World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9165
World Ranking
5652
National Ranking
2574

Hayder Radha 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 Hayder Radha 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: 330 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Hayder Radha 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 Hayder Radha 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Hayder Radha is affiliated with Michigan State University in the United States. Their research spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, and Instrumentation.

The topics covered in their work include Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, COVID-19 diagnosis using AI, Advanced Optical Sensing Technologies, Image Processing Techniques and Applications, Robotics and Sensor-Based Localization, and Multimodal Machine Learning Applications.

The scientist's recent publications reflect their engagement with advanced detection and domain adaptation methods. Notable papers include:

  • Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Integrated Multiscale Domain Adaptive YOLO, 2023, IEEE Transactions on Image Processing
  • CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection, 2020, arXiv (Cornell University)
  • Integrated Generative-Model Domain-Adaptation for Object Detection under Challenging Conditions, 2022, 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
  • A Point Target Model for Interferometric Radar Angular Velocity Estimation, 2021, IEEE Transactions on Microwave Theory and Techniques

Frequently collaborating co-authors include Su Pang, Mazin Hnewa, Xiaohu Lu, Daniel Morris, and Ce Zhou. These partnerships have contributed to research published across different venues.

Hayder Radha's work has appeared in multiple publication venues, including arXiv (Cornell University), where they have published nine papers, the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE Transactions on Image Processing, the 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring), and IEEE Transactions on Robotics.

Best Publications

  • The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP

    H.M. Radha;M. van der Schaar;Yingwei Chen

  • CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

    Su Pang;Daniel Morris;Hayder Radha

  • Deep learning algorithm for autonomous driving using GoogLeNet

    Mohammed Al-Qizwini;Iman Barjasteh;Hothaifa Al-Qassab;Hayder Radha

  • Wavelet-based contourlet transform and its application to image coding

    R. Eslami;H. Radha

  • SISTEMA Y METODO DE CODIFICACION DE VIDEO AJUSTABLE A ESCALA.

    Chen Yingwei;Radha Hayder;Van Der Schaar Mihaela

  • Translation-Invariant Contourlet Transform and Its Application to Image Denoising

    R. Eslami;H. Radha

  • The contourlet transform for image denoising using cycle spinning

    R. Eslami;H. Radha

  • A hybrid temporal-SNR fine-granular scalability for Internet video

    M. van der Schaar;H. Radha

  • Seamless splicing of MPEG-2 multimedia data streams

    Hayder Radha;Mahesh Balakrishnan;Kavitha Parthasarathy

  • Decoder buffer for streaming video receiver and method of operation

    Hayder Radha;Kavitha Parthasarathy

  • Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques

    Mazin Hnewa;Hayder Radha

  • Scalable Internet video using MPEG-4

    Hayder Radha;Yingwei Chen;Kavitha Parthasarathy;Robert Cohen

  • Unequal packet loss resilience for fine-granular-scalability video

    M. van der Schaar;H. Radha

  • Measurement study of low-bitrate internet video streaming

    Dmitri Loguinov;Hayder Radha

  • Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video

    M. van der Schaar;H. Radha

  • Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection

    Unknown

  • Performance analysis and modeling of errors and losses over 802.11b LANs for high-bit-rate real-time multimedia

    Syed A. Khayam;Shirish Subhash Karande;Hayder Radha;Dmitri Loguinov

  • Identifying Influential Nodes in Online Social Networks Using Principal Component Centrality

    Muhammad U. Ilyas;Hayder Radha

  • A New Family of Nonredundant Transforms Using Hybrid Wavelets and Directional Filter Banks

    R. Eslami;H. Radha

  • Image compression using binary space partitioning trees

    H. Radha;M. Vetterli;R. Leonardi

  • System and method for encoding and decoding enhancement layer data using base layer quantization data

    Mihaela van der Schaar;Yingwei Chen;Hayder Radha

  • System and method for controlling the delay budget of a decoder buffer in a streaming data receiver

    Hayder Radha;Dmitri Loguinov

  • Object Detection under Rainy Conditions for Autonomous Vehicles.

    Mazin Hnewa;Hayder Radha

Frequent Co-Authors

Dmitri Loguinov
Dmitri Loguinov Texas A&M University
Mihaela van der Schaar
Mihaela van der Schaar University of Cambridge
Alex X. Liu
Alex X. Liu Michigan State University
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Mahesh Balakrishnan
Mahesh Balakrishnan Indian Institute of Technology Delhi
J. Justin McCormick
J. Justin McCormick Michigan State University
Jiebo Luo
Jiebo Luo University of Rochester
Hang Liu
Hang Liu Wuhan University of Technology
Cliff Lampe
Cliff Lampe University of Michigan–Ann Arbor
Kiran Challapali
Kiran Challapali Philips (Finland)

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