World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5631
World Ranking
10306
National Ranking
4322

Peter L. Venetianer 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 L. Venetianer 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Peter L. Venetianer 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 L. Venetianer 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Software

His scientific interests lie mostly in Computer vision, Artificial intelligence, Video tracking, ALARM and Set. Borrowing concepts from Geography, Peter L. Venetianer weaves in ideas under Computer vision. He works on Artificial intelligence which deals in particular with Segmentation.

His Video tracking study frequently links to related topics such as Video processing. His Video processing research integrates issues from Motion, Line segment, Computer graphics and Motion compensation. His work focuses on many connections between DUAL and other disciplines, such as Motion detection, that overlap with his field of interest in Pattern recognition, Reliability and Machine vision.

His most cited work include:

  • Video surveillance system employing video primitives (573 citations)
  • Video segmentation using statistical pixel modeling (278 citations)
  • Video surveillance system (233 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Video tracking, Geography and Video processing. His biological study spans a wide range of topics, including Real-time computing and Pattern recognition. Many of his studies on Computer vision apply to Computer graphics as well.

His work on Block-matching algorithm as part of general Video tracking study is frequently linked to Facial motion capture and System use, therefore connecting diverse disciplines of science. His Video processing study combines topics from a wide range of disciplines, such as Uncompressed video and Encoding. His studies examine the connections between Tracking and genetics, as well as such issues in Video based, with regards to Computer hardware.

He most often published in these fields:

  • Artificial intelligence (72.06%)
  • Computer vision (67.65%)
  • Video tracking (30.88%)

What were the highlights of his more recent work (between 2012-2016)?

  • Computer vision (67.65%)
  • Artificial intelligence (72.06%)
  • Video content analysis (13.24%)

In recent papers he was focusing on the following fields of study:

Peter L. Venetianer spends much of his time researching Computer vision, Artificial intelligence, Video content analysis, Geography and Object. The Computer vision study combines topics in areas such as Key and SIMPLE. Peter L. Venetianer has researched Video content analysis in several fields, including Computer graphics and Video image.

His Object detection research includes themes of Real-time computing and Data mining. His Tracking system research is multidisciplinary, incorporating elements of Camera auto-calibration, Camera resectioning and Range. As part of his studies on Video tracking, Peter L. Venetianer often connects relevant areas like Shot.

Between 2012 and 2016, his most popular works were:

  • System and method for monitoring a retail environment using video content analysis with depth sensing (115 citations)
  • System and method for building automation using video content analysis with depth sensing (89 citations)
  • System and method for video content analysis using depth sensing (61 citations)

Best Publications

  • Video surveillance system employing video primitives

    Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Matthew F. Frazier

  • System and method for building automation using video content analysis with depth sensing

    Gary W. Myers;Zhong Zhang;Peter L. Venetianer

  • Video analytic rule detection system and method

    Steve Titus;Zhong Zhang;John I. W. Clark;Alan J. Lipton

  • Video segmentation using statistical pixel modeling

    Alan J. Lipton;Niels Haering;Zeeshan Rasheed;Omar Javed

  • Video imagery-based sensor

    Alan J. Lipton;Bruce Thompson;John I. W. Clark;Peter L. Venetianer

  • Video scene background maintenance using change detection and classification

    Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Niels Haering

  • Video surveillance system

    Peter Venetianer;Alan Lipton;Andrew Chosak;Matthew Frazier

  • The evolution of video surveillance: an overview

    Niels Haering;Péter L. Venetianer;Alan Lipton

  • Target detection and tracking from video streams

    Zhong Zhang;Yongtong Hu;Alan J. Lipton;Peter L. Venetianer

  • Active camera video-based surveillance systems and methods

    Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton

  • Multi-state target tracking

    Zhong Zhang;Haiying Liu;Alan J. Lipton;Zeeshan Rasheed

  • Video analytics for retail business process monitoring

    Alan J. Lipton;Peter L. Venetianer;Niels Haering;Paul C. Brewer

  • Target detection and tracking from overhead video streams

    Alan J. Lipton;Peter L. Venetianer;Zhong Zhang;Haiying Liu

  • Analogic CNN algorithms for some image compression and restoration tasks

    P.L. Venetianer;F. Werblin;T. Roska;L.O. Chua

  • Video background replacement system

    Raul J. Fernandez;Alan J. Lipton;Peter L. Venetianer;Zhong Zhang

  • Master-slave automated video-based surveillance system

    Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton

  • Wide-area site-based video surveillance system

    Zhong Zhang;Li Yu;Haiying Liu;Paul C. Brewer

  • Detection of change in posture in video

    Peter L. Venetianer;Andrew J. Chosak;Niels Haering;Alan J. Lipton

  • Human detection and tracking for security applications

    Zhong Zhang;Alan J. Lipton;Paul C. Brewer;Andrew J. Chosak

  • Video surveillance: past, present, and now the future [DSP Forum]

    Fatih Porikli;Francois Bremond;Shiloh L. Dockstader;James Ferryman

  • Video surveillance system with omni-directional camera

    Weihong Yin;Li Yu;Zhong Zhang;Andrew J. Chosak

  • Image compression by cellular neural networks

    Peter L. Venetianer;Tamas Roska

Frequent Co-Authors

Alan J. Lipton
Alan J. Lipton Carnegie Mellon University
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley

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