World's Best Scientists 2026 revealed!
Hamid Soltanian-Zadeh

Hamid Soltanian-Zadeh

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Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
52
Citations
10457
World Ranking
5101
National Ranking
2

Hamid Soltanian-Zadeh 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 Hamid Soltanian-Zadeh 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: 537 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Hamid Soltanian-Zadeh 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 Hamid Soltanian-Zadeh 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Iran Leader Award
  • 2025 - Research.com Computer Science in Iran Leader Award
  • 2022 - Research.com Computer Science in Iran Leader Award
  • 2019 - SPIE Fellow

Overview

Hamid Soltanian-Zadeh is affiliated with the University of Tehran in Iran. Their research contributions span multiple disciplines within medicine and neuroscience, with a significant focus on cognitive neuroscience and imaging techniques.

The scientist's primary fields of study include:

  • Medicine
  • Neuroscience

Subfields of particular interest encompass:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental Health
  • Neurology
  • Computer Vision and Pattern Recognition

The research topics frequently addressed are:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Epilepsy Research and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Neural Dynamics and Brain Function
  • Advanced MRI Techniques and Applications
  • COVID-19 Diagnosis Using AI

Hamid Soltanian-Zadeh has co-authored extensively with several other scientists, including:

  • Sanjay M. Sisodiya
  • Carrie R. McDonald
  • Fernando Cendes
  • Luis Concha
  • Esmaeil Davoodi-Bojd

The scientist's work has been published frequently in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Neurology
  • Frontiers in Human Neuroscience
  • 2022 30th International Conference on Electrical Engineering (ICEE)

Recent notable publications include:

  • White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study, 2020, Brain
  • Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study, 2020, Science Advances
  • Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing, 2020, Artificial Intelligence in Medicine
  • Multi-scale convolutional neural network for automated AMD classification using retinal OCT images, 2022, Computers in Biology and Medicine
  • Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression, 2022, Nature Communications

Recognition for their contributions includes the SPIE Fellow award received in 2019.

Best Publications

  • Automatic recognition of five types of white blood cells in peripheral blood

    Seyed Hamid Rezatofighi;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Radon transform orientation estimation for rotation invariant texture analysis

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Multiwavelet grading of pathological images of prostate

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms

    Hamid Soltanian-Zadeh;Farshid Rafiee-Rad;Siamak Pourabdollah-Nejad D

  • Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Image retrieval based on shape similarity by edge orientation autocorrelogram

    Fariborz Mahmoudi;Jamshid Shanbehzadeh;Amir-Masoud Eftekhari-Moghadam;Hamid Soltanian-Zadeh

  • Segmentation of multiple sclerosis lesions in MR images: a review.

    Daryoush Mortazavi;Abbas Z. Kouzani;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.

    Sara Larivière;Raúl Rodríguez-Cruces;Jessica Royer;Maria Eugenia Caligiuri

  • Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things

    Mohammad-Parsa Hosseini;Dario Pompili;Kost Elisevich;Hamid Soltanian-Zadeh

  • Pigment Melanin: Pattern for Iris Recognition

    M.S. Hosseini;B.N. Araabi;H. Soltanian-Zadeh

  • Time Course of ADCw Changes in Ischemic Stroke: Beyond the Human Eye!

    V. Nagesh;K. M. A. Welch;J. P. Windham;S. Patel

  • A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences

    H. Soltanian-Zadeh;J.P. Windham;D.J. Peck;A.E. Yagle

  • A three-dimensional deformable model for segmentation of human prostate from ultrasound images.

    Amir Ghanei;Amir Ghanei;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Alexander Ratkewicz;Fang-Fang Yin

  • An image analysis approach for automatic malignancy determination of prostate pathological images.

    Reza Farjam;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Kourosh Jafari-Khouzani;Kourosh Jafari-Khouzani;Reza A. Zoroofi

  • Registration and warping of magnetic resonance images to histological sections.

    Michael A. Jacobs;Michael A. Jacobs;Joe P. Windham;Joe P. Windham;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Donald J. Peck

  • Cloud-based deep learning of big EEG data for epileptic seizure prediction

    Mohammad-Parsa Hosseini;Hamid Soltanian-Zadeh;Kost Elisevich;Dario Pompili

  • Web-based interactive 2D/3D medical image processing and visualization software

    Seyyed Ehsan Mahmoudi;Alireza Akhondi-Asl;Roohollah Rahmani;Shahrooz Faghih-Roohi

  • Unsupervised segmentation of multiparameter MRI in experimental cerebral ischemia with comparison to T2, diffusion, and ADC MRI parameters and histopathological validation.

    Michael A. Jacobs;Michael A. Jacobs;Robert A. Knight;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Zhang G. Zheng

  • Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images.

    Arman Rahmim;Peng Huang;Nikolay Shenkov;Sima Fotouhi

  • Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing.

    Mohammad-Parsa Hosseini;Mohammad-Parsa Hosseini;Mohammad-Parsa Hosseini;Tuyen X. Tran;Dario Pompili;Kost V. Elisevich

  • A model for multiparametric mri tissue characterization in experimental cerebral ischemia with histological validation in rat: part 1.

    Michael A. Jacobs;Zheng G. Zhang;Robert A. Knight;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Automatic recognition of five types of white blood cells in peripheral blood

    Seyed Hamid Rezatofighi;Kosar Khaksari;Hamid Soltanian-Zadeh

Frequent Co-Authors

Michael Chopp
Michael Chopp Oakland University
Babak Nadjar Araabi
Babak Nadjar Araabi University of Tehran
Christian Jutten
Christian Jutten Grenoble Alpes University
Ali S. Arbab
Ali S. Arbab Augusta University
Mei Lu
Mei Lu Henry Ford Health System
Simon S. Keller
Simon S. Keller University of Liverpool
Khalid Hamandi
Khalid Hamandi Cardiff University
Terence J. O'Brien
Terence J. O'Brien Monash University
Dario Pompili
Dario Pompili Rutgers, The State University of New Jersey
Arman Rahmim
Arman Rahmim University of British Columbia

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