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Mert R. Sabuncu

D-Index & Metrics

Computer Science

D-Index
53
Citations
16549
World Ranking
4714
National Ranking
2188

Mert R. Sabuncu 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 Mert R. Sabuncu 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 260 publications — 65th percentile

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

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

Mert R. Sabuncu 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 Mert R. Sabuncu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Mert R. Sabuncu is affiliated with Cornell University in the United States. Their research focuses primarily on Medicine and Computer Science, with particular attention to subfields such as Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Biomedical Engineering.

Sabuncu's work covers several key topics including:

  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Machine Learning in Healthcare
  • Medical Imaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced Neural Network Applications

The scientist has contributed to numerous publications, with notable recent papers including:

  • "Heritability and interindividual variability of regional structure-function coupling" (2021), published in Nature Communications
  • "Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI" (2020), published in IEEE Transactions on Computational Imaging
  • "Heritability of individualized cortical network topography" (2021), published in Proceedings of the National Academy of Sciences
  • "Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke" (2020), published in Neurorehabilitation and Neural Repair
  • "Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction" (2020), published in NeuroImage

Their frequent coauthors include:

  • Amy Kuceyeski
  • Heejong Kim
  • Adrian V. Dalca
  • Alan Q. Wang
  • Keith Jamison

Sabuncu publishes extensively in several venues, particularly:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Lecture Notes in Computer Science
  • NeuroImage
  • Medical Image Analysis

Their publication record includes a strong presence in preprint repositories and journals that intersect both computational imaging and neuroscience.

Best Publications

  • The influence of head motion on intrinsic functional connectivity MRI.

    Koene R.A. Van Dijk;Mert R. Sabuncu;Mert R. Sabuncu;Randy L. Buckner

  • VoxelMorph: A Learning Framework for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

  • Generalized cross entropy loss for training deep neural networks with noisy labels

    Zhilu Zhang;Mert R. Sabuncu

  • Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

    Zhilu Zhang;Mert R. Sabuncu

  • Multi-Atlas Segmentation of Biomedical Images: A Survey

    Juan Eugenio Iglesias;Mert Rory Sabuncu

  • Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

    Ru Kong;Jingwei Li;Csaba Orban;Mert R Sabuncu

  • An Unsupervised Learning Model for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;Adrian V. Dalca

  • An Unsupervised Learning Model for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

  • A Generative Model for Image Segmentation Based on Label Fusion

    Mert R Sabuncu;B T Thomas Yeo;K Van Leemput;Bruce Fischl

  • Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.

    Jorge L. Bernal-Rusiel;Douglas N. Greve;Martin Reuter;Bruce Fischl

  • Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

    Adrian V. Dalca;Adrian V. Dalca;Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

  • Global signal regression strengthens association between resting-state functional connectivity and behavior

    Jingwei Li;Ru Kong;Raphaël Liégeois;Csaba Orban

  • Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

    B.T.T. Yeo;M.R. Sabuncu;T. Vercauteren;N. Ayache

  • Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

    Tong He;Ru Kong;Avram J. Holmes;Minh Nguyen

  • Neurobiological basis of head motion in brain imaging

    Ling-Li Zeng;Ling-Li Zeng;Danhong Wang;Michael D. Fox;Michael D. Fox;Mert Sabuncu

  • Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

    Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

  • Measuring and comparing brain cortical surface area and other areal quantities.

    Anderson M. Winkler;Mert R. Sabuncu;Mert R. Sabuncu;B. T. Thomas Yeo;Bruce Fischl;Bruce Fischl

  • Function-based Intersubject Alignment of Human Cortical Anatomy

    Mert R. Sabuncu;Benjamin D. Singer;Bryan Conroy;Ronald E. Bryan;Ronald E. Bryan

  • Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

    Adrian V. Dalca;Guha Balakrishnan;John Guttag;Mert R. Sabuncu

  • Heritability and interindividual variability of regional structure-function coupling.

    Zijin Gu;Keith Wakefield Jamison;Mert Rory Sabuncu;Amy Kuceyeski

  • Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

    Mert R. Sabuncu;Mert R. Sabuncu;Ender Konukoglu

  • Machine learning in resting-state fMRI analysis.

    Meenakshi Khosla;Keith Jamison;Gia H. Ngo;Amy Kuceyeski

  • Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data

    Jorge L. Bernal-Rusiel;Martin Reuter;Douglas N. Greve;Bruce Fischl

  • Heritability analysis with repeat measurements and its application to resting-state functional connectivity.

    Tian Ge;Avram J. Holmes;Randy L. Buckner;Jordan W. Smoller

  • Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

    Cagla D. Bahadir;Alan Q. Wang;Adrian V. Dalca;Mert R. Sabuncu

Frequent Co-Authors

Adrian V. Dalca
Adrian V. Dalca MIT
B.T. Thomas Yeo
B.T. Thomas Yeo National University of Singapore
Avram J. Holmes
Avram J. Holmes Yale University
John V. Guttag
John V. Guttag MIT
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Polina Golland
Polina Golland MIT
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Hesheng Liu
Hesheng Liu Peking University
Bruce Fischl
Bruce Fischl Harvard University
R. Nathan Spreng
R. Nathan Spreng McGill University

External Links

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Best Scientists Citing Mert R. Sabuncu

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