World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5280
World Ranking
10349
National Ranking
4335

Ali Gholipour 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 Ali Gholipour 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.

Ali Gholipour 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 Ali Gholipour 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Ali Gholipour is affiliated with Harvard University in the United States and works primarily within the field of Medicine. Their research focuses extensively on Radiology, Nuclear Medicine and Imaging, as well as Pediatrics, Perinatology and Child Health. Additional attention is given to Computer Vision and Pattern Recognition, Artificial Intelligence, and Cognitive Neuroscience within their body of work.

The main topics of research covered by Ali Gholipour include:

  • Fetal and Pediatric Neurological Disorders
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neonatal and fetal brain pathology
  • MRI in cancer diagnosis
  • Domain Adaptation and Few-Shot Learning
  • Functional Brain Connectivity Studies

The scientist has been involved in numerous publications, with some of the noteworthy recent papers including:

  • Brain charts for the human lifespan, 2022, Nature
  • Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations, 2021, Artificial Intelligence in Medicine
  • Regional Brain Growth Trajectories in Fetuses with Congenital Heart Disease, 2020, Annals of Neurology
  • A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI, 2020, IEEE Transactions on Medical Imaging
  • Tuber Locations Associated with Infantile Spasms Map to a Common Brain Network, 2021, Annals of Neurology

Ali Gholipour frequently collaborates with several co-authors, including Simon K. Warfield, Davood Karimi, Onur Afacan, and Clemente Velasco-Annis. These partnerships have contributed to advancing research in their fields of study.

Their publications have appeared repeatedly in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Human Brain Mapping
  • Cerebral Cortex

Best Publications

  • Tversky loss function for image segmentation using 3D fully convolutional deep networks

    Seyed Sadegh Mohseni Salehi;Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Ali Gholipour

  • Deep learning with noisy labels: exploring techniques and remedies in medical image analysis

    Davood Karimi;Haoran Dou;Simon K. Warfield;Ali Gholipour

  • Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI

    A Gholipour;J A Estroff;S K Warfield

  • Brain Functional Localization: A Survey of Image Registration Techniques

    A. Gholipour;N. Kehtarnavaz;R. Briggs;M. Devous

  • A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth

    Ali Gholipour;Caitlin K. Rollins;Clemente Velasco-Annis;Abdelhakim Ouaalam

  • Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

    Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Ali Gholipour

  • Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection

    Seyed Raein Hashemi;Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Sanjay P. Prabhu

  • Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study

    Ali Gholipour;Babak N. Araabi;Caro Lucas

  • Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions

    Benoit Scherrer;Ali Gholipour;Simon K. Warfield

  • Tversky loss function for image segmentation using 3D fully convolutional deep networks

    Seyed Sadegh Mohseni Salehi;Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Ali Gholipour

  • Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images.

    Shadab Khan;Lana Vasung;Bahram Marami;Caitlin K. Rollins

  • Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations.

    Davood Karimi;Simon K. Warfield;Ali Gholipour

  • Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration

    Seyed Sadegh Mohseni Salehi;Shadab Khan;Deniz Erdogmus;Ali Gholipour

  • Fetal brain volumetry through MRI volumetric reconstruction and segmentation.

    Ali Gholipour;Judy A. Estroff;Carol E. Barnewolt;Susan A. Connolly

  • Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network

    Jinglong Du;Zhongshi He;Lulu Wang;Ali Gholipour

  • Multi-Atlas Multi-Shape Segmentation of Fetal Brain MRI for Volumetric and Morphometric Analysis of Ventriculomegaly

    Ali Gholipour;Alireza Akhondi-Asl;Judy A. Estroff;Simon K. Warfield

  • Convolution-Free Medical Image Segmentation Using Transformers

    Davood Karimi;Serge Didenko Vasylechko;Ali Gholipour

  • Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.

    Joseph Enguehard;Peter O'Halloran;Ali Gholipour

  • Temporal Slice Registration and Robust Diffusion-Tensor Reconstruction for Improved Fetal Brain Structural Connectivity Analysis

    Bahram Marami;Seyed Sadegh Mohseni Salehi;Onur Afacan;Benoit Scherrer

  • A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

    Haoran Dou;Davood Karimi;Caitlin K. Rollins;Cynthia M. Ortinau

  • Solar activity forecast: Spectral analysis and neurofuzzy prediction

    Ali Gholipour;Caro Lucas;Babak N. Araabi;Masoud Shafiee

  • Fetal brain tissue annotation and segmentation challenge results

    Unknown

  • Real-time automatic fetal brain extraction in fetal MRI by deep learning

    Seyed Sadegh Mohseni Salehi;Seyed Raein Hashemi;Clemente Velasco-Annis;Abdelhakim Ouaalam

  • Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning

    Seyed Sadegh Mohseni Salehi;Seyed Raein Hashemi;Clemente Velasco-Annis;Abdelhakim Ouaalam

Frequent Co-Authors

Simon K. Warfield
Simon K. Warfield Boston Children's Hospital
Nasser Kehtarnavaz
Nasser Kehtarnavaz The University of Texas at Dallas
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Jane W. Newburger
Jane W. Newburger Boston Children's Hospital
Caro Lucas
Caro Lucas University of Tehran
Babak Nadjar Araabi
Babak Nadjar Araabi University of Tehran
P. Ellen Grant
P. Ellen Grant Boston Children's Hospital
Mustafa Sahin
Mustafa Sahin Boston Children's Hospital
Catherine Limperopoulos
Catherine Limperopoulos George Washington University
Alan C. Evans
Alan C. Evans McGill University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in expanding your career options beyond traditional computer science, several related online degrees offer exciting pathways. Many students now explore interdisciplinary fields like environmental science or engineering to address global challenges while boosting employment prospects.

For those passionate about sustainability, consider exploring high-paying jobs with environmental science degree backgrounds. These roles increasingly require computer science and data analysis skills, making it a smart combination.

Looking for a faster route to entering the technology sector? An accelerated computer science degree program lets you earn credentials in less time, often online, and start your career sooner.

There’s also opportunity to bridge computer science with specialized engineering fields. You could enroll in an online environmental engineering degree science and engineering program or kickstart your tech future with one of the cheapest online mechanical engineering degree options.

Whether you choose a technical or interdisciplinary path, online degrees provide flexible options to advance your education and open up a wide range of rewarding careers.

Best Scientists Citing Ali Gholipour

Trending Scientists

Recently Published Articles