World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
8550
World Ranking
7909
National Ranking
2167

Kyle J. Myers 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 Kyle J. Myers 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: 232 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Kyle J. Myers 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 Kyle J. Myers 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: 38 D-Index — 20th percentile

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

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

Overview

Kyle J. Myers is a researcher affiliated with Texas A&M University in the United States, with a primary focus on the field of Medicine. Their work concentrates heavily on Radiology, Nuclear Medicine and Imaging, along with significant contributions to Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Biomedical Engineering, and Health Informatics.

Their research topics span several specialized areas including:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Cardiovascular Function and Risk Factors
  • Advanced X-ray and CT Imaging
  • COVID-19 diagnosis using AI
  • Lung Cancer Diagnosis and Treatment

Kyle J. Myers has published extensively in several scholarly venues. Frequent publishing outlets include:

  • Journal of Medical Imaging
  • arXiv (Cornell University)
  • Medical Physics
  • European Journal of Cancer
  • bioRxiv (Cold Spring Harbor Laboratory)

Some of their recent significant papers are:

  • "Development of metaverse for intelligent healthcare," 2022, Nature Machine Intelligence
  • "Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential," 2023, Visual Computing for Industry Biomedicine and Art
  • "Direct additive manufacturing of metal parts for automotive applications," 2023, Journal of Manufacturing Systems
  • "Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment," 2023, Journal of Medical Imaging
  • "Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods," 2021, PET Clinics

Kyle J. Myers collaborates frequently with several scholars in their field. Notable co-authors include:

  • Reza Avazmohammadi
  • Maryellen L. Giger
  • Rongping Zeng
  • Sunder Neelakantan
  • Karen Drukker

Best Publications

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Satyapal Rathee

  • Model observers for assessment of image quality

    Harrison H. Barrett;Jie Yao;Jannick P. Rolland;Kyle J. Myers

  • Addition of a channel mechanism to the ideal-observer model.

    Kyle J. Myers;Harrison H. Barrett

  • Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance

    Harrison H. Barrett;J. L. Denny;Robert F. Wagner;Kyle J. Myers

  • Effect of noise correlation on detectability of disk signals in medical imaging

    K. J. Myers;H. H. Barrett;M. C. Borgstrom;D. D. Patton

  • Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

    Ehsan Samei;Donovan Bakalyar;Kirsten L. Boedeker;Samuel Brady

  • Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.

    Aldo Badano;Christian G. Graff;Andreu Badal;Diksha Sharma

  • Hotelling trace criterion and its correlation with human-observer performance.

    R. D. Fiete;H. H. Barrett;W. E. Smith;K. J. Myers

  • Noncalcified Lung Nodules: Volumetric Assessment with Thoracic CT

    Marios A. Gavrielides;Lisa M. Kinnard;Kyle J. Myers;Nicholas Petrick

  • Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

    Nancy A Obuchowski;Anthony P Reeves;Erich P Huang;Xiao-Feng Wang

  • Toward consensus on quantitative assessment of medical imaging systems.

    Charles E. Metz;Robert F. Wagner;Kunio Doi;David G. Brown

  • Task-based measures of image quality and their relation to radiation dose and patient risk

    Harrison H Barrett;Kyle J Myers;Christoph Hoeschen;Matthew A Kupinski

  • Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer

    H. Masmoudi;S.M. Hewitt;N. Petrick;K.J. Myers

  • Aperture optimization for emission imaging: effect of a spatially varying background.

    K. J. Myers;J. P. Rolland;H. H. Barrett;R. F. Wagner

  • Objective assessment of image quality and dose reduction in CT iterative reconstruction

    J Y Vaishnav;W C Jung;Lucretiu M Popescu;R Zeng

  • Reconstruction of MR images from data acquired on a general nonregular grid by pseudoinverse calculation

    R. Van De Walle;H.H. Barrett;K.J. Myers;M.I. Aitbach

  • Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

    Brandon D. Gallas;Heang Ping Chan;Carl J. D'Orsi;Lori E. Dodd

  • A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom

    Marios A. Gavrielides;Lisa M. Kinnard;Kyle J. Myers;Jennifer Peregoy

  • A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

    Stefano Young;Predrag R. Bakic;Kyle J. Myers;Robert J. Jennings

  • Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal

    Subok Park;Harrison H. Barrett;Eric Clarkson;Matthew A. Kupinski

  • A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms.

    Subok Park;Robert Jennings;Haimo Liu;Aldo Badano

  • Objective assessment of image quality. IV. Application to adaptive optics.

    Harrison H. Barrett;Kyle J. Myers;Nicholas Devaney;Christopher Dainty

  • Megalopinakophobia: its symptoms and cures

    Harrison H. Barrett;Kyle J. Myers;Brandon D. Gallas;Eric Clarkson

  • Signal detectability in digital radiography: spatial domain figures of merit.

    Robert M. Gagne;Jonathan S. Boswell;Kyle J. Myers

  • Toward objective and quantitative evaluation of imaging systems using images of phantoms

    Robert M. Gagne;Brandon D. Gallas;Kyle J. Myers

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Sreeram Dhurjaty

  • Information Processing in Medical Imaging

    Jerry L. Prince;Dzung L. Pham;Kyle J. Myers

Frequent Co-Authors

Harrison H. Barrett
Harrison H. Barrett University of Arizona
Nicholas Petrick
Nicholas Petrick US Food and Drug Administration
Berkman Sahiner
Berkman Sahiner United States Food and Drug Administration
Charles E. Metz
Charles E. Metz University of Chicago
Craig K. Abbey
Craig K. Abbey University of California, Santa Barbara
Miguel P. Eckstein
Miguel P. Eckstein University of California, Santa Barbara
Jerry L. Prince
Jerry L. Prince Johns Hopkins University
Jannick P. Rolland
Jannick P. Rolland University of Rochester
Dzung L. Pham
Dzung L. Pham Henry M. Jackson Foundation
Maryellen L. Giger
Maryellen L. Giger University of Chicago

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