World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
91
Citations
33993
World Ranking
581
National Ranking
309

Ming C. Lin 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 Ming C. Lin 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: 399 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Ming C. Lin 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 Ming C. Lin 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: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to real-time physics-based interaction and simulation for virtual environments, robotics and haptics
  • 2011 - ACM Fellow For contributions to geometric modeling and computer graphics.

Overview

Ming C. Lin is affiliated with the University of Maryland, College Park in the United States. Their research spans the fields of computer science and engineering, with notable contributions to subfields such as computer vision and pattern recognition, artificial intelligence, signal processing, computer graphics and computer-aided design, and control and systems engineering.

The scientist's work covers a range of topics including human pose and action recognition, advanced vision and imaging, computer graphics and visualization techniques, autonomous vehicle technology and safety, speech and audio processing, advanced image and video retrieval techniques, and model reduction and neural networks.

Frequent co-authors collaborating with Ming C. Lin include Dinesh Manocha, Junbang Liang, Yi-Ling Qiao, Sanghyun Son, and Laura Zheng.

Some of the recent papers authored or co-authored by Ming C. Lin are:

  • Scalable Differentiable Physics for Learning and Control, 2020, arXiv (Cornell University)
  • A hybrid approach for simulating human motion in constrained environments, 2021, Computer Animation and Virtual Worlds
  • Differentiable Fluids with Solid Coupling for Learning and Control, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Differentiable Hybrid Traffic Simulation, 2022, ACM Transactions on Graphics
  • Machine learning for digital try-on: Challenges and progress, 2020, Computational Visual Media

Ming C. Lin's frequent publication venues include arXiv (Cornell University), Computational Visual Media, UNC Libraries, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In addition to journal and conference papers, they have contributed to book publications such as Algorithmic Foundations of Robotics XIV, published by Springer International Publishing in 2021.

The scientist has been recognized as an IEEE Fellow in 2012 for contributions to real-time physics-based interaction and simulation for virtual environments, robotics, and haptics. They were also awarded the ACM Fellow status in 2011 for contributions to geometric modeling and computer graphics.

Best Publications

  • OBBTree: a hierarchical structure for rapid interference detection

    S. Gottschalk;M. C. Lin;D. Manocha

  • Reciprocal n-Body Collision Avoidance

    Jur van den Berg;Stephen J. Guy;Ming C. Lin;Dinesh Manocha

  • Reciprocal Velocity Obstacles for real-time multi-agent navigation

    J. van den Berg;Ming Lin;D. Manocha

  • I-COLLIDE: an interactive and exact collision detection system for large-scale environments

    Jonathan D. Cohen;Ming C. Lin;Dinesh Manocha;Madhav Ponamgi

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;John Keyser;Ming Lin;Dinesh Manocha

  • Fast computation of database operations using graphics processors

    Naga K. Govindaraju;Brandon Lloyd;Wei Wang;Ming Lin

  • A fast algorithm for incremental distance calculation

    M.C. Lin;J.F. Canny

  • CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

    Naga K. Govindaraju;Stephane Redon;Ming C. Lin;Dinesh Manocha

  • Aggregate dynamics for dense crowd simulation

    Rahul Narain;Abhinav Golas;Sean Curtis;Ming C. Lin

  • Example-guided physically based modal sound synthesis

    Zhimin Ren;Hengchin Yeh;Ming C. Lin

  • Efficient collision detection for animation and robotics

    Ming Chieh Lin;John F. Canny

  • Accurate and Fast Proximity Queries Between Polyhedra Using Convex Surface Decomposition

    Stephen A. Ehmann;Ming C. Lin

  • ClearPath: highly parallel collision avoidance for multi-agent simulation

    Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • DAB: interactive haptic painting with 3D virtual brushes

    Bill Baxter;Vincent Scheib;Ming C. Lin;Dinesh Manocha

  • Fast distance queries with rectangular swept sphere volumes

    E. Larsen;S. Gottschalk;M.C. Lin;D. Manocha

  • A Survey on Hair Modeling: Styling, Simulation, and Rendering

    K. Ward;F. Bertails;Tae-Yong Kim;S.R. Marschner

  • PLEdestrians: a least-effort approach to crowd simulation

    Stephen J. Guy;Jatin Chhugani;Sean Curtis;Pradeep Dubey

  • Real-time navigation of independent agents using adaptive roadmaps

    Avneesh Sud;Russell Gayle;Erik Andersen;Stephen Guy

  • V-COLLIDE: accelerated collision detection for VRML

    Thomas C. Hudson;Ming C. Lin;Jonathan Cohen;Stefan Gottschalk

  • applied-computational-geometry-towards-geometric-engineering

    Ming C. Lin;Dinesh Manocha

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;Tim Culver;John Keyser;Ming Lin

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Jur van den Berg
Jur van den Berg University of Utah
Shi-Min Hu
Shi-Min Hu Tsinghua University
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Markus Gross
Markus Gross ETH Zurich
Roberta L. Klatzky
Roberta L. Klatzky Carnegie Mellon University
John Canny
John Canny University of California, Berkeley
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA

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