World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7579
World Ranking
8806
National Ranking
346

Robert Rohling publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Robert Rohling sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Robert Rohling D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Robert Rohling sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to ultrasound for medical diagnosis and intervention

Overview

Robert Rohling is affiliated with the University of British Columbia in Canada and has an extensive publication record primarily in medicine and engineering. Their research spans multiple subfields including biomedical engineering, radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, cardiology and cardiovascular medicine, as well as mechanics of materials.

The scientist's main research topics cover:

  • Ultrasound Imaging and Elastography
  • Photoacoustic and Ultrasonic Imaging
  • Ultrasound and Hyperthermia Applications
  • Renal and Vascular Pathologies
  • Ultrasonics and Acoustic Wave Propagation
  • MRI in cancer diagnosis
  • Medical Imaging and Analysis

Rohling's frequent coauthors include:

  • Septimiu E. Salcudean (26 joint publications)
  • Shahed K. Mohammed (12 joint publications)
  • Purang Abolmaesumi (11 joint publications)
  • Victoria A. Lessoway (11 joint publications)
  • Qi Zeng (10 joint publications)

They have contributed notably to several publication venues, with multiple publications in each, such as:

  • arXiv (Cornell University) - 12 publications
  • International Journal of Computer Assisted Radiology and Surgery - 4 publications
  • IEEE Transactions on Medical Imaging - 4 publications
  • IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control - 4 publications
  • 2022 IEEE International Ultrasonics Symposium (IUS) - 4 publications

Among recent papers authored or coauthored by Rohling are:

  • Enhancement of needle visualization and localization in ultrasound, 2020, International Journal of Computer Assisted Radiology and Surgery
  • Kidney Ultrasound for Nephrologists: A Review, 2022, Kidney Medicine
  • Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN, 2020, International Journal of Computer Assisted Radiology and Surgery
  • Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the Liver, 2020, IEEE Transactions on Medical Imaging
  • Automated estimation of echocardiogram image quality in hospitalized patients, 2020, International Journal of Cardiac Imaging

Rohling has been recognized with the IEEE Fellow award in 2019 for contributions to ultrasound for medical diagnosis and intervention.

Best Publications

  • Rapid calibration for 3-D freehand ultrasound

    R.W. Prager;R.N. Rohling;A.H. Gee;L. Berman

  • Hand-held steerable needle device

    S. Okazawa;R. Ebrahimi;J. Chuang;S.E. Salcudean

  • A comparison of freehand three-dimensional ultrasound reconstruction techniques.

    Robert Rohling;Andrew H. Gee;Laurence H. Berman

  • Hand-Held Steerable Needle Device

    Richelle Ebrahimi;Stephen H. Okazawa;Robert Rohling;Septimiu E. Salcudean

  • Three-dimensional spatial compounding of ultrasound images.

    Robert Rohling;Andrew H. Gee;Laurence H. Berman

  • Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model

    Abtin Rasoulian;Robert Rohling;Purang Abolmaesumi

  • Automatic registration of 3-D ultrasound images

    R.N. Rohling;A.H. Gee;L. Berman

  • Bone surface localization in ultrasound using image phase-based features.

    Ilker Hacihaliloglu;Rafeef Abugharbieh;Antony J. Hodgson;Robert N. Rohling

  • Correction to “Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View”

    Amir H. Abdi;Christina Luong;Teresa Tsang;Gregory Allan

  • Methods for segmenting curved needles in ultrasound images.

    Stephen H. Okazawa;Richelle Ebrahimi;Jason Chuang;Robert N. Rohling

  • Comparison of relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery.

    Robert Rohling;Patrice Munger;John M. Hollerbach;Terry Peters

  • Single-operator real-time ultrasound-guidance to aim and insert a lumbar epidural needle

    Denis Tran;Allaudin A. Kamani;Elias Al-Attas;Victoria A. Lessoway

  • Enhancement of needle visibility in ultrasound-guided percutaneous procedures.

    Stephanie Cheung;Robert Rohling

  • Ultrasound RF Time Series for Classification of Breast Lesions

    Nishant Uniyal;Hani Eskandari;Purang Abolmaesumi;Samira Sojoudi

  • SLIDE: automatic spine level identification system using a deep convolutional neural network.

    Jorden Hetherington;Victoria A. Lessoway;Vit Gunka;Purang Abolmaesumi

  • Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach

    Amin Suzani;Alexander Seitel;Yuan Liu;Sidney S. Fels

  • Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders

    Mehran Pesteie;Purang Abolmaesumi;Robert N. Rohling

  • Tissue Tracking and Registration for Image-Guided Surgery

    Michael C. Yip;David G. Lowe;Septimiu E. Salcudean;Robert N. Rohling

  • Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss

    Fatemeh Taheri Dezaki;Zhibin Liao;Christina Luong;Hany Girgis

  • Group-Wise Registration of Point Sets for Statistical Shape Models

    Abtin Rasoulian;Robert Rohling;Purang Abolmaesumi

  • Fabrication and testing of polymer-based capacitive micromachined ultrasound transducers for medical imaging

    Carlos D. Gerardo;Edmond Cretu;Robert Rohling

  • Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features

    Ilker Hacihaliloglu;Rafeef Abugharbieh;Antony Hodgson;Robert Rohling

  • Comparison of calibration methods for spatial tracking of a 3-D ultrasound probe

    Tony C. Poon;Robert N. Rohling

Frequent Co-Authors

Purang Abolmaesumi
Purang Abolmaesumi University of British Columbia
Septimiu E. Salcudean
Septimiu E. Salcudean University of British Columbia
Andrew H. Gee
Andrew H. Gee University of Cambridge
John M. Hollerbach
John M. Hollerbach University of Utah
Lutz Lampe
Lutz Lampe University of British Columbia
Peter D. Lawrence
Peter D. Lawrence University of British Columbia
Gabor Fichtinger
Gabor Fichtinger Queen's University
Michael C. Yip
Michael C. Yip University of California, San Diego
Richard W. Prager
Richard W. Prager University of Cambridge
Sidney Fels
Sidney Fels University of British Columbia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science often leads to opportunities in diverse fields, many of which now offer flexible online study options. Students who want to broaden their skill set might consider programs like the criminal justice degree price for those interested in the intersection of technology and law enforcement.

If you have an affinity for numbers and data, pursuing online accounting degree programs could be a great fit. These programs often cover essentials such as financial analysis, management accounting, and the latest digital tools in business.

For those aiming to specialize further, an online data science masters is a strong choice. Data science professionals are in high demand, and a master’s degree can open doors to advanced roles in analytics, machine learning, and artificial intelligence.

Career paths continue to diversify. For example, technology’s influence on the built environment makes the best online construction management degree increasingly relevant for computer science graduates interested in project planning, design, and innovative building solutions.

Best Scientists Citing Robert Rohling

Trending Scientists

Recently Published Articles