World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6945
World Ranking
7656
National Ranking
72

Gunhee 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 Gunhee 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Gunhee 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 Gunhee Kim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Gunhee Kim is affiliated with Seoul National University in South Korea and has an extensive publication record primarily in the field of computer science. Their research contributions are concentrated in areas including artificial intelligence, computer vision and pattern recognition, and signal processing.

The scientist's work spans multiple subfields of computer science, with a particular focus on:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Civil and Structural Engineering
  • Cognitive Neuroscience

They have contributed to research on a variety of topics. Notable themes in their work include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Natural Language Processing Techniques
  • Video Analysis and Summarization
  • Music and Audio Processing
  • Advanced Image and Video Retrieval Techniques

Gunhee Kim's frequent publication venues reflect a focus on computer science and related disciplines, with the most publications appearing in the following conferences and journals:

  • arXiv (Cornell University), 49 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 4 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, 2 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 1 publication
  • Scientific Reports, 1 publication

The scientist has collaborated frequently with several coauthors, including:

  • Youngjae Yu (13 coauthored publications)
  • Heeseung Yun (12 coauthored publications)
  • Soochan Lee (6 coauthored publications)
  • Chris Dongjoo Kim (5 coauthored publications)
  • Jaehyeon Son (5 coauthored publications)

Some of Gunhee Kim's recent papers illustrate the range of their research interests and contributions:

  • "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning," 2020, arXiv (Cornell University), cited 94 times
  • "Dual Compositional Learning in Interactive Image Retrieval," 2021, Proceedings of the AAAI Conference on Artificial Intelligence, cited 75 times
  • "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, cited 56 times
  • "Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), cited 53 times
  • "Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea," 2020, Scientific Reports, cited 43 times

Best Publications

  • Enrichment of microbial community generating electricity using a fuel-cell-type electrochemical cell

    B. H. Kim;H. S. Park;H. S. Park;H. J. Kim;G. T. Kim

  • TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering

    Yunseok Jang;Yale Song;Youngjae Yu;Youngjin Kim

  • Distributed cosegmentation via submodular optimization on anisotropic diffusion

    Gunhee Kim;Eric P. Xing;Li Fei-Fei;Takeo Kanade

  • A Joint Sequence Fusion Model for Video Question Answering and Retrieval

    Youngjae Yu;Jongseok Kim;Gunhee Kim

  • Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection

    Junhyug Noh;Wonho Bae;Wonhee Lee;Jinhwan Seo

  • End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering

    Youngjae Yu;Hyungjin Ko;Jongwook Choi;Gunhee Kim

  • Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction

    Gunhee Kim;Leonid Sigal;Eric P. Xing

  • Attend to You: Personalized Image Captioning with Context Sequence Memory Networks

    Cesc Chunseong Park;Byeongchang Kim;Gunhee Kim

  • On multiple foreground cosegmentation

    Gunhee Kim;Eric P. Xing

  • Unsupervised modeling of object categories using link analysis techniques

    Gunhee Kim;C. Faloutsos;M. Hebert

  • Unsupervised Detection of Regions of Interest Using Iterative Link Analysis

    Gunhee Kim;Antonio Torralba

  • A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.

    Kyung Don Yoo;Junhyug Noh;Hajeong Lee;Dong Ki Kim

  • Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue

    Byeongchang Kim;Jaewoo Ahn;Gunhee Kim

  • A Hierarchical Latent Structure for Variational Conversation Modeling

    Yookoon Park;Jaemin Cho;Gunhee Kim

  • A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

    Soochan Lee;Junsoo Ha;Dongsu Zhang;Gunhee Kim

  • A Read-Write Memory Network for Movie Story Understanding

    Seil Na;Sangho Lee;Jisung Kim;Gunhee Kim

  • Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

    Byeongchang Kim;Hyunwoo Kim;Gunhee Kim

  • Expressing an image stream with a sequence of natural sentences

    Cesc Chunseong Park;Gunhee Kim

  • Rethinking Class Activation Mapping for Weakly Supervised Object Localization

    Wonho Bae;Junhyug Noh;Gunhee Kim

  • Big/little deep neural network for ultra low power inference

    Eunhyeok Park;Dongyoung Kim;Soobeom Kim;Yong-Deok Kim

  • Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors

    Junhyug Noh;Soochan Lee;Beomsu Kim;Gunhee Kim

  • AudioCaps: Generating Captions for Audios in The Wild.

    Chris Dongjoo Kim;Byeongchang Kim;Hyunmin Lee;Gunhee Kim

Frequent Co-Authors

Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Leonid Sigal
Leonid Sigal University of British Columbia
Thomas M. Breuel
Thomas M. Breuel Nvidia (United States)
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Martial Hebert
Martial Hebert Carnegie Mellon University
Gal Chechik
Gal Chechik Bar-Ilan University
Jan Kautz
Jan Kautz Nvidia (United States)
Hao Zhang
Hao Zhang Simon Fraser University
Li Fei-Fei
Li Fei-Fei Stanford University

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