World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9080
World Ranking
6827
National Ranking
412

Kawal Rhode 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 Kawal Rhode 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Kawal Rhode 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 Kawal Rhode 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Kawal Rhode is affiliated with King's College London in the United Kingdom. Their research activity spans the intersection of medicine and engineering, with a significant focus on biomedical engineering and medical imaging techniques.

The scientist's recent publications reflect a broad engagement with topics in medical technology, surgical robotics, and imaging. These papers include:

  • The Medical Segmentation Decathlon, 2022, Nature Communications
  • A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning, 2023, IEEE Transactions on Instrumentation and Measurement
  • Robotics in neurointerventional surgery: a systematic review of the literature, 2021, Journal of NeuroInterventional Surgery
  • An eye tracking based virtual reality system for use inside magnetic resonance imaging systems, 2021, Scientific Reports
  • Robotic Intra-Operative Ultrasound: Virtual Environments and Parallel Systems, 2021, IEEE/CAA Journal of Automatica Sinica

The fields of study addressed by Kawal Rhode's work predominantly include Medicine and Engineering. Subfields of particular concentration are:

  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Cardiology and Cardiovascular Medicine
  • Computer Vision and Pattern Recognition

Research topics that emerge across these works encompass applications and developments in:

  • Soft Robotics and Applications
  • Surgical Simulation and Training
  • Advanced X-ray and CT Imaging
  • Cardiac Valve Diseases and Treatments
  • Anatomy and Medical Technology
  • Cardiac Imaging and Diagnostics
  • Robot Manipulation and Learning

Kawal Rhode frequently collaborates with other researchers, three of whom have coauthored multiple papers with them. These coauthors include:

  • R. James Housden
  • Shuangyi Wang
  • Carlo Saija
  • Antonia Pontiki
  • Ronak Rajani

Their work commonly appears in specialized publication venues such as:

  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Biomedical Engineering
  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • International Journal of Computer Assisted Radiology and Surgery

Best Publications

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • Native T1 mapping in differentiation of normal myocardium from diffuse disease in hypertrophic and dilated cardiomyopathy.

    Valentina O. Puntmann;Tobias Voigt;Zhong Chen;Manuel Mayr

  • Cardiac catheterisation guided by MRI in children and adults with congenital heart disease.

    Reza Razavi;Derek L. G. Hill;Stephen F. Keevil;Marc E. Miquel

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

    Maxime Sermesant;Radomir Chabiniok;Phani Pradeep Chinchapatnam;T. Mansi

  • A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

    Xiahai Zhuang;Kawal S Rhode;Reza S Razavi;David J Hawkes

  • Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

    Rashed Karim;R. James Housden;Mayuragoban Balasubramaniam;Zhong Chen

  • A system for real-time XMR guided cardiovascular intervention

    K.S. Rhode;M. Sermesant;D. Brogan;S. Hegde

  • Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

    Catalina Tobon-Gomez;Arjan J. Geers;Jochen Peters;Jurgen Weese

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Intensity-based 2-D - 3-D registration of cerebral angiograms

    J.H. Hipwell;G.P. Penney;R.A. McLaughlin;K. Rhode

  • STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART

    Oscar Camara;Mihaela Pop;Kawal Rhode;Maxime Sermesant

  • Registration and tracking to integrate X-ray and MR images in an XMR Facility

    K.S. Rhode;D.L.G. Hill;P.J. Edwards;J. Hipwell

  • Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking

    Gang Gao;Graeme Penney;YingLiang Ma;Nicolas Gogin

  • Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia

    Jatin Relan;Phani Pradeep Chinchapatnam;Maxime Sermesant;Kawal Rhode

  • Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

    Rashed Karim;Pranav Bhagirath;Piet Claus;R. James Housden

  • Tissue deformation and shape models in image-guided interventions: a discussion paper.

    David J. Hawkes;Dean C. Barratt;Jane M. Blackall;Carolyn S. K. Chan

  • Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

    Martin W. Krueger;Viktor Schmidt;Catalina Tobón;Frank M. Weber

  • CardiacNET: Segmentation of left atrium and proximal pulmonary veins from MRI using multi-view CNN

    Aliasghar Mortazi;Rashed Karim;Kawal S. Rhode;Jeremy Burt

  • 3-D Visualization of Acute RF Ablation Lesions Using MRI for the Simultaneous Determination of the Patterns of Necrosis and Edema

    Benjamin R Knowles;Dennis Caulfield;Michael Cooklin;C Aldo Rinaldi

  • Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

    Oscar Camara;Tommaso Mansi;Mihaela Pop;Kawal Rhode

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    Oscar Camara;Tommaso Mansi;Mihaela Pop;Kawal Rhode

Frequent Co-Authors

Reza Razavi
Reza Razavi King's College London
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Andrew P. King
Andrew P. King King's College London
Graeme P. Penney
Graeme P. Penney King's College London
Kaspar Althoefer
Kaspar Althoefer Queen Mary University of London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
David J. Hawkes
David J. Hawkes University College London

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

Studying Computer Science in the USA unlocks many flexible options for learners seeking quality education and diverse career choices. There are online colleges that accept 2.0 GPA, making it possible for students with lower GPAs to pursue their academic ambitions and start a new career in technology.

For those aiming to fast-track their education, a 1 year computer science degree online can be an ideal choice, helping students quickly gain skills in high demand by employers.

Computer Science graduates often find exciting interdisciplinary opportunities. For example, many transition into environmental fields by leveraging technology to solve real-world problems. To explore this crossover, you can learn about what can you do with an environmental studies degree and see how tech plays a role in sustainability and research.

Additionally, programs such as an environmental engineering degree online combine engineering, science, and computing to address modern environmental challenges. These flexible online options ensure that every student, regardless of background, can find an educational and career path that fits their interests and goals.

Best Scientists Citing Kawal Rhode

Trending Scientists

Recently Published Articles