World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10907
World Ranking
4836
National Ranking
2252

Ross Cutler 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 Ross Cutler 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Ross Cutler 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 Ross Cutler 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Ross Cutler is affiliated with Microsoft in the United States and has contributed significantly to research in the fields of Computer Science and Engineering. Their work primarily focuses on Signal Processing and Artificial Intelligence, with notable engagement in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, and Biomedical Engineering.

Their research topics cover a diverse range of specialized areas including:

  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Advanced Adaptive Filtering Techniques
  • Acoustic Wave Phenomena Research
  • Music and Audio Processing
  • Image and Video Quality Assessment
  • Hearing Loss and Rehabilitation

Ross Cutler has published extensively in prestigious venues, often contributing to conference proceedings and journals recognized in the signal processing and acoustic research communities. Frequent venues for their publications include:

  • arXiv (Cornell University)
  • IEEE Open Journal of Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the ACM on Human-Computer Interaction
  • Interspeech 2022

Selected recent publications by Ross Cutler include:

  • "ICASSP 2022 Acoustic Echo Cancellation Challenge," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Their work is closely associated with frequent collaboration alongside notable coauthors such as Vishak Gopal, Sebastian Braun, Robert Aichner, Ando Saabas, and Babak Naderi. These collaborations highlight a significant network contributing to research in speech enhancement and noise suppression technologies.

Best Publications

  • Robust real-time periodic motion detection, analysis, and applications

    R. Cutler;L.S. Davis

  • High-quality linear interpolation for demosaicing of Bayer-patterned color images

    H.S. Malvar;Li-wei He;R. Cutler

  • system and method for distributed meetings

    Ross Cutler;Yong Rui;Anoop Gupta

  • Distributed meetings: a meeting capture and broadcasting system

    Ross Cutler;Yong Rui;Anoop Gupta;JJ Cadiz

  • Stride and cadence as a biometric in automatic person identification and verification

    C. BenAbdelkader;R. Cutler;L. Davis

  • View-based interpretation of real-time optical flow for gesture recognition

    R. Cutler;M. Turk

  • EigenGait: Motion-Based Recognition of People Using Image Self-Similarity

    Chiraz BenAbdelkader;Ross Cutler;Harsh Nanda;Larry S. Davis

  • Motion-based recognition of people in EigenGait space

    C. BenAbdelkader;R. Cutler;L. Davis

  • Icassp 2022 Deep Noise Suppression Challenge

    Unknown

  • Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors

    Unknown

  • The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results.

    Chandan K. A. Reddy;Vishak Gopal;Ross Cutler;Ebrahim Beyrami

  • Look who's talking: speaker detection using video and audio correlation

    R. Cutler;L. Davis

  • View-based detection and analysis of periodic motion

    R. Cutler;L. Davis

  • Backpack: detection of people carrying objects using silhouettes

    Ismail Haritaoglu;Ross Cutler;David Harwood;Larry S. Davis

  • Gait recognition using image self-similarity

    Chiraz BenAbdelkader;Ross G. Cutler;Larry S. Davis

  • System and method for whiteboard and audio capture

    Zhengyou Zhang;Ross Cutler;Zicheng Liu;Anoop Gupta

  • Person identification using automatic height and stride estimation

    C. BenAbdelkader;R. Cutler;L. Davis

  • INTERSPEECH 2021 Deep Noise Suppression Challenge

    Chandan K. A. Reddy;Harishchandra Dubey;Kazuhito Koishida;Arun Asokan Nair

  • A Scalable Noisy Speech Dataset and Online Subjective Test Framework.

    Chandan K. A. Reddy;Ebrahim Beyrami;Jamie Pool;Ross Cutler

  • High-quality gradient-corrected linear interpolation for demosaicing of color images

    Henrique S. Malvar;Li-wei He;Ross Cutler

  • View-invariant Estimation of Height and Stride for Gait Recognition

    Chiraz BenAbdelkader;Ross Cutler;Larry S. Davis

  • Motion-based recognition of people using image self-similarity

    C. Benadbelkader;Ross Cutler;Larry Davis

Frequent Co-Authors

Larry S. Davis
Larry S. Davis University of Maryland, College Park
Yong Rui
Yong Rui Lenovo (China)
Cha Zhang
Cha Zhang Microsoft (United States)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Paul A. Viola
Paul A. Viola Microsoft (United States)
Zicheng Liu
Zicheng Liu Microsoft (United States)
Ivan Tashev
Ivan Tashev Microsoft (United States)
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Henrique S. Malvar
Henrique S. Malvar Microsoft (United States)

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