World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
48957
World Ranking
2976
National Ranking
1457

Peter Meer 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 Peter Meer 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Peter Meer 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 Peter Meer 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: 61 D-Index — 79th percentile

79% 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 mean-shift and robust techniques in computer vision

Overview

Peter Meer is a researcher affiliated with Rutgers, The State University of New Jersey in the United States. Their work primarily concentrates in the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, and Geology.

The main topics covered in their research include:

  • Image and Object Detection Techniques
  • 3D Surveying and Cultural Heritage
  • Optical Measurement and Interference Techniques
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Neural Networks and Applications

Peter Meer has contributed to several recent papers, among which are:

  • "A New Approach to Robust Estimation of Parametric Structures" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Are Deep Neural Networks 'Robust'?" (2020), published in arXiv (Cornell University)

Their frequent co-authors include Yang Xiang and Jonathan Meer.

Peter Meer's publications have appeared in notable venues such as:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • arXiv (Cornell University)

Among their professional distinctions is the IEEE Fellow award received in 2012, granted for contributions to mean-shift and robust techniques in computer vision.

Best Publications

  • Mean shift: a robust approach toward feature space analysis

    D. Comaniciu;P. Meer

  • Kernel-based object tracking

    D. Comaniciu;V. Ramesh;P. Meer

  • Real-time tracking of non-rigid objects using mean shift

    D. Comaniciu;V. Ramesh;P. Meer

  • Region Covariance : A Fast Descriptor for Detection and Classification

    Oncel Tuzel;Fatih Porikli;Peter Meer

  • Mean shift analysis and applications

    D. Comaniciu;P. Meer

  • Pedestrian Detection via Classification on Riemannian Manifolds

    O. Tuzel;F. Porikli;P. Meer

  • Robust analysis of feature spaces: color image segmentation

    D. Comaniciu;P. Meer

  • Robust regression methods for computer vision: a review

    Peter Meer;Doron Mintz;Azriel Rosenfeld;Dong Yoon Kim

  • Covariance Tracking using Model Update Based on Lie Algebra

    F. Porikli;O. Tuzel;P. Meer

  • The variable bandwidth mean shift and data-driven scale selection

    D. Comaniciu;V. Ramesh;P. Meer

  • Human Detection via Classification on Riemannian Manifolds

    O. Tuzel;F. Porikli;P. Meer

  • Edge detection with embedded confidence

    P. Meer;B. Georgescu

  • Synergism in low level vision

    C.M. Christoudias;B. Georgescu;P. Meer

  • Robust clustering with applications in computer vision

    J.-M. Jolion;P. Meer;S. Bataouche

  • Collaborative diagnostic systems

    David J. Foran;Dorin Cominciu;Peter Meer

  • Robust and fast collaborative tracking with two stage sparse optimization

    Baiyang Liu;Lin Yang;Junzhou Huang;Peter Meer

  • Hierarchical image analysis using irregular tessellations

    A. Montanvert;P. Meer;A. Rosenfield

  • Distribution Free Decomposition of Multivariate Data

    Dorin Comaniciu;Peter Meer

  • Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint

    Yoram Leedan;Peter Meer

  • Nonlinear Mean Shift over Riemannian Manifolds

    Raghav Subbarao;Peter Meer

Frequent Co-Authors

Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Oncel Tuzel
Oncel Tuzel Apple (United States)
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Bogdan Georgescu
Bogdan Georgescu Princeton University
Lin Yang
Lin Yang University of Florida
Fatih Porikli
Fatih Porikli Australian National University
David E. Tyler
David E. Tyler Rutgers, The State University of New Jersey
Yefeng Zheng
Yefeng Zheng Tencent (China)
Visvanathan Ramesh
Visvanathan Ramesh Goethe University Frankfurt
Rae-Hong Park
Rae-Hong Park Sogang University

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