World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8506
World Ranking
6217
National Ranking
823

Susanto Rahardja 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 Susanto Rahardja 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: 438 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Susanto Rahardja 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 Susanto Rahardja 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: 48 D-Index — 58th percentile

58% 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

  • 2011 - IEEE Fellow For leadership in digital audio and signal processing

Overview

Susanto Rahardja is affiliated with Northwestern Polytechnical University in China. Their research spans the fields of Computer Science and Engineering, with notable contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Molecular Biology.

Rahardja's work covers a range of topics including advanced image fusion techniques, anomaly detection techniques and applications, speech and audio processing, music and audio processing, remote-sensing image classification, speech recognition and synthesis, and image enhancement techniques.

Some recent publications by Rahardja include:

  • "Mean-shift outlier detection and filtering," 2021, Pattern Recognition
  • "Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G," 2021, IEEE Communications Standards Magazine
  • "Classification of Interbeat Interval Time-Series Using Attention Entropy," 2020, IEEE Transactions on Affective Computing
  • "Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods," 2023, IEEE Signal Processing Magazine

Frequent co-authors collaborating with Rahardja include Mou Wang, Jiawei Yang, Jie Chen, Sylwan Rahardja, and Junqi Chen.

The researcher has published regularly in venues such as arXiv (Cornell University), IEEE Transactions on Geoscience and Remote Sensing, IEEE Access, IEEE Signal Processing Letters, and IEEE Transactions on Circuits and Systems I Regular Papers.

In recognition of their work, Susanto Rahardja was named an IEEE Fellow in 2011 for leadership in digital audio and signal processing.

Best Publications

  • Fast mode decision algorithm for intraprediction in H.264/AVC video coding

    Feng Pan;Xiao Lin;S. Rahardja;K.P. Lim

  • Fast intermode decision in H.264/AVC video coding

    D. Wu;F. Pan;K.P. Lim;S. Wu

  • A locally adaptive algorithm for measuring blocking artifacts in images and videos

    Feng Pan;Xiao Lin;Susanto Rahardja;Weisi Lin

  • Adaptive rate control for H.264

    Zhengguo Li;Wen Gao;Feng Pan;S. W. Ma

  • /spl beta/-order MMSE spectral amplitude estimation for speech enhancement

    Chang Huai You;Soo Ngee Koh;S. Rahardja

  • A Statistical Demand-Price Model With Its Application in Optimal Real-Time Price

    Rongshan Yu;Wenxian Yang;S. Rahardja

  • Detail-Enhanced Exposure Fusion

    Zheng Guo Li;Jing Hong Zheng;S. Rahardja

  • Mean-shift outlier detection and filtering

    Jiawei Yang;Jiawei Yang;Susanto Rahardja;Pasi Fränti

  • A locally-adaptive algorithm for measuring blocking artifacts in images and videos

    F. Pan;X. Lin;S. Rahardja;W. Lin

  • Outlier detection: how to threshold outlier scores?

    Jiawei Yang;Susanto Rahardja;Pasi Fränti

  • A GA paradigm for learning fuzzy rules

    M. H. Lim;S. Rahardja;B. H. Gwee

  • Adaptive rate control for H.264

    Z.G. Li;F. Pan;K.P. Lim;X. Lin

  • Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks

    Mou Wang;Min Zhao;Jie Chen;Susanto Rahardja

  • Method and apparatus for applying AVC intra-frame prediction to code digital vedio

    Da Wu Jun;Nan Feng Ge;Guo Li Zheng;Feng Pan

  • Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G

    Unknown

  • A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System

    Ishtiaq Rasool Khan;Susanto Rahardja;Muhammad Murtaza Khan;Muhammad Mobeen Movania

  • Rate control for videophone using local perceptual cues

    Xiaokang Yang;Weisi Lin;Zhongkang Lu;Xiao Lin

  • Indoor Sound Source Localization With Probabilistic Neural Network

    Yingxiang Sun;Jiajia Chen;Chau Yuen;Susanto Rahardja

  • Adaptive control system for noise cancellation

    Zhuliang Yu;Ming Zhang;Hui Lan;Susanto Rahardja

  • A directional field based fast intra mode decision algorithm for H.264 video coding

    F. Pan;X. Lin;S. Rahardja;K.P. Lim

  • Fast intra mode decision algorithm for H.264-AVC video coding

    F. Pan;L.S. Rahardja;K.P. Lim;L.D. Wu

  • A Split and Merge Based Ellipse Detector With Self-Correcting Capability

    A Y-S Chia;S Rahardja;D Rajan;M K Leung

  • Residual U-Net for Retinal Vessel Segmentation

    Di Li;Dhimas Arief Dharmawan;Boon Poh Ng;Susanto Rahardja

  • Ellipse Detection with Hough Transform in One Dimensional Parametric Space

    A.Y.S. Chia;M.K.H. Leung;How-Lung Eng;S. Rahardja

Frequent Co-Authors

Zhengguo Li
Zhengguo Li Institute for Infocomm Research
Shiqian Wu
Shiqian Wu University of Victoria
Weisi Lin
Weisi Lin Nanyang Technological University
Pasi Fränti
Pasi Fränti University of Eastern Finland
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Lap-Pui Chau
Lap-Pui Chau Hong Kong Polytechnic University
Jianfei Cai
Jianfei Cai Monash University
Zhu Liang Yu
Zhu Liang Yu South China University of Technology
Chau Yuen
Chau Yuen Nanyang Technological University

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