilage degeneration.

    M S Laasanen;J Töyräs;J Hirvonen;S Saarakkala

  • Speed of sound in normal and degenerated bovine articular cartilage.

    Juha Töyräs;Mikko S Laasanen;Simo Saarakkala;Mikko J Lammi

  • Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea

    Henri Korkalainen;Juhani Aakko;Sami Nikkonen;Samu Kainulainen

  • Deformation of articular cartilage during static loading of a knee joint – Experimental and finite element analysis

    K.S. Halonen;M.E. Mononen;J.S. Jurvelin;J. Töyräs

  • Novel parameters indicate significant differences in severity of obstructive sleep apnea with patients having similar apnea–hypopnea index

    Antti Kulkas;Pekka Tiihonen;Petro Julkunen;Esa Mervaala

  • T2 relaxation time mapping reveals age- and species-related diversity of collagen network architecture in articular cartilage

    M.J. Nissi;J. Rieppo;J. Töyräs;M.S. Laasanen

  • Ultrasonic quantitation of superficial degradation of articular cartilage

    Simo Saarakkala;Juha Töyräs;Jani Hirvonen;Mikko S. Laasanen

  • Real-time ultrasound analysis of articular cartilage degradation in vitro.

    Heikki J Nieminen;Juha Töyräs;Jarno Rieppo;Miika T Nieminen

  • Importance of depth-wise distribution of collagen and proteoglycans in articular cartilage--a 3D finite element study of stresses and strains in human knee joint.

    K S Halonen;M E Mononen;J S Jurvelin;J Töyräs

  • Bone mineral density, ultrasound velocity, and broadband attenuation predict mechanical properties of trabecular bone differently.

    J. Töyräs;M.T. Nieminen;H. Kröger;J.S. Jurvelin

  • Indentation diagnostics of cartilage degeneration

    P. Kiviranta;E. Lammentausta;J. Töyräs;I. Kiviranta

  • Estimation of mechanical properties of articular cartilage with MRI – dGEMRIC, T2 and T1 imaging in different species with variable stages of maturation

    M.J. Nissi;J. Rieppo;J. Töyräs;M.S. Laasanen

  • Ultrasonic characterization of human trabecular bone microstructure.

    Mikko A Hakulinen;Judd S Day;Juha Töyräs;Harrie Weinans

  • Prediction of density and mechanical properties of human trabecular bone in vitro by using ultrasound transmission and backscattering measurements at 0.2-6.7 MHz frequency range.

    Mikko A Hakulinen;Judd S Day;Juha Töyräs;Matti Timonen

  • Contrast agent enhanced pQCT of articular cartilage.

    Antti Kallioniemi;Jukka Jurvelin;Miika Nieminen;Mikko Lammi

Frequent Co-Authors

Jukka S. Jurvelin
Jukka S. Jurvelin University of Eastern Finland
Simo Saarakkala
Simo Saarakkala University of Oulu
Rami K. Korhonen
Rami K. Korhonen University of Eastern Finland
Esa Mervaala
Esa Mervaala University of Eastern Finland
Heikki Kröger
Heikki Kröger University of Eastern Finland
Mikko J. Lammi
Mikko J. Lammi Umeå University
Petro Julkunen
Petro Julkunen University of Eastern Finland
Harrie Weinans
Harrie Weinans Utrecht University
Mark W. Grinstaff
Mark W. Grinstaff Boston University
Jos Malda
Jos Malda Utrecht University

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