World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7559
World Ranking
8002
National Ranking
79

Munchurl Kim 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 Munchurl Kim 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Munchurl Kim 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 Munchurl Kim 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Munchurl Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has made significant contributions mainly in the fields of computer science and engineering. Their research emphasizes computer vision and pattern recognition, with additional focus on media technology, aerospace engineering, signal processing, and artificial intelligence.

The scientist's work covers a range of topics related to advanced image processing, vision, and imaging. These include advanced image processing techniques, advanced vision and imaging, image processing techniques and applications, image enhancement techniques, image and signal denoising methods, advanced image fusion techniques, and optical measurement and interference techniques.

Munchurl Kim has authored numerous papers that reflect these interests. Some recent publications include:

  • JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • A Novel Just-Noticeable-Difference-Based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions (2020, IEEE Transactions on Circuits and Systems for Video Technology)
  • Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes (2020, arXiv (Cornell University))
  • UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images (2020, IEEE Access)
  • SPAM-Net: A CNN-Based SAR Target Recognition Network With Pose Angle Marginalization Learning (2020, IEEE Transactions on Circuits and Systems for Video Technology)

The frequent publication venues where this scientist's work appears prominently include:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators of Munchurl Kim include:

  • Jihyong Oh
  • Juan Luis Gonzalez Bello
  • Jeonghyeok Do
  • Jaehyup Lee
  • Hyun-Ho Kim

The researcher has contributed to a substantial volume of academic publications, totaling over 176 works across computer science and engineering domains. Their work is characterized by a focus on improving image quality, fusion, and processing methodologies, often employing neural networks and machine learning models. This highlights a technical proficiency in both theoretical and applied aspects of imaging and pattern recognition systems.

Best Publications

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Fast CU Splitting and Pruning for Suboptimal CU Partitioning in HEVC Intra Coding

    Seunghyun Cho;Munchurl Kim

  • A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information

    Munchurl Kim;Jae Gark Choi;Daehee Kim;Hyung Lee

  • MPEG-7 Homogeneous Texture Descriptor

    Yong Man Ro;Munchurl Kim;Ho Kyung Kang;B.S. Manjunath

  • CNN-based in-loop filtering for coding efficiency improvement

    Woon-Sung Park;Munchurl Kim

  • PIRM challenge on perceptual image enhancement on smartphones: Report

    Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

  • A Novel Fast CU Encoding Scheme Based on Spatiotemporal Encoding Parameters for HEVC Inter Coding

    Sangsoo Ahn;Bumshik Lee;Munchurl Kim

  • A Deep Convolutional Neural Network with Selection Units for Super-Resolution

    Jae-Seok Choi;Munchurl Kim

  • A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception

    Sung-Ho Bae;Munchurl Kim

  • Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

    Soo Ye Kim;Jihyong Oh;Munchurl Kim

  • A Frame-Level Rate Control Scheme Based on Texture and Nontexture Rate Models for High Efficiency Video Coding

    Bumshik Lee;Munchurl Kim;Truong Q. Nguyen

  • Assessments of Subjective Video Quality on HEVC-Encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services

    Sung-Ho Bae;Jaeil Kim;Munchurl Kim;Sukhee Cho

  • A Real-Time Convolutional Neural Network for Super-Resolution on FPGA With Applications to 4K UHD 60 fps Video Services

    Yongwoo Kim;Jae-Seok Choi;Munchurl Kim

  • An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels

    Jaeil Kim;Sung-Ho Bae;Munchurl Kim

  • Moving object segmentation in video sequences by user interaction and automatic object tracking

    Munchurl Kim;Jun Geun Jeon;Jinsuk Kwak;Myoung Ho Lee

  • Apparatus and method for transmitting meta data synchronized to multimedia contents

    Sang-Woo Ahn;Jin-Soo Choi;Jin-Woong Kim;Mun-Churl Kim

  • KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment

    Soo Ye Kim;Hyeonjun Sim;Munchurl Kim

  • NTIRE 2020 challenge on nonhomogeneous dehazing

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • Visual content adaptation according to user perception characteristics

    J. Nam;Yong Man Ro;Y. Huh;M. Kim

  • A Novel Generalized DCT-Based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images

    Sung-Ho Bae;Munchurl Kim

  • An Automatic Recommendation Scheme of TV Program Contents for (IP)TV Personalization

    Eunhui Kim;Shinjee Pyo;Eunkyung Park;Munchurl Kim

  • A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency

    Sung-Ho Bae;M. Kim

Frequent Co-Authors

Yong Man Ro
Yong Man Ro Korea Advanced Institute of Science and Technology
Radu Timofte
Radu Timofte University of Wurzburg
Chao Dong
Chao Dong Shenzhen Institutes of Advanced Technology
Vishal Monga
Vishal Monga Pennsylvania State University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Yanyun Qu
Yanyun Qu Xiamen University
Pengfei Zhu
Pengfei Zhu Tianjin University
Shuhang Gu
Shuhang Gu University of Electronic Science and Technology of China

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