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Munchurl Kim

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 8002 7775 79 79 257 7559

Munchurl Kim publications per year

The chart shows the history of publications by Munchurl Kim between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Munchurl Kim published across 32 years, from 1994 to 2025, averaging 9.5 papers a year. Output peaked at 23 publications in 2019. 28 of the 304 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2019. 1994: 1 publication 1995: 1 publication 1996: 2 publications 1997: 1 publication 1998: 1 publication 1999: 1 publication 2000: 11 publications 2001: 3 publications 2002: 4 publications 2003: 4 publications 2004: 5 publications 2005: 11 publications 2006: 10 publications 2007: 15 publications 2008: 18 publications 2009: 10 publications 2010: 6 publications 2011: 14 publications 2012: 10 publications 2013: 13 publications 2014: 5 publications 2015: 12 publications 2016: 14 publications 2017: 9 publications 2018: 13 publications 2019: 23 publications 2020: 18 publications 2021: 16 publications 2022: 8 publications 2023: 17 publications 2024: 19 publications 2025: 9 publications
1994 2025

304 publications in total across all disciplines

View publications per year as a table
Munchurl Kim: publications per year, 1994 to 2025
Year Publications
1994 1
1995 1
1996 2
1997 1
1998 1
1999 1
2000 11
2001 3
2002 4
2003 4
2004 5
2005 11
2006 10
2007 15
2008 18
2009 10
2010 6
2011 14
2012 10
2013 13
2014 5
2015 12
2016 14
2017 9
2018 13
2019 23
2020 18
2021 16
2022 8
2023 17
2024 19
2025 9
Total 304
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 252–261 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377 257
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821 43
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Munchurl Kim Google Scholar page

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Best Scientists Citing Munchurl Kim

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Publications: 90

Sam Kwong

Sam Kwong

Lingnan University

Publications: 33

Chao Dong

Chao Dong

Shenzhen Institutes of Advanced Technology

Publications: 30

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 27

Xinbo Gao

Xinbo Gao

Xidian University

Publications: 26

Shiqi Wang

Shiqi Wang

City University of Hong Kong

Publications: 23

Siwei Ma

Siwei Ma

Peking University

Publications: 19

Shuhang Gu

Shuhang Gu

University of Electronic Science and Technology of China

Publications: 18

Wen Gao

Wen Gao

Peking University

Publications: 17

Jiaying Liu

Jiaying Liu

Peking University

Publications: 16

Wenhan Yang

Wenhan Yang

Peking University

Publications: 15

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 15

Wan-Chi Siu

Wan-Chi Siu

Hong Kong Polytechnic University

Publications: 15

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 15

Mai Xu

Mai Xu

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Publications: 14

Nam Ik Cho

Nam Ik Cho

Seoul National University

Publications: 14

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