World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
66356
World Ranking
5989
National Ranking
2695

Michael Jones 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 Michael Jones 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: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Michael Jones 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 Michael Jones 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Michael Jones is affiliated with Mitsubishi Electric (United States) and has contributed extensively to research within the field of computer science. Their work primarily focuses on various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Human-Computer Interaction, and Computer Networks and Communications.

Their publication record reflects a sustained engagement with several key topics such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Innovative Human-Technology Interaction, Anomaly Detection Techniques and Applications, Multimodal Machine Learning Applications, Cloud Computing and Resource Management, and Creativity in Education and Neuroscience.

Michael Jones has coauthored research with several frequent collaborators including Suhas Lohit, Vijay Gadepally, Jeremy Kepner, Kuan-Chuan Peng, and Peter Michaleas.

The scientist's recent papers illustrate a range of research interests and publication venues:

  • "LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood" (2020), published in arXiv (Cornell University)
  • "From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference" (2023), published in arXiv (Cornell University)
  • "Perceptual metric learning for video anomaly detection" (2021), published in Machine Vision and Applications
  • "A Green(er) World for A.I." (2022), published in 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • "State of Black men in nursing: An oral history of the challenges and the benefits of five Black male nurse leaders" (2024), published in Nursing Outlook

The distribution of their publications shows a strong presence in arXiv with sixteen publications, along with contributions to Frontiers in Computer Science, Nursing Outlook, Machine Vision and Applications, and the IPDPSW workshops.

Best Publications

  • Rapid object detection using a boosted cascade of simple features

    P. Viola;M. Jones

  • Robust Real-Time Face Detection

    Paul Viola;Michael J. Jones

  • Detecting Pedestrians Using Patterns of Motion and Appearance

    Paul Viola;Michael J. Jones;Daniel Snow

  • Statistical color models with application to skin detection

    M.J. Jones;J.M. Rehg

  • Regularization theory and neural networks architectures

    Federico Girosi;Michael Jones;Tomaso Poggio

  • An improved deep learning architecture for person re-identification

    Ejaz Ahmed;Michael Jones;Tim K. Marks

  • Fast Multi-view Face Detection

    Michael Jones;Paul Viola

  • Robust real-time face detection

    P. Viola;M. Jones

  • Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade

    Paul Viola;Michael Jones

  • A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

    Bharat Singh;Tim K. Marks;Michael Jones;Oncel Tuzel

  • A Monte Carlo algorithm for fast projective clustering

    Cecilia M. Procopiuc;Michael Jones;Pankaj K. Agarwal;T. M. Murali

  • Method and system for object detection in digital images

    Michael J. Jones;Paul Viola

  • Fully automatic pose-invariant face recognition via 3D pose normalization

    Akshay Asthana;Tim K. Marks;Michael J. Jones;Kinh H. Tieu

  • A Survey of Single-Scene Video Anomaly Detection.

    Bharathkumar Ramachandra;Michael J. Jones;Ranga Raju Vatsavai

  • Survey and Benchmarking of Machine Learning Accelerators

    Albert Reuther;Peter Michaleas;Michael Jones;Vijay Gadepally

  • Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

    Albert Reuther;Jeremy Kepner;Chansup Byun;Siddharth Samsi

  • Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

    Federico Girosi;Michael Jones;Tomaso Poggio

  • Multidimensional morphable models: a framework for representing and matching object classes

    Michael Jeffrey Jones;Tomaso Poggio

  • A bootstrapping algorithm for learning linear models of object classes

    T. Vetter;M.J. Jones;T. Poggio

  • Face Recognition Using Boosted Local Features

    Michael J. Jones;Paul Viola

  • System and method for detecting objects in images

    Paul A. Viola;Michael J. Jones

  • Multidimensional morphable models

    M.J. Jones;T. Poggio

  • Image analysis and synthesis networks using shape and texture information

    Tomaso Poggio;David Beymer;Michael Jones;Thomas Vetter

Frequent Co-Authors

Paul A. Viola
Paul A. Viola Microsoft (United States)
Guodong Guo
Guodong Guo West Virginia University
Thomas Vetter
Thomas Vetter University of Basel
Oncel Tuzel
Oncel Tuzel Apple (United States)
Cynthia Rudin
Cynthia Rudin Duke University
Timothy J. Davis
Timothy J. Davis University of Melbourne
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Anoop Cherian
Anoop Cherian Mitsubishi Electric (United States)

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