World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
19943
World Ranking
10954
National Ranking
130

Jongwoo Lim 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 Jongwoo Lim 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Jongwoo Lim 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 Jongwoo Lim 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Jongwoo Lim is affiliated with Seoul National University in South Korea and has contributed extensively to research in computer science and engineering. Their work spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, aerospace engineering, surgery, and electrical and electronic engineering.

Their research focuses on topics such as advanced vision and imaging, robotics and sensor-based localization, video surveillance and tracking methods, domain adaptation and few-shot learning, advanced neural network applications, advanced image processing techniques, and advanced image and video retrieval techniques.

Recent notable publications by Jongwoo Lim include:

  • "UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking", 2020, Computer Vision and Image Understanding
  • "End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "ROVINS: Robust Omnidirectional Visual Inertial Navigation System", 2020, IEEE Robotics and Automation Letters
  • "Progressive Feature Matching: Incremental Graph Construction and Optimization", 2020, IEEE Transactions on Image Processing
  • "Vertical Metal-Oxide Electrochemical Memory for High-Density Synaptic Array Based High-Performance Neuromorphic Computing", 2022, Advanced Electronic Materials

Jongwoo Lim frequently publishes in venues such as arXiv (Cornell University), Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters, and IEEE Transactions on Image Processing.

The scholar has collaborated regularly with several co-authors. Frequent collaborators include:

  • Jongbin Ryu
  • Changhee Won
  • Jaehoon Oh
  • Bo-Kyeong Kang
  • Ming-Hsuan Yang

Jongwoo Lim's work covers 27 publications in computer science and 14 in engineering. The main concentration is on advancing understanding and methods in computer vision and related artificial intelligence applications, integrating techniques across several disciplines.

Best Publications

  • Online Object Tracking: A Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Incremental Learning for Robust Visual Tracking

    David A. Ross;Jongwoo Lim;Ruei-Sung Lin;Ming-Hsuan Yang

  • Object Tracking Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Hedged Deep Tracking

    Yuankai Qi;Shengping Zhang;Lei Qin;Hongxun Yao

  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking

    Longyin Wen;Dawei Du;Zhaowei Cai;Zhen Lei

  • Clustering appearances of objects under varying illumination conditions

    J. Ho;Ming-Husang Yang;Jongwoo Lim;Kuang-Chih Lee

  • Incremental Learning for Visual Tracking

    Jongwoo Lim;David A. Ross;Ruei-sung Lin;Ming-Hsuan Yang

  • Beyond pairwise clustering

    S. Agarwal;Jongwoo Lim;L. Zelnik-Manor;P. Perona

  • Bayesian Multi-object Tracking Using Motion Context from Multiple Objects

    Ju Hong Yoon;Ming-Hsuan Yang;Jongwoo Lim;Kuk-Jin Yoon

  • Adaptive probabilistic visual tracking with incremental subspace update

    Ming-Hsuan Yang;Jongwoo Lim;David Ross;Ruei-Sung Lin

  • Building a 3-D Line-Based Map Using Stereo SLAM

    Guoxuan Zhang;Jin Han Lee;Jongwoo Lim;Il Hong Suh

  • Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video

    B. Laxton;Jongwoo Lim;D. Kriegman

  • Adaptive Discriminative Generative Model and Its Applications

    Ruei-sung Lin;David A. Ross;Jongwoo Lim;Ming-Hsuan Yang

  • Hedging Deep Features for Visual Tracking

    Yuankai Qi;Shengping Zhang;Lei Qin;Qingming Huang

  • Passive photometric stereo from motion

    Jongwoo Lim;J. Ho;Ming-Hsuan Yang;D. Kriegman

  • Online environment mapping

    Jongwoo Lim;Jan-Michael Frahm;Marc Pollefeys

  • A direct method for modeling non-rigid motion with thin plate spline

    Jongwoo Lim;Ming-Hsuan Yang

  • Real-time 6-DOF monocular visual SLAM in a large-scale environment

    Hyon Lim;Jongwoo Lim;H. Jin Kim

  • Outdoor Place Recognition in Urban Environments Using Straight Lines

    Jin Han Lee;Sehyung Lee;Guoxuan Zhang;Jongwoo Lim

  • Moving in stereo: Efficient structure and motion using lines

    Manmohan Chandraker;Jongwoo Lim;David Kriegman

  • UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

    Longyin Wen;Dawei Du;Zhaowei Cai;Zhen Lei

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
David J. Kriegman
David J. Kriegman University of California, San Diego
Marc Pollefeys
Marc Pollefeys ETH Zurich
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
H. Jin Kim
H. Jin Kim Seoul National University
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance

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