World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
13274
World Ranking
3262
National Ranking
1583

Bogdan Georgescu 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 Bogdan Georgescu 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: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Bogdan Georgescu 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 Bogdan Georgescu 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Bogdan Georgescu is affiliated with Princeton University in the United States and has contributed extensively to the intersections of medicine and computer science, focusing particularly on medical imaging and artificial intelligence applications within healthcare.

Their recent publications cover significant topics in medical image analysis, lung cancer diagnosis, and COVID-19 diagnosis using AI. Noteworthy papers include:

  • The Liver Tumor Segmentation Benchmark (LiTS), 2022, Medical Image Analysis
  • Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT, 2020, Radiology Artificial Intelligence
  • Business Model Innovation Through the Use of Digital Technologies: Managing Risks and Creating Sustainability, 2020, Amfiteatru Economic
  • No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks, 2020, IEEE Transactions on Medical Imaging
  • Contrastive self-supervised learning from 100 million medical images with optional supervision, 2022, Journal of Medical Imaging

The primary areas of study for Bogdan Georgescu include Medicine, with a strong focus on Radiology, Nuclear Medicine and Imaging, complemented by Computer Science. Their work spans several subfields such as:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Pulmonary and Respiratory Medicine
  • Computer Vision and Pattern Recognition
  • Neurology

Their main research topics are diverse and specialized, including:

  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • Lung Cancer Diagnosis and Treatment
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Medical Imaging and Analysis
  • Anomaly Detection Techniques and Applications

Bogdan collaborates frequently with a core group of co-authors, reflecting interdisciplinary teamwork and consistent research partnerships. Frequent collaborators include:

  • Saša Grbić
  • Dorin Comaniciu
  • Florin C. Ghesu
  • Awais Mansoor
  • Thomas J. Re

The scientist has published repeatedly in several academic venues, underscoring a focused engagement with specific scholarly communities. The most common publication venues are:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Radiology Artificial Intelligence
  • Scientific Reports
  • Amfiteatru Economic

Best Publications

  • Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

    Yefeng Zheng;A. Barbu;B. Georgescu;M. Scheuering

  • Edge detection with embedded confidence

    P. Meer;B. Georgescu

  • Synergism in low level vision

    C.M. Christoudias;B. Georgescu;P. Meer

  • A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.

    Lucian Itu;Saikiran Rapaka;Tiziano Passerini;Bogdan Georgescu

  • Combo loss: Handling input and output imbalance in multi-organ segmentation

    Saeid Asgari Taghanaki;Saeid Asgari Taghanaki;Yefeng Zheng;S. Kevin Zhou;Bogdan Georgescu

  • Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

    Florin-Cristian Ghesu;Bogdan Georgescu;Yefeng Zheng;Sasa Grbic

  • Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

    G. Carneiro;B. Georgescu;S. Good;D. Comaniciu

  • Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE

    Razvan Ioan Ionasec;Ingmar Voigt;Bogdan Georgescu;Yang Wang

  • Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features

    Yefeng Zheng;A. Barbu;B. Georgescu;M. Scheuering

  • 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data

    Yefeng Zheng;David Liu;Bogdan Georgescu;Hien Nguyen

  • Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

    Dong Yang;Daguang Xu;S. Kevin Zhou;Bogdan Georgescu

  • Hierarchical, learning-based automatic liver segmentation

    Haibin Ling;S.K. Zhou;Yefeng Zheng;B. Georgescu

  • Complete valvular heart apparatus model from 4D cardiac CT

    Sasa Grbic;Sasa Grbic;Razvan Ioan Ionasec;Dime Vitanovski;Ingmar Voigt

  • Method and system for anatomical object detection using marginal space deep neural networks

    Bogdan Georgescu;Yefeng Zheng;Hien Nguyen;Vivek Kumar Singh

  • 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

    Lin Yang;B. Georgescu;Yefeng Zheng;P. Meer

  • Database-guided segmentation of anatomical structures with complex appearance

    B. Georgescu;X.S. Zhou;D. Comaniciu;A. Gupta

  • Automatic Liver Segmentation Using Adversarial Image-to-Image Network

    Dong Yang;Daguang Xu;Shaohua Kevin Zhou;Bogdan Georgescu

  • Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

    Sebastian Gündel;Sasa Grbic;Bogdan Georgescu;Siqi Liu

  • An Artificial Agent for Anatomical Landmark Detection in Medical Images

    Florin C. Ghesu;Bogdan Georgescu;Tommaso Mansi;Dominik Neumann

  • Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

    Florin C. Ghesu;Edward Krubasik;Bogdan Georgescu;Vivek Singh

  • Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

    Sebastian Guendel;Sasa Grbic;Bogdan Georgescu;Kevin Zhou

  • Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes

    Yefeng Zheng;Bogdan Georgescu;Adrian Barbu;Michael Scheuering

Frequent Co-Authors

Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Yefeng Zheng
Yefeng Zheng Tencent (China)
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Nassir Navab
Nassir Navab Technical University of Munich
Xiang Sean Zhou
Xiang Sean Zhou Siemens (Germany)
Peter Meer
Peter Meer Rutgers, The State University of New Jersey
S. Kevin Zhou
S. Kevin Zhou University of Science and Technology of China
Benjamin Meder
Benjamin Meder Heidelberg University
Hugo A. Katus
Hugo A. Katus Heidelberg University
Gustavo Carneiro
Gustavo Carneiro University of Surrey

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