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D-Index & Metrics

Computer Science

D-Index
63
Citations
14770
World Ranking
2768
National Ranking
1374

Ayman El-Baz 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 Ayman El-Baz 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: 507 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Ayman El-Baz 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 Ayman El-Baz 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: 63 D-Index — 81st percentile

81% 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 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2019 - Fellow, National Academy of Inventors

Overview

Ayman El-Baz is affiliated with the University of Louisville in the United States. Their research primarily focuses on medicine, with a strong emphasis on subfields such as radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, ophthalmology, biomedical engineering, and cognitive neuroscience.

The scientist's main topics of work include radiomics and machine learning in medical imaging, retinal imaging and analysis, AI applications in cancer detection, retinal diseases and treatments, COVID-19 diagnosis using AI, autism spectrum disorder research, and combustion and flame dynamics.

Frequent co-authors collaborating with Ayman El-Baz include Mohammed Ghazal, Ali Mahmoud, Fahmi Khalifa, Norah Saleh Alghamdi, and Ahmed Shalaby.

Key venues where their research is frequently published are IEEE Access, Sensors, Scientific Reports, Bioengineering, and Cancers.

Recent papers authored or co-authored by Ayman El-Baz include:

  • "A convolutional neural network for the screening and staging of diabetic retinopathy" (2020, PLoS ONE)
  • "Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging" (2021, Insights into Imaging)
  • "Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography" (2020, American Journal of Ophthalmology)
  • "A Deep-Learning Framework for the Detection of Oil Spills from SAR Data" (2021, Sensors)
  • "A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images" (2020, Computerized Medical Imaging and Graphics)

Ayman El-Baz has been recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2019 and as a Fellow of the National Academy of Inventors in 2019 as well.

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

  • Alzheimer's disease diagnostics by adaptation of 3D convolutional network

    Ehsan Hosseini-Asl;Robert Keynton;Ayman El-Baz

  • MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans

    Adriënne M. Mendrik;Koen L. Vincken;Hugo J. Kuijf;Marcel Breeuwer

  • Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

    Md. Maniruzzaman;Md. Maniruzzaman;Md. Jahanur Rahman;Md. Al-MehediHasan;Harman S. Suri

  • Comparative approaches for classification of diabetes mellitus data

    Md. Maniruzzaman;Nishith Kumar;Md. Menhazul Abedin;Md. Shaykhul Islam

  • Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network

    Ehsan Hosseini-Asl;Robert Keynto;Ayman El-Baz

  • 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

  • Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1

    Ayman S. El-Baz

  • Medical Image Segmentation: A Brief Survey

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

  • Precise Segmentation of 3-D Magnetic Resonance Angiography

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

  • Graph cuts framework for kidney segmentation with prior shape constraints

    Asem M. Ali;Aly A. Farag;Ayman S. El-Baz

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

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

  • A unified framework for MAP estimation in remote sensing image segmentation

    A.A. Farag;R.M. Mohamed;A. El-Baz

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

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

  • rTMS neuromodulation improves electrocortical functional measures of information processing and behavioral responses in autism

    Estate M. Sokhadze;Ayman S. El-Baz;Lonnie L. Sears;Ioan Opris

  • Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

    Md. Maniruzzaman;Md. Maniruzzaman;Md. Jahanur Rahman;Benojir Ahammed;Md. Menhazul Abedin

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

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

  • A convolutional neural network for the screening and staging of diabetic retinopathy

    Mohamed Shaban;Zeliha Ogur;Ali Mahmoud;Andrew Switala

  • Accurate Automatic Analysis of Cardiac Cine Images

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

  • A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.

    Ruba Alkadi;Fatma Taher;Ayman El-Baz;Naoufel Werghi

  • Lung imaging and computer-aided diagnosis

    Ayman El-Baz;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

Georgy Gimel'farb
Georgy Gimel'farb University of Auckland
Fahmi Khalifa
Fahmi Khalifa Morgan State University
Manuel F. Casanova
Manuel F. Casanova University of South Carolina
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Aly A. Farag
Aly A. Farag University of Louisville
Xiaoyi Jiang
Xiaoyi Jiang University of Münster
Ahmed M. Soliman
Ahmed M. Soliman Cairo University
S. Mani Sarathy
S. Mani Sarathy King Abdullah University of Science and Technology
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Fabian Mauss
Fabian Mauss Brandenburg University of Technology

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