World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5520
World Ranking
8966
National Ranking
11

M. Usman Akram 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 M. Usman Akram 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

M. Usman Akram 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 M. Usman Akram 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.

Overview

M. Usman Akram is affiliated with the National University of Sciences and Technology in Pakistan. Their research primarily spans the fields of Medicine and Computer Science, with an emphasis on subfields including Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence, Computer Vision and Pattern Recognition, and Biomedical Engineering.

The scientist's work concentrates on several main topics, notably Retinal Imaging and Analysis, Retinal Diseases and Treatments, EEG and Brain-Computer Interfaces, COVID-19 diagnosis using AI, Glaucoma and retinal disorders, Medical Imaging and Analysis, and Retinal and Optic Conditions.

Recent publications by M. Usman Akram include the following papers:

  • Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks, 2023, Computers in Biology and Medicine
  • CNN and LSTM-Based Emotion Charting Using Physiological Signals, 2020, Sensors
  • Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models, 2022, Sensors
  • Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images, 2023, Sustainability
  • RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology, 2020, IEEE Journal of Biomedical and Health Informatics

M. Usman Akram has collaborated frequently with several coauthors, including Taimur Hassan, Sajid Gul Khawaja, Norah Saleh Alghamdi, Arslan Shaukat, and Naoufel Werghi.

They have published extensively in venues such as IEEE Access, Data in Brief, Sensors, Computers in Biology and Medicine, and Biomedical Signal Processing and Control.

Best Publications

  • Identification and classification of microaneurysms for early detection of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Shoab A. Khan

  • Detection and classification of retinal lesions for grading of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Anam Tariq;Shoab A. Khan

  • Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy

    M. Usman Akram;Shoab Ahmad Khan

  • Automated detection of exudates and macula for grading of diabetic macular edema

    M. Usman Akram;Anam Tariq;Shoab A. Khan;M. Younus Javed

  • Computer aided system for brain tumor detection and segmentation

    M. Usman Akram;Anam Usman

  • Automated detection of glaucoma using structural and non structural features.

    Anum A. Salam;Tehmina Khalil;M. Usman Akram;Amina Jameel

  • Deep Convolution Neural Network for Big Data Medical Image Classification

    Rehan Ashraf;Muhammad Asif Habib;Muhammad Akram;Muhammad Ahsan Latif

  • Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy

    M. Usman Akram;Anam Tariq;M. Almas Anjum;M. Younus Javed

  • Detection of neovascularization in retinal images using multivariate m-Mediods based classifier

    M. Usman Akram;Shehzad Khalid;Anam Tariq;M. Younus Javed

  • Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images

    Bilal Hassan;Gulistan Raja;Taimur Hassan;M Usman Akram

  • Automated detection and grading of diabetic maculopathy in digital retinal images.

    Anam Tariq;M. Usman Akram;Arslan Shaukat;Shoab Ahmad Khan

  • Lung nodule detection in CT images using neuro fuzzy classifier

    Anam Tariq;M. Usman Akram;M. Younus Javed

  • Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.

    Adeel M. Syed;Taimur Hassan;M. Usman Akram;Samra Naz

  • Retinal Image Preprocessing: Background and Noise Segmentation

    Ibaa Jamal;M. Usman Akram;Anam Tariq

  • Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques

    M. Usman Akram;Anam Tariq;Shehzad Khalid;M. Younus Javed

  • An automated system for colored retinal image background and noise segmentation

    Anam Tariq;M. Usman Akram

  • Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images

    Tehmina Khalil;M. Usman Akram;Hina Raja;Amina Jameel

  • Automated segmentation of subretinal layers for the detection of macular edema.

    Taimur Hassan;M. Usman Akram;Bilal Hassan;Adeel M. Syed

  • Automated techniques for blood vessels segmentation through fundus retinal images: A review.

    Shahzad Akbar;Muhammad Sharif;Muhammad Usman Akram;Tanzila Saba

  • Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images.

    Samina Khalid;M. Usman Akram;Taimur Hassan;Ammara Nasim

  • Blood Vessel Enhancement and Segmentation Using Wavelet Transform

    M. Usman Akram;Ali Atzaz;S. Farrukh Aneeque;Shoab A. Khan

Frequent Co-Authors

Shehzad Khalid
Shehzad Khalid Bahria University
Awais Ahmad
Awais Ahmad University of Milan
Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University

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