World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
25592
World Ranking
8221
National Ranking
2257

Adam Coates 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 Adam Coates 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: 83 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Adam Coates 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 Adam Coates 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Adam Coates is a researcher affiliated with Apple in the United States. Their work predominantly focuses on neuroscience, with particular attention to cognitive neuroscience and advanced neuroimaging methods.

Coates has contributed to multiple publications in specialized venues, reflecting a focus on imaging and data-driven neuroscience. Their recent papers include:

  • High-resolution dataset of manual claustrum segmentation, 2024, Data in Brief
  • High-resolution 7T fMRI reveals the visual zone of the human claustrum, 2024, Imaging Neuroscience
  • High-resolution 7T fMRI reveals the visual sensory zone of the human claustrum, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • High-Resolution Dataset of Manual Claustrum Segmentation, 2023, SSRN Electronic Journal

Their research incorporates the use of advanced MRI techniques and medical image segmentation approaches. These methods align with their main scientific interests, which also cover topics such as spatial neglect and hemispheric dysfunction, hallucinations in medical conditions, and neural dynamics related to visual perception and brain function.

Frequent co-authorship with other researchers is notable in Coates's work, including collaborations with Natalia Zaretskaya, David Linhardt, Christian Windischberger, Anja Ischebeck, and Dominik Zuschlag. These collaborations appear alongside their contributions in venues dedicated to neuroimaging and neuroscience.

The primary fields and subfields in which Coates publishes are:

  • Neuroscience
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Automotive Engineering

The main topics of Coates's research include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Hallucinations in medical conditions
  • Spatial Neglect and Hemispheric Dysfunction
  • Visual perception and processing mechanisms
  • Neural dynamics and brain function

Coates's publication record shows a pattern of research that revolves around high-resolution imaging of the human brain, with particular emphasis on the claustrum and its visual sensory zones. This focus supports investigations into mechanisms of visual processing and brain lateralization. The venues in which Coates publishes frequently include Data in Brief, Imaging Neuroscience, bioRxiv, SSRN Electronic Journal, and Journal of Vision.

Best Publications

  • Reading Digits in Natural Images with Unsupervised Feature Learning

    Yuval Netzer;Tao Wang;Adam Coates;Alessandro Bissacco

  • An analysis of single-layer networks in unsupervised feature learning

    Adam Coates;Andrew Y. Ng;Honglak Lee

  • Deep speech 2: end-to-end speech recognition in English and mandarin

    Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

  • Deep Speech: Scaling up end-to-end speech recognition

    Awni Y. Hannun;Carl Case;Jared Casper;Bryan Catanzaro

  • On optimization methods for deep learning

    Jiquan Ngiam;Adam Coates;Ahbik Lahiri;Bobby Prochnow

  • End-to-end text recognition with convolutional neural networks

    Tao Wang;David J. Wu;Adam Coates;Andrew Y. Ng

  • Deep learning with COTS HPC systems

    Adam Coates;Brody Huval;Tao Wang;David Wu

  • An Application of Reinforcement Learning to Aerobatic Helicopter Flight

    Pieter Abbeel;Adam Coates;Morgan Quigley;Andrew Y. Ng

  • Learning Feature Representations with K-Means

    Adam Coates;Andrew Y. Ng

  • Autonomous Helicopter Aerobatics through Apprenticeship Learning

    Pieter Abbeel;Adam Coates;Andrew Y. Ng

  • Autonomous Inverted Helicopter Flight via Reinforcement Learning

    Andrew Y. Ng;Adam Coates;Mark Diel;Varun Ganapathi

  • The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization

    Adam Coates;Andrew Y. Ng

  • An Empirical Evaluation of Deep Learning on Highway Driving

    Brody Huval;Tao Wang;Sameep Tandon;Jeff Kiske

  • Deep Voice: Real-time Neural Text-to-Speech

    Sercan Ömer Arik;Mike Chrzanowski;Adam Coates;Gregory Frederick Diamos

  • Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning

    Adam Coates;Blake Carpenter;Carl Case;Sanjeev Satheesh

  • Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

    Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

  • Learning for control from multiple demonstrations

    Adam Coates;Pieter Abbeel;Andrew Y. Ng

  • Selecting Receptive Fields in Deep Networks

    Adam Coates;Andrew Y. Ng

  • Exploring neural transducers for end-to-end speech recognition

    Eric Battenberg;Jitong Chen;Rewon Child;Adam Coates

  • Discriminative Training of Kalman Filters.

    Pieter Abbeel;Adam Coates;Michael Montemerlo;Andrew Y. Ng

Frequent Co-Authors

Andrew Y. Ng
Andrew Y. Ng Stanford University
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Bryan Catanzaro
Bryan Catanzaro Nvidia (United States)
Tao Wang
Tao Wang Stanford University
Sebastian Thrun
Sebastian Thrun Stanford University
Dani Yogatama
Dani Yogatama University of Southern California
Michael Montemerlo
Michael Montemerlo Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Pranav Rajpurkar
Pranav Rajpurkar Harvard University

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