World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
9183
World Ranking
3673
National Ranking
1072

David L. Wilson 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 David L. Wilson 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: 418 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.

David L. Wilson 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 David L. Wilson 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: 52 D-Index — 64th percentile

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

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

Overview

David L. Wilson is affiliated with Case Western Reserve University in the United States. The primary area of their research lies within medicine, with a focus on subfields such as Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, and Pulmonary and Respiratory Medicine.

The scientist's work prominently covers topics including Cardiac Imaging and Diagnostics, Coronary Interventions and Diagnostics, Cardiovascular Disease and Adiposity, Advanced X-ray and CT Imaging, Cerebrovascular and Carotid Artery Diseases, Optical Coherence Tomography Applications, and Cardiovascular Function and Risk Factors.

David L. Wilson has contributed to a number of recent publications spanning various journals and conferences. Some of these include:

  • Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features (2020, Scientific Reports)
  • Segmentation of Coronary Calcified Plaque in Intravascular OCT Images Using a Two-Step Deep Learning Approach (2020, IEEE Access)
  • Artificial Intelligence in Intracoronary Imaging (2020, Current Cardiology Reports)
  • Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans (2022, Scientific Reports)
  • Fascicles split or merge every ∼560 microns within the human cervical vagus nerve (2022, Journal of Neural Engineering)

Frequent co-authors in their research include Ammar Hoori, Juhwan Lee, Sadeer Al-Kindi, Vladislav N. Zimin, and Hiram G. Bezerra, reflecting collaborative work in multiple interdisciplinary projects.

Key publication venues where David L. Wilson has frequently published are:

  • Scientific Reports
  • Journal of Cardiovascular Computed Tomography
  • arXiv (Cornell University)
  • Circulation
  • Journal of Medical Imaging

The scientist's scholarly output illustrates a multidisciplinary approach centered on cardiovascular imaging and diagnostics, combining clinical insights with emerging artificial intelligence and advanced imaging technologies. Their research contributes to understanding cardiovascular pathology through innovative computational and imaging techniques.

Best Publications

  • Reimagining high-throughput profiling of reactive cysteines for cell-based screening of large electrophile libraries.

    Miljan Kuljanin;Dylan C. Mitchell;Devin K. Schweppe;Devin K. Schweppe;Ajami S. Gikandi

  • MRI detection of breast cancer micrometastases with a fibronectin-targeting contrast agent

    Zhuxian Zhou;Mohammed Qutaish;Zheng Han;Rebecca M. Schur

  • An adaptive segmentation algorithm for time-of-flight MRA data

    D.L. Wilson;J.A. Noble

  • Overexpression of the Cytosolic Form of Phosphoenolpyruvate Carboxykinase (GTP) in Skeletal Muscle Repatterns Energy Metabolism in the Mouse

    Parvin Hakimi;Jianqi Yang;Gemma Casadesus;Duna Massillon

  • Calcium current‐dependent and voltage‐dependent inactivation of calcium channels in Helix aspersa

    A. M. Brown;K. Morimoto;Y. Tsuda;D. L. Wilson

  • Ultrahigh-speed optical coherence tomography imaging and visualization of the embryonic avian heart using a buffered Fourier Domain Mode Locked laser

    M. W. Jenkins;D. C. Adler;M. Gargesha;R. Huber

  • Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment

    A. Carrillo;J.L. Duerk;J.S. Lewin;D.L. Wilson

  • 4D embryonic cardiography using gated optical coherence tomography

    M. W. Jenkins;F. Rothenberg;D. Roy;V. P. Nikolski

  • Handbook of Biomedical Image Analysis

    Jasjit S. Suri;David L. Wilson;Swamy Laxminarayan

  • Automatic MR volume registration and its evaluation for the pelvis and prostate.

    Baowei Fei;Andrew Wheaton;Zhenghong Lee;Zhenghong Lee;Jeffrey L. Duerk;Jeffrey L. Duerk

  • Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer

    Baowei Fei;J.L. Duerk;D.T. Boll;J.S. Lewin

  • Morphological restoration of atomic force microscopy images

    David L Wilson;Kenneth S. Kump;Steven J. Eppell;Roger E. Marchant

  • Volumetric quantification of fibrous caps using intravascular optical coherence tomography

    Zhao Wang;Daniel Chamie;Hiram G. Bezerra;Hirosada Yamamoto

  • Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization

    O. Salvado;C. Hillenbrand;Shaoxiang Zhang;D.L. Wilson

  • Segmentation and quantification for intravascular optical coherence tomography images

    Andrew Rollins;David Wilson;Marco Costa;Hiram Bezerra

  • Volumetric characterization of human coronary calcification by frequency-domain optical coherence tomography.

    Emile Mehanna;Hiram G. Bezerra;David Prabhu;Eric Brandt

  • Computer-aided diagnosis of dysplasia in Barrett"s esophagus using endoscopic optical coherence tomography

    Xin Qi;Michael V. Sivak;David L. Wilson;Andrew M. Rollins

  • 3D Cryo-Imaging: A Very High-Resolution View of the Whole Mouse

    Debashish Roy;Grant J. Steyer;Madhusudhana Gargesha;Meredith E. Stone

  • Three dimensional structure of human fibrinogen under aqueous conditions visualized by atomic force microscopy.

    Roger E. Marchant;Matthew D. Barb;John R. Shainoff;Steven J. Eppell

  • Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images

    Zhao Wang;Hiroyuki Kyono;Hiram G. Bezerra;Hui Wang

Frequent Co-Authors

Andrew M. Rollins
Andrew M. Rollins Case Western Reserve University
Baowei Fei
Baowei Fei The University of Texas at Dallas
Jeffrey L. Duerk
Jeffrey L. Duerk University of Miami
Olivier Salvado
Olivier Salvado Commonwealth Scientific and Industrial Research Organisation
David H. Johnson
David H. Johnson The University of Texas Southwestern Medical Center
Robert J. Brunner
Robert J. Brunner University of Illinois at Urbana-Champaign
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Naira Hovakimyan
Naira Hovakimyan University of Illinois at Urbana-Champaign
Yunchao Wei
Yunchao Wei Beijing Jiaotong University

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