World's Best Scientists 2026 revealed!
Elizabeth A. Krupinski

Elizabeth A. Krupinski

D-Index & Metrics

Engineering and Technology

D-Index
66
Citations
14530
World Ranking
1434
National Ranking
469

Elizabeth A. Krupinski 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 Elizabeth A. Krupinski 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: 416 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Elizabeth A. Krupinski 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 Elizabeth A. Krupinski 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: 66 D-Index — 86th percentile

86% 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

  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2008 - SPIE Fellow

Overview

Elizabeth A. Krupinski is affiliated with Emory University in the United States. Their research primarily spans the field of Medicine with a focused interest in radiology, health professions, and health informatics.

Their publication record includes work in key subfields such as Radiology, Nuclear Medicine and Imaging; Public Health, Environmental and Occupational Health; General Health Professions; Health Informatics; and Artificial Intelligence. This diverse expertise highlights a multifaceted approach to medical imaging and healthcare technology.

Key topics of their research include:

  • Radiology practices and education
  • Telemedicine and Telehealth Implementation
  • Artificial Intelligence in Healthcare and Education
  • Radiomics and Machine Learning in Medical Imaging
  • Radiation Dose and Imaging
  • AI in cancer detection
  • COVID-19 and healthcare impacts

The scientist has published extensively in several prominent venues, demonstrating consistent contributions to the fields of medical imaging and telehealth:

  • Academic Radiology (9 publications)
  • Journal of Medical Imaging (8 publications)
  • Journal of Imaging Informatics in Medicine (6 publications)
  • Telemedicine Journal and e-Health (5 publications)
  • Journal of the American College of Radiology (5 publications)

Recent papers authored or co-authored by Krupinski exemplify a blend of telehealth, radiology workload concerns, and applications of artificial intelligence in medical imaging:

  • Expert Consensus: Telehealth Skills for Health Care Professionals, 2020, Telemedicine Journal and e-Health
  • Mandating Limits on Workload, Duty, and Speed in Radiology, 2022, Radiology
  • Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports, 2023, Clinical Imaging
  • Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review, 2021, Journal of Technology in Behavioral Science
  • The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings, 2020, Radiology Artificial Intelligence

Frequent collaboration partners include:

  • Judy Wawira Gichoya
  • Donald M. Hilty
  • Nabile Safdar
  • Michael A. Bruno
  • Hari Trivedi

Among their distinctions are the Fellow of the Indian National Academy of Engineering (INAE) awarded in 2017, and recognition as an SPIE Fellow in 2008. These honors acknowledge contributions within engineering and imaging sciences communities.

Best Publications

  • Telemedicine, Telehealth, and Mobile Health Applications That Work: Opportunities and Barriers

    Ronald S. Weinstein;Ana Maria Lopez;Bellal A. Joseph;Kristine A. Erps

  • Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

    Alejandro Rodríguez-Ruiz;Elizabeth Krupinski;Jan Jurre Mordang;Kathy Schilling

  • The Taxonomy of Telemedicine

    Rashid L. Bashshur;Gary W. Shannon;Elizabeth A. Krupinski;Jim Grigsby

  • Current perspectives in medical image perception.

    Elizabeth A. Krupinski

  • Bone marrow edema pattern in advanced hip osteoarthritis: quantitative assessment with magnetic resonance imaging and correlation with clinical examination, radiographic findings, and histopathology

    Mihra S. Taljanovic;Anna R. Graham;James B. Benjamin;Arthur F. Gmitro

  • Visual scanning patterns of radiologists searching mammograms.

    Elizabeth A. Krupinski

  • Long radiology workdays reduce detection and accommodation accuracy.

    Elizabeth A. Krupinski;Kevin S. Berbaum;Robert T. Caldwell;Kevin M. Schartz

  • Best Practices in Videoconferencing-Based Telemental Health April 2018.

    Jay H. Shore;Peter Yellowlees;Robert Caudill;Barbara Johnston

  • ATA practice guidelines for video-based online mental health services.

    Carolyn Turvey;Mirean Coleman;Oran Dennison;Kenneth Drude

  • Digital Radiography Image Quality: Image Acquisition

    Mark B. Williams;Elizabeth A. Krupinski;Keith J. Strauss;William K. Breeden

  • Visual interest in pictorial art during an aesthetic experience.

    Paul Locher;Elizabeth A. Krupinski;Claudia Mello-Thoms;Calvin F. Nodine

  • Diagnostic accuracy and image quality using a digital camera for teledermatology.

    Elizabeth A. Krupinski;Ben LeSueur;Lansing Ellsworth;Norman Levine

  • Thoracic aortic dissection and aneurysm: evaluation with nonenhanced true FISP MR angiography in less than 4 minutes.

    F. Scott Pereles;Richard M. McCarthy;Visveshwar Baskaran;James C. Carr

  • Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.

    Harold L. Kundel;Calvin F. Nodine;Elizabeth A. Krupinski

  • Using gaze-tracking data and mixture distribution analysis to support a holistic model for the detection of cancers on mammograms.

    Harold L. Kundel;Calvin F. Nodine;Elizabeth A. Krupinski;Claudia Mello-Thoms

  • Perceptual skill, radiology expertise, and visual test performance with NINA and WALDO

    Calvin F. Nodine;Elizabeth A. Krupinski

  • Characterizing the development of visual search expertise in pathology residents viewing whole slide images.

    Elizabeth A. Krupinski;Anna R. Graham;Ronald S. Weinstein

  • Dynamic-robotic telepathology: Department of veterans affairs feasibility study

    Bruce E Dunn;Urias A Almagro;Hongyung Choi;Neela K Sheth

  • Computer-displayed eye position as a visual aid to pulmonary nodule interpretation.

    Harold L. Kundel;Calvin F. Nodine;Elizabeth A. Krupinski

  • Recording and analyzing eye-position data using a microcomputer workstation

    C. F. Nodine;H. L. Kundel;L. C. Toto;E. A. Krupinski

  • ACR–AAPM–SIIM Technical Standard for Electronic Practice of Medical Imaging

    James T. Norweck;J. Anthony Seibert;Katherine P. Andriole;David A. Clunie

Frequent Co-Authors

Neil Charness
Neil Charness Florida State University
Ehsan Samei
Ehsan Samei Duke University
Jim Grigsby
Jim Grigsby University of Colorado Denver
David D. Luxton
David D. Luxton University of Washington
Carolyn C. Meltzer
Carolyn C. Meltzer Emory University
Eliot L. Siegel
Eliot L. Siegel University of Maryland, Baltimore
Georgia D. Tourassi
Georgia D. Tourassi Oak Ridge National Laboratory
Heang Ping Chan
Heang Ping Chan University of Michigan–Ann Arbor
Ulas Bagci
Ulas Bagci Northwestern University
Perry J. Pickhardt
Perry J. Pickhardt University of Wisconsin–Madison

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