World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7802
World Ranking
8353
National Ranking
20

Georgy Gimel'farb 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 Georgy Gimel'farb 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: 338 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Georgy Gimel'farb 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 Georgy Gimel'farb 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Georgy Gimel'farb is affiliated with the University of Auckland in New Zealand. Their research spans multiple domains within medicine and computer science, addressing several specialized topics and subfields.

The main fields of study Georgy contributes to include:

  • Medicine
  • Computer Science

The scientist's research subfields focus on:

  • Computer Vision and Pattern Recognition
  • Pulmonary and Respiratory Medicine
  • Radiology, Nuclear Medicine and Imaging
  • Oncology
  • Surgery

Research topics covered in their work encompass:

  • Medical Image Segmentation Techniques
  • Cerebrovascular and Carotid Artery Diseases
  • Retinal Imaging and Analysis
  • Pancreatic and Hepatic Oncology Research
  • Pancreatitis Pathology and Treatment
  • Childhood Cancer Survivors' Quality of Life
  • Advanced Vision and Imaging

Georgy has published research in the following venues:

  • IEEE Access
  • Lymphology

The scientist has collaborated frequently with several co-authors, including:

  • Fatma Taher
  • Ahmed Soliman
  • Heba Kandil
  • Ali Mahmoud
  • Ahmed Shalaby

Selected recent publications include:

  • Accurate Segmentation of Cerebrovasculature From TOF-MRA Images Using Appearance Descriptors, 2020, IEEE Access
  • THERAPEUTIC THORACIC DUCT DRAINAGE: A SYSTEMATIC REVIEW OF THE EASTERN EUROPEAN EXPERIENCE AND FUTURE POTENTIAL, 2022, Lymphology

Best Publications

  • Models and methods for analyzing DCE-MRI: A review

    Fahmi Khalifa;Ahmed Soliman;Ayman El-Baz;Mohamed Abou El-Ghar

  • Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

    Ayman El-Baz;Garth M. Beache;Georgy L. Gimel'farb;Kenji Suzuki

  • Precise segmentation of multimodal images

    A.A. Farag;A.S. El-Baz;G. Gimel'farb

  • Alzheimer's disease diagnostics by a deeply supervised adaptable 3D convolutional network

    Ehsan Hosseini-Asl;Mohammed Ghazal;Ali Mahmoud;Ali Aslantas

  • Medical Image Segmentation: A Brief Survey

    Ahmed Elnakib;Georgy Gimel’farb;Jasjit S. Suri;Ayman El-Baz

  • Texture modeling by multiple pairwise pixel interactions

    G.L. Gimel'farb

  • Precise Segmentation of 3-D Magnetic Resonance Angiography

    Ayman El-Baz;A. Elnakib;F. Khalifa;Mohamed Abou El-Ghar

  • A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.

    Ahmed ElTanboly;Ahmed ElTanboly;Marwa Ismail;Ahmed Shalaby;Andy Switala

  • 3D shape analysis for early diagnosis of malignant lung nodules

    Ayman El-Baz;Matthew Nitzken;Fahmi Khalifa;Ahmed Elnakib

  • On retrieving textured images from an image database

    Georgy L. Gimel'Farb;Anil K. Jain

  • Geometric Feature Extraction by a Multimarked Point Process

    F Lafarge;Georgy Gimel'farb;X Descombes

  • Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling

    Ahmed Soliman;Fahmi Khalifa;Ahmed Elnakib;Mohamed Abou El-Ghar

  • Accurate Automatic Analysis of Cardiac Cine Images

    F. Khalifa;G. M. Beache;G. Gimelrfarb;G. A. Giridharan

  • EM Based Approximation of Empirical Distributions with Linear Combinations of Discrete Gaussians

    A. El-Baz;G. Gimel'farb

  • Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection

    Fahmi Khalifa;Garth M. Beache;Mohamed Abou El-Ghar;Tarek El-Diasty

  • Probabilistic regularisation and symmetry in binocular dynamic programming stereo

    Georgy Gimel'farb

  • 3d kidney segmentation from CT images using a level set approach guided by a novel stochastic speed function

    Fahmi Khalifa;Ahmed Elnakib;Garth M. Beache;Georgy Gimel'farb

  • Non-invasive image-based approach for early detection of acute renal rejection

    Fahmi Khalifa;Ayman El-Baz;Georgy Gimel'farb;Mohammed Abu El-Ghar

  • Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans.

    Ayman El-Baz;Ahmed Elnakib;Mohamed Abou El-Ghar;Georgy L. Gimel'farb

  • Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer

    A. El-Baz;G. Gimel'farb;R. Falk;M. Abo El-Ghar

  • Stochastic Modeling for Medical Image Analysis

    Ayman El-Baz;Georgy Gimel’farb;Jasjit S. Suri

  • Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

    Ehsan Hosseini-Asl;Georgy Gimel'farb;Ayman El-Baz

Frequent Co-Authors

Ayman El-Baz
Ayman El-Baz University of Louisville
Fahmi Khalifa
Fahmi Khalifa Morgan State University
Aly A. Farag
Aly A. Farag University of Louisville
Manuel F. Casanova
Manuel F. Casanova University of South Carolina
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Reinhard Klette
Reinhard Klette Auckland University of Technology
Jani Mäntyjärvi
Jani Mäntyjärvi VTT Technical Research Centre of Finland
Kenji Suzuki
Kenji Suzuki Tokyo Institute of Technology
Xavier Descombes
Xavier Descombes French Institute for Research in Computer Science and Automation - INRIA
Jorge Flores
Jorge Flores Program for Appropriate Technology in Health

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