World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
7279
World Ranking
8284
National Ranking
2287

Miles N. Wernick 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 Miles N. Wernick 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: 248 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Miles N. Wernick 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 Miles N. Wernick 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.

Research.com Recognitions

  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Miles N. Wernick is affiliated with the Illinois Institute of Technology in the United States. Their primary research domain lies in Medicine, with a focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Psychiatry and Mental Health, Physiology, and Computer Vision and Pattern Recognition.

The scientist's publication record is predominantly centered on topics such as Medical Imaging Techniques and Applications, Advanced MRI Techniques and Applications, Cardiac Imaging and Diagnostics, Advanced X-ray and CT Imaging, Dementia and Cognitive Impairment Research, Alzheimer's Disease Research and Treatments, and Advanced Neuroimaging Techniques and Applications.

Frequent co-authors collaborating with Miles N. Wernick include:

  • Yongyi Yang
  • P. Hendrik Pretorius
  • Michael A. King
  • Junchi Liu
  • Kesava S. Kalluri

The scientist has contributed to multiple publication venues, notably:

  • Journal of Nuclear Cardiology
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Transactions on Medical Imaging
  • Medical Physics
  • Alzheimer's & Dementia Translational Research & Clinical Interventions

Recent papers authored or co-authored by Miles N. Wernick include:

  • "Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks", 2020, IEEE Transactions on Medical Imaging
  • "Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging", 2020, Medical Physics
  • "Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising", 2021, Journal of Nuclear Cardiology
  • "Measurement of neurodegeneration using a multivariate early frame amyloid PET classifier", 2022, Alzheimer's & Dementia Translational Research & Clinical Interventions
  • "Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning", 2023, Journal of Nuclear Cardiology

Miles N. Wernick was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2015.

Best Publications

  • A support vector machine approach for detection of microcalcifications

    I. El-Naqa;Yongyi Yang;M.N. Wernick;N.P. Galatsanos

  • Machine Learning in Medical Imaging

    Miles Wernick;Yongyi Yang;Jovan Brankov;Grigori Yourganov

  • SPATIAL RELATIONSHIPS IN EARLY SIGNALING EVENTS OF FLOW-MEDIATED ENDOTHELIAL MECHANOTRANSDUCTION

    Peter F. Davies;Kenneth A. Barbee;Michael V. Volin;Andre Robotewskyj

  • A similarity learning approach to content-based image retrieval: application to digital mammography

    I. El-Naqa;Yongyi Yang;N.P. Galatsanos;R.M. Nishikawa

  • Multiple-image radiography

    Miles N Wernick;Oliver Wirjadi;Oliver Wirjadi;Dean Chapman;Zhong Zhong

  • Relevance vector machine for automatic detection of clustered microcalcifications

    Liyang Wei;Yongyi Yang;R.M. Nishikawa;M.N. Wernick

  • Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields

    Yusuf Artan;Masoom A Haider;Deanna L Langer;Theodorus H van der Kwast

  • Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class

    Xin Liu;D.L. Langer;M.A. Haider;Y. Yang

  • Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.

    Sedat Ozer;Deanna L. Langer;Xin Liu;Masoom A. Haider

  • Fast spatio-temporal image reconstruction for dynamic PET

    M.N. Wernick;E.J. Infusino;M. Milosevic

  • Tomographic image reconstruction based on a content-adaptive mesh model

    J.G. Brankov;Yongyi Yang;M.N. Wernick

  • A fast approach for accurate content-adaptive mesh generation

    Yongyi Yang;M.N. Wernick;J.G. Brankov

  • A physical model of multiple-image radiography

    Gocha Khelashvili;Jovan G Brankov;Dean Chapman;Mark A Anastasio

  • Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks

    Albert Juan Ramon;Yongyi Yang;P. Hendrik Pretorius;Karen L. Johnson

  • FDG PET Parkinson's disease-related pattern as a biomarker for clinical trials in early stage disease.

    Dawn C. Matthews;Hedva Lerman;Ana Lukic;Randolph D. Andrews

  • A computed tomography implementation of multiple-image radiography.

    Jovan G. Brankov;Miles N. Wernick;Yongyi Yang;Jun Li

  • An evaluation of methods for detecting brain activations from functional neuroimages

    Ana S. Lukic;Miles N. Wernick;Stephen C. Strother

  • An extended diffraction-enhanced imaging method for implementing multiple-image radiography.

    Cheng Ying Chou;Mark A. Anastasio;Jovan G. Brankov;Miles N. Wernick

  • Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning

    David Haro Alonso;Miles N. Wernick;Yongyi Yang;Guido Germano

  • Application of the Karhunen-Loeve transform to 4D reconstruction of cardiac gated SPECT images

    M.V. Narayanan;M.A. King;E.J. Soares;C.L. Byrne

  • Image reconstruction for dynamic PET based on low-order approximation and restoration of the sinogram

    Chien-Min Kao;J.T. Yap;J. Mukherjee;M.N. Wernick

  • Optimization of iterative reconstructions of /sup 99m/Tc cardiac SPECT studies using numerical observers

    M.V. Narayanan;H.C. Gifford;M.A. King;P.H. Pretorius

  • A computational model to generate simulated three-dimensional breast masses.

    Luis de Sisternes;Jovan G. Brankov;Adam M. Zysk;Robert A. Schmidt

Frequent Co-Authors

Yongyi Yang
Yongyi Yang Illinois Institute of Technology
Nikolas P. Galatsanos
Nikolas P. Galatsanos University of Ioannina
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Mark A. Anastasio
Mark A. Anastasio University of Illinois at Urbana-Champaign
Stephen C. Strother
Stephen C. Strother University of Toronto
Piotr J. Slomka
Piotr J. Slomka Cedars-Sinai Medical Center
Mark E. Schmidt
Mark E. Schmidt Janssen (Belgium)
Aristidis Likas
Aristidis Likas University of Ioannina
Charles Byrne
Charles Byrne University of Massachusetts Lowell
Robert A. Rissman
Robert A. Rissman University of California, San Diego

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