World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
10698
World Ranking
3017
National Ranking
903

Gregory C. Sharp 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 Gregory C. Sharp 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: 328 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Gregory C. Sharp 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 Gregory C. Sharp 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: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

Gregory C. Sharp focuses on Artificial intelligence, Image registration, Computer vision, Nuclear medicine and Medical imaging. His research in Artificial intelligence intersects with topics in Linear combination and Pattern recognition. His work in Image registration tackles topics such as Iterative method which are related to areas like Odometry, Mobile robot and Feature extraction.

His work on Computer vision deals in particular with Image processing and Iterative reconstruction. His work deals with themes such as Dose fractionation, Radiology, Fiducial marker, Respiratory gating and Amplitude, which intersect with Nuclear medicine. The various areas that he examines in his Medical imaging study include Segmentation and Voxel.

His most cited work include:

  • ICP registration using invariant features (480 citations)
  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge (330 citations)
  • Prediction of respiratory tumour motion for real-time image-guided radiotherapy (320 citations)

What are the main themes of his work throughout his whole career to date?

Gregory C. Sharp mostly deals with Nuclear medicine, Artificial intelligence, Computer vision, Image registration and Medical imaging. The concepts of his Nuclear medicine study are interwoven with issues in Radiation therapy, Radiation treatment planning, Radiology and Proton therapy. His biological study spans a wide range of topics, including Position and Pattern recognition.

As part of his studies on Computer vision, Gregory C. Sharp often connects relevant subjects like Image-guided radiation therapy. Gregory C. Sharp combines subjects such as Metric, Histogram, Computed tomography, Ground truth and Algorithm with his study of Image registration. His studies deal with areas such as Image resolution, Cone beam computed tomography and Radiography as well as Medical imaging.

He most often published in these fields:

  • Nuclear medicine (40.99%)
  • Artificial intelligence (36.96%)
  • Computer vision (27.64%)

What were the highlights of his more recent work (between 2016-2021)?

  • Nuclear medicine (40.99%)
  • Proton therapy (18.32%)
  • Artificial intelligence (36.96%)

In recent papers he was focusing on the following fields of study:

Gregory C. Sharp mainly focuses on Nuclear medicine, Proton therapy, Artificial intelligence, Radiation therapy and Imaging phantom. His Nuclear medicine research incorporates elements of Image registration and Volume. Gregory C. Sharp works mostly in the field of Image registration, limiting it down to topics relating to Image resolution and, in certain cases, Function, as a part of the same area of interest.

His Artificial intelligence research is multidisciplinary, incorporating elements of External beam radiotherapy, Key, Computer vision and Pattern recognition. His Computer vision study combines topics in areas such as Image-guided radiation therapy and Vertebra. His Radiation therapy research entails a greater understanding of Radiology.

Between 2016 and 2021, his most popular works were:

  • Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015 (101 citations)
  • Why rankings of biomedical image analysis competitions should be interpreted with care (87 citations)
  • Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. (68 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Radiation therapy

His primary areas of investigation include Proton therapy, Nuclear medicine, Segmentation, Data science and Best practice. His Proton therapy research is multidisciplinary, incorporating perspectives in Scatter correction, Intensity, Tomography and Monte Carlo method. His research investigates the link between Tomography and topics such as Prostate that cross with problems in Radiation therapy.

His Nuclear medicine research is mostly focused on the topic Imaging phantom. Research on Artificial intelligence and Pattern recognition is a part of his Segmentation study. The Artificial intelligence study combines topics in areas such as Atlas and Atlas.

Best Publications

  • ICP registration using invariant features

    G.C. Sharp;S.W. Lee;D.K. Wehe

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Prediction of respiratory tumour motion for real-time image-guided radiotherapy

    Gregory C Sharp;Steve B Jiang;Shinichi Shimizu;Hiroki Shirato

  • Vision 20/20: Perspectives on automated image segmentation for radiotherapy

    Gregory Sharp;Karl D. Fritscher;Vladimir Pekar;Marta Peroni

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • The correlation between internal and external markers for abdominal tumors: implications for respiratory gating.

    David P. Gierga;Johanna Brewer;Gregory C. Sharp;Margrit Betke

  • The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

    S Rit;M Vila Oliva;M Vila Oliva;S Brousmiche;R Labarbe

  • Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015

    Patrik F. Raudaschl;Paolo Zaffino;Gregory C. Sharp;Maria Francesca Spadea

  • GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration.

    G C Sharp;N Kandasamy;H Singh;M Folkert

  • Speed and amplitude of lung tumor motion precisely detected in four-dimensional setup and in real-time tumor-tracking radiotherapy.

    Hiroki Shirato;Keishiro Suzuki;Gregory C. Sharp;Katsuhisa Fujita

  • Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.

    Jinzhong Yang;Harini Veeraraghavan;Samuel G. Armato;Keyvan Farahani

  • 4D-CT lung motion estimation with deformable registration: quantification of motion nonlinearity and hysteresis.

    Vlad Boldea;Gregory C. Sharp;Steve B. Jiang;David Sarrut

  • Integrated radiotherapy imaging system (IRIS): design considerations of tumour tracking with linac gantry-mounted diagnostic x-ray systems with flat-panel detectors

    Ross I Berbeco;Steve B Jiang;Gregory C Sharp;George T Y Chen

  • Evaluation of deformable registration of patient lung 4DCT with subanatomical region segmentations

    Ziji Wu;Eike Rietzel;Vlad Boldea;David Sarrut

  • On developing B-spline registration algorithms for multi-core processors

    J A Shackleford;N Kandasamy;G C Sharp

  • Multiview registration of 3D scenes by minimizing error between coordinate frames

    G.C. Sharp;S.W. Lee;D.K. Wehe

  • Interplay effects in proton scanning for lung: a 4D Monte Carlo study assessing the impact of tumor and beam delivery parameters

    S Dowdell;C Grassberger;C Grassberger;G C Sharp;H Paganetti

  • Estimation of the delivered patient dose in lung IMRT treatment based on deformable registration of 4D-CT data and Monte Carlo simulations

    Stella Flampouri;Stella Flampouri;Steve B Jiang;Greg C Sharp;John Wolfgang

  • Comparison of target registration errors for multiple image-guided techniques in accelerated partial breast irradiation.

    David P. Gierga;Marco Riboldi;Julie C. Turcotte;Greg C. Sharp

  • Proton dose calculation on scatter-corrected CBCT image: Feasibility study for adaptive proton therapy

    Yang Kyun Park;Gregory C. Sharp;Justin Phillips;Brian A. Winey

  • How much margin reduction is possible through gating or breath hold

    M Engelsman;G C Sharp;T Bortfeld;R Onimaru

  • Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.

    Karl D. Fritscher;Marta Peroni;Paolo Zaffino;Maria Francesca Spadea

Frequent Co-Authors

Steve B Jiang
Steve B Jiang The University of Texas Southwestern Medical Center
Thomas Bortfeld
Thomas Bortfeld Harvard University
Hiroki Shirato
Hiroki Shirato Hokkaido University
Anthony L. Zietman
Anthony L. Zietman Harvard University
Yi Wang
Yi Wang Cornell University
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Harini Veeraraghavan
Harini Veeraraghavan Memorial Sloan Kettering Cancer Center
Tal Arbel
Tal Arbel McGill University
Roberto Orecchia
Roberto Orecchia European Institute of Oncology

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