World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5510
World Ranking
10801
National Ranking
141

Ashraf A. Kassim 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 Ashraf A. Kassim 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Ashraf A. Kassim 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 Ashraf A. Kassim 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Ashraf A. Kassim is affiliated with the National University of Singapore in Singapore. Their research spans several fields, primarily focusing on Computer Science and Medicine.

Their main fields of study include:

  • Computer Science
  • Medicine

Within these fields, their work covers subfields such as:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Infectious Diseases
  • Epidemiology
  • Artificial Intelligence

The primary research topics addressed by Ashraf A. Kassim comprise:

  • COVID-19 diagnosis using AI
  • Tuberculosis Research and Epidemiology
  • Pneumonia and Respiratory Infections
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis

Their publication record includes contributions to various venues, notably:

  • arXiv (Cornell University)
  • Pattern Recognition Letters
  • Journal of Artificial Intelligence and Emerging Technologies

Recent papers authored or co-authored by Ashraf A. Kassim include:

  • "Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network", 2020, Pattern Recognition Letters
  • "FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation", 2021, arXiv (Cornell University)
  • "Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification", 2022, arXiv (Cornell University)
  • "Framework for Cerebral Palsy Detection in Automated Diagnosis System Using Deep Learning Algorithm", 2024, Journal of Artificial Intelligence and Emerging Technologies

Ashraf A. Kassim has collaborated frequently with the following researchers:

  • Kenan E. Ak
  • Joo-Hwee Lim
  • Jo Yew Tham
  • Shafa Balaram
  • Manh Cuong Nguyen

Best Publications

  • A novel unrestricted center-biased diamond search algorithm for block motion estimation

    Jo Yew Tham;S. Ranganath;M. Ranganath;A.A. Kassim

  • Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks

    Shengtao Xiao;Jiashi Feng;Junliang Xing;Hanjiang Lai

  • Temporal Action Localization with Pyramid of Score Distribution Features

    Jun Yuan;Bingbing Ni;Xiaokang Yang;Ashraf A. Kassim

  • Estimating Just-Noticeable Distortion for Video

    Yuting Jia;W. Lin;A.A. Kassim

  • Highly scalable wavelet-based video codec for very low bit-rate environment

    Jo Yew Tham;S. Ranganath;A.A. Kassim

  • Application of image and sound analysis techniques to monitor the condition of cutting tools

    M.A. Mannan;Ashraf A. Kassim;Ma Jing

  • Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples

    D. Zonoobi;A. A. Kassim;Y. V. Venkatesh

  • Recognizing human group activities with localized causalities

    Bingbing Ni;Shuicheng Yan;Ashraf Kassim

  • Learning Attribute Representations with Localization for Flexible Fashion Search

    Kenan E. Ak;Ashraf A. Kassim;Joo Hwee Lim;Jo Yew Tham

  • Segmentation of volumetric MRA images by using capillary active contour.

    Pingkun Yan;Ashraf A. Kassim

  • Embedded color image coding using SPIHT with partially linked spatial orientation trees

    A.A. Kassim;Wei Siong Lee

  • Active Visual Segmentation

    A. K. Mishra;Y. Aloimonos;Loong Fah Cheong;A. Kassim

  • A comparative study of efficient generalised Hough transform techniques

    Ashraf A. Kassim;T. Tan;K. H. Tan

  • Texture analysis methods for tool condition monitoring

    A. A. Kassim;M. A. Mannan;Zhu Mian

  • Design and implementation of parallel video encoding strategies using divisible load analysis

    Ping Li;B. Veeravalli;A.A. Kassim

  • Data-Driven Probability Hypothesis Density Filter for Visual Tracking

    Ya-Dong Wang;Jian-Kang Wu;A.A. Kassim;Weimin Huang

  • Attribute Manipulation Generative Adversarial Networks for Fashion Images

    Kenan Ak;Ashraf Kassim;Joo-Hwee Lim;Jo Yew Tham

  • Character recognition using statistical moments

    Y. C. Chim;Ashraf A. Kassim;Y. Ibrahim

  • Connectivity oriented fast Hough transform for tool wear monitoring

    Ashraf A. Kassim;Zhu Mian;M. A. Mannan

  • A pipelined hardware implementation of in-loop deblocking filter in H.264/AVC

    G. Khurana;A.A. Kassim;Tien Ping Chua;M.B. Mi

Frequent Co-Authors

Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Chew Lim Tan
Chew Lim Tan National University of Singapore
Shijian Lu
Shijian Lu Nanyang Technological University
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Stefan Winkler
Stefan Winkler National University of Singapore
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Jiashi Feng
Jiashi Feng ByteDance
Sim Heng Ong
Sim Heng Ong National University of Singapore

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