World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8314
World Ranking
8741
National Ranking
87

Euntai 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 Euntai 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: 331 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.

Euntai 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 Euntai 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Euntai Kim is a researcher affiliated with Yonsei University in South Korea, specializing in fields related to computer science and engineering. Their primary focus lies in computer vision and pattern recognition, with extensive work in aerospace engineering and artificial intelligence. The subfields of their research also include automotive engineering and medical imaging techniques such as radiology and nuclear medicine.

The scientist has extensively published in topical areas that cover robotics and sensor-based localization, advanced neural network applications, and image and video retrieval techniques. Additional research themes include multimodal machine learning, domain adaptation and few-shot learning, visual attention, saliency detection, as well as video surveillance and tracking methodologies.

Prominent recent publications by Euntai Kim include:

  • "Hierarchical Memory Matching Network for Video Object Segmentation" (2021) published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "WildNet: Learning Domain Generalized Semantic Segmentation from the Wild" (2022) from the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Correlation Verification for Image Retrieval" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition" (2020) published in IEEE Access
  • "Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer" (2021) in the Proceedings of the AAAI Conference on Artificial Intelligence

Euntai Kim has collaborated frequently with specific coauthors throughout their career. These include Hongje Seong, Suhyeon Lee, Junhyuk Hyun, Seongwon Lee, and Kyusik Cho. The most frequent collaborator is Hongje Seong, with whom they have worked on multiple projects.

Their publications are mainly concentrated in several venues known for computer science and engineering research, such as arXiv, IEEE Access, and the AAAI Conference on Artificial Intelligence. Other publication forums include Sensors and the 2022 CVPR conference.

Best Publications

  • New approaches to relaxed quadratic stability condition of fuzzy control systems

    Euntai Kim;Heejin Lee

  • A new approach to fuzzy modeling

    Euntai Kim;Minkee Park;Seunghwan Ji;Mignon Park

  • A fuzzy disturbance observer and its application to control

    Euntai Kim

  • A soft computing approach to localization in wireless sensor networks

    Sukhyun Yun;Jaehun Lee;Wooyong Chung;Euntai Kim

  • Output feedback tracking control of robot manipulators with model uncertainty via adaptive fuzzy logic

    Euntai Kim

  • A transformed input-domain approach to fuzzy modeling

    Euntai Kim;Minkee Park;Seungwoo Kim;Mignon Park

  • Kernelized Memory Network for Video Object Segmentation

    Hongje Seong;Junhyuk Hyun;Euntai Kim

  • Stability analysis and synthesis for an affine fuzzy control system via LMI and ILMI: a continuous case

    Euntai Kim;Seungwoo Kim

  • A New Evolutionary Particle Filter for the Prevention of Sample Impoverishment

    Seongkeun Park;Jae Pil Hwang;Euntai Kim;Hyung-Jin Kang

  • A simply identified Sugeno-type fuzzy model via double clustering

    Euntai Kim;Heejin Lee;Minkee Park;Mignon Park

  • Stability analysis and synthesis for an affine fuzzy system via LMI and ILMI: discrete case

    Euntai Kim;Dongyon Kim

  • Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

    Euntai Kim;Sungryul Lee

  • Robust tracking control of an electrically driven robot: adaptive fuzzy logic approach

    Jae Pil Hwang;Euntai Kim

  • A new sliding-mode control with fuzzy boundary layer

    Heejin Lee;Euntai Kim;Hyung-Jin Kang;Mingnon Park

  • WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

    Unknown

  • Hierarchical Memory Matching Network for Video Object Segmentation

    Hongje Seong;Seoung Wug Oh;Joon-Young Lee;Seongwon Lee

  • Fuzzy adaptive synchronization of uncertain chaotic systems

    Jae Hun Kim;Chang Woo Park;Euntai Kim;Mignon Park

  • Adaptive Synchronization of Uncertain Chaotic Systems Based on T–S Fuzzy Model

    Jae-Hun Kim;Chang-Ho Hyun;Euntai Kim;Mignon Park

  • A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function

    Jae Pil Hwang;Seongkeun Park;Euntai Kim

  • Limit-cycle prediction of a fuzzy control system based on describing function method

    Euntai Kim;Heejin Lee;Mignon Park

  • Multiple Object Tracking via Feature Pyramid Siamese Networks

    Sangyun Lee;Euntai Kim

Frequent Co-Authors

Sungchul Kang
Sungchul Kang Samsung Medical Center
Witold Pedrycz
Witold Pedrycz University of Alberta
Miguel Angel Sotelo
Miguel Angel Sotelo University of Alcalá
Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Andrew Beng Jin Teoh
Andrew Beng Jin Teoh Yonsei University
Jin Bae Park
Jin Bae Park Yonsei University
Kwanghoon Sohn
Kwanghoon Sohn Yonsei University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced

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