World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11195
World Ranking
5070
National Ranking
2353

Amy R. Reibman 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 Amy R. Reibman 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Amy R. Reibman 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 Amy R. Reibman 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: 52 D-Index — 65th percentile

65% 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

  • 2005 - IEEE Fellow For contributions to the transport of video over networks.

Overview

Amy R. Reibman is a researcher affiliated with Purdue University West Lafayette in the United States. Their primary field of study is Computer Science, with a significant focus on Computer Vision and Pattern Recognition. Their work spans multiple related subfields, including Small Animals, Animal Science and Zoology, Artificial Intelligence, and Genetics.

Their research covers various topics, prominently featuring Video Surveillance and Tracking Methods, Animal Behavior and Welfare Studies, and Face Recognition and Analysis. Other main topics in their research portfolio include Effects of Environmental Stressors on Livestock, Food Supply Chain Traceability, Smart Agriculture and AI, and Water Quality Monitoring Technologies.

Amy R. Reibman has published in a range of venues, with frequent publications appearing in:

  • Proceedings of the IEEE
  • Electronic Imaging
  • arXiv (Cornell University)
  • Computers and Electronics in Agriculture
  • Smart Agricultural Technology

Some of their recent papers include the following:

  • "Video analytic system for detecting cow structure", 2020, Computers and Electronics in Agriculture
  • "FaR-GAN for One-Shot Face Reenactment", 2020, arXiv (Cornell University)
  • "Multi-View Hand-Hygiene Recognition for Food Safety", 2020, Journal of Imaging
  • "Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment", 2021, Journal of Imaging
  • "Feature extraction using multi-view video analytics for dairy cattle body weight estimation", 2023, Smart Agricultural Technology

Frequent co-authors collaborating with Amy R. Reibman include:

  • Christian Timmerer
  • Jacquelyn P. Boerman
  • Shengtai Ju
  • He Liu
  • Dennis R. Buckmaster

In 2005, Amy R. Reibman was named an IEEE Fellow for contributions to the transport of video over networks.

Best Publications

  • Recovery of lost or erroneously received motion vectors

    W.M. Lam;A.R. Reibman;B. Liu

  • Multiple Description Coding for Video Delivery

    Yao Wang;A.R. Reibman;Shunan Lin

  • Multiple description coding using pairwise correlating transforms

    Yao Wang;M.T. Orchard;V. Vaishampayan;A.R. Reibman

  • Personalized multimedia services using a mobile service platform

    Yih-Farn Chen;Huale Huang;R. Jana;S. John

  • VBR video: tradeoffs and potentials

    T.V. Lakshman;A. Ortega;A.R. Reibman

  • An adaptive congestion control scheme for real-time packet video transport

    Hemant Kanakia;Partho P. Mishra;Amy Reibman

  • Optimal Detection and Performance of Distributed Sensor Systems

    Amy R. Reibman;L. W. Nolte

  • Multiple description image coding for noisy channels by pairing transform coefficients

    Yao Wang;M.T. Orchard;A.R. Reibman;A.R. Reibman;A.R. Reibman

  • Constraints on variable bit-rate video for ATM networks

    A.R. Reibman;B.G. Haskell

  • Packet loss resilience of MPEG-2 scalable video coding algorithms

    R. Aravind;M.R. Civanlar;A.R. Reibman

  • Timing recovery for variable bit-rate video on asynchronous transfer mode (atm) networks

    Barin Geoffry Haskell;Amy Ruth Reibman

  • Buffer control for variable bit-rate channel

    Brian Geoffry Haskell;Amy Ruth Reibman

  • Joint selection of source and channel rate for VBR video transmission under ATM policing constraints

    Chi-Yuan Hsu;A. Ortega;A.R. Reibman

  • Multiple-description video coding using motion-compensated temporal prediction

    A.R. Reibman;H. Jafarkhani;Yao Wang;M.T. Orchard

  • Quality monitoring of video over a packet network

    A.R. Reibman;V.A. Vaishampayan;Y. Sermadevi

  • Traffic descriptors for VBR video teleconferencing over ATM networks

    Amy R. Reibman;Arthur W. Berger

  • Modeling packet-loss visibility in MPEG-2 video

    S. Kanumuri;P.C. Cosman;A.R. Reibman;V.A. Vaishampayan

  • Methods for performance evaluation of VBR video traffic models

    David M. Lucantoni;Marcel F. Neuts;Amy R. Reibman

  • Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

    M.T. Orchard;Y. Wang;V. Vaishampayan;A.R. Reibman

  • An adaptive congestion control scheme for real time packet video transport

    Hemant Kanakia;Partho P. Mishra;Amy R. Reibman

Frequent Co-Authors

Yao Wang
Yao Wang New York University
Hamid Jafarkhani
Hamid Jafarkhani University of California, Irvine
Pamela C. Cosman
Pamela C. Cosman University of California, San Diego
David Crawford Gibbon
David Crawford Gibbon AT&T (United States)
Bernard S. Renger
Bernard S. Renger AT&T (United States)
Zhu Liu
Zhu Liu Amazon (United States)
Behzad Shahraray
Behzad Shahraray AT&T (United States)
Vinay A. Vaishampayan
Vinay A. Vaishampayan City University of New York
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Michael T. Orchard
Michael T. Orchard Rice University

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