World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5819
World Ranking
11621
National Ranking
100

Jussi Tohka publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jussi Tohka sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jussi Tohka D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jussi Tohka sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jussi Tohka is affiliated with the University of Eastern Finland in Finland and has contributed extensively to the field of medical research, particularly in the intersection of medicine and advanced imaging techniques. Their body of work encompasses a range of studies related to neuroimaging, neurology, psychiatry, and artificial intelligence as applied in healthcare.

Their recent notable publications include:

  • Evaluation of machine learning algorithms for health and wellness applications: A tutorial (2021) in Computers in Biology and Medicine
  • Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review (2021) in Journal of Imaging
  • Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge (2021) in NeuroImage
  • The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up (2021) in The Journal of Machine Learning for Biomedical Imaging
  • DeepACSON automated segmentation of white matter in 3D electron microscopy (2021) in Communications Biology

Tohka's research is reflected in several main fields of study:

  • Medicine

Within this broad category, their work focuses on several subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Psychiatry and Mental health
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

The core topics addressed in their research include:

  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • Brain Tumor Detection and Classification
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Machine Learning in Healthcare
  • Advanced MRI Techniques and Applications

Tohka frequently collaborates with several researchers, indicating ongoing partnerships in their academic network. Their frequent co-authors are:

  • Alejandra Sierra
  • Ali Abdollahzadeh
  • Olli Gröhn
  • Vandad Imani
  • Riccardo De Feo

The publication venues where they have most frequently appeared include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Neuroscience
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Epilepsia

Tohka's academic profile demonstrates significant involvement in multidisciplinary research that leverages machine learning and advanced imaging methodologies to address neurological and psychiatric conditions. Their work spans both foundational reviews and applied imaging challenges, contributing to evolving techniques in biomedical imaging and health informatics.

Best Publications

  • Fast and robust parameter estimation for statistical partial volume models in brain MRI.

    Jussi Tohka;Alex P. Zijdenbos;Alan C. Evans

  • Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

    Elaheh Moradi;Antonietta Pepe;Christian Gaser;Heikki Huttunen

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • Automatic independent component labeling for artifact removal in fMRI.

    Jussi Tohka;Karin Foerde;Karin Foerde;Adam R. Aron;Adam R. Aron;Sabrina M. Tom;Sabrina M. Tom

  • Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency.

    Jukka-Pekka Kauppi;Iiro P. Jääskeläinen;Mikko Sams;Jussi Tohka

  • Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

    Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

  • Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease.

    Elaheh Moradi;Ilona Hallikainen;Tuomo Hänninen;Jussi Tohka

  • Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method.

    Jussi Tohka;Anthonin Reilhac

  • Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging

    J. Tohka;E. Krestyannikov;I.D. Dinov;A.M. Graham

  • Evaluation of machine learning algorithms for health and wellness applications: A tutorial.

    Jussi Tohka;Mark J. van Gils

  • Inter-Subject Correlation in fMRI: Method Validation against Stimulus-Model Based Analysis

    Juha Pajula;Jukka Pekka Kauppi;Jussi Tohka

  • Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review

    Juan Miguel Valverde;Vandad Imani;Ali Abdollahzadeh;Riccardo De Feo

  • Prediction of brain maturity based on cortical thickness at different spatial resolutions

    Budhachandra S. Khundrakpam;Jussi Tohka;Alan C. Evans

  • PET-SORTEO: validation and development of database of Simulated PET volumes

    A. Reilhac;G. Batan;C. Michel;C. Grova

  • Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review

    Jussi Tohka

  • How many is enough? effect of sample size in inter-subject correlation analysis of fMRI

    Juha Pajula;Jussi Tohka

  • T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance.

    John D Lewis;Alan C Evans;Jussi Tohka

  • Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

    Jussi Tohka;Elaheh Moradi;Heikki Huttunen

  • Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

    Elaheh Moradi;Budhachandra S. Khundrakpam;John D. Lewis;Alan C. Evans

  • Brain MRI tissue classification based on local Markov random fields

    Jussi Tohka;Ivo D. Dinov;David W. Shattuck;Arthur W. Toga

  • A versatile software package for inter-subject correlation based analyses of fMRI.

    Jukka Pekka Kauppi;Jukka Pekka Kauppi;Juha Pajula;Jussi Tohka

Frequent Co-Authors

Alan C. Evans
Alan C. Evans McGill University
Olli Gröhn
Olli Gröhn University of Eastern Finland
Jarmo Hietala
Jarmo Hietala Turku University Hospital
Rashid Giniatullin
Rashid Giniatullin University of Eastern Finland
Vesa Kiviniemi
Vesa Kiviniemi Oulu University Hospital
Pierrick Coupé
Pierrick Coupé University of Bordeaux
José V. Manjón
José V. Manjón Universitat Politècnica de València
Matti Isohanni
Matti Isohanni University of Oulu
Eija Jokitalo
Eija Jokitalo University of Helsinki
Iiro P. Jääskeläinen
Iiro P. Jääskeläinen Aalto University

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