World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6642
World Ranking
12934
National Ranking
200

Ami Wiesel 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 Ami Wiesel 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Ami Wiesel 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 Ami Wiesel 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Ami Wiesel is affiliated with the Hebrew University of Jerusalem in Israel. Their research primarily intersects the fields of Computer Science and Engineering.

Their work focuses on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications, and Control and Systems Engineering.

Key research topics covered by Ami Wiesel encompass:

  • Sparse and Compressive Sensing Techniques
  • Distributed Sensor Networks and Detection Algorithms
  • Machine Learning and Algorithms
  • Fault Detection and Control Systems
  • Image and Signal Denoising Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Image Processing Techniques

Ami Wiesel has collaborated frequently with several coauthors, including:

  • Tzvi Diskin
  • Uri Okun
  • Yiftach Beer
  • Yonina C. Eldar
  • Itai Alon

Their publication record includes multiple recent papers such as:

  • CFARnet: Deep learning for target detection with constant false alarm rate, 2024, published in Signal Processing
  • Learning to Estimate Without Bias, 2023, published in IEEE Transactions on Signal Processing
  • PnP-Net: A hybrid Perspective-n-Point Network, 2020, published on arXiv (Cornell University)
  • Learning to Detect with Constant False Alarm Rate, 2022, presented at the 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
  • Learning to Estimate Without Bias, 2021, published on arXiv (Cornell University)

Common venues where Ami Wiesel publishes include:

  • arXiv (Cornell University)
  • IEEE Signal Processing Letters
  • IEEE Transactions on Signal Processing
  • Signal Processing
  • 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

Best Publications

  • Linear precoding via conic optimization for fixed MIMO receivers

    A. Wiesel;Y.C. Eldar;S. Shamai

  • Zero-Forcing Precoding and Generalized Inverses

    A. Wiesel;Y.C. Eldar;S. Shamai

  • Dynamic reconfiguration of the default mode network during narrative comprehension

    Erez Simony;Christopher J Honey;Janice Chen;Olga Lositsky

  • Shrinkage Algorithms for MMSE Covariance Estimation

    Yilun Chen;Ami Wiesel;Yonina C Eldar;Alfred O Hero

  • Learning to Detect

    Neev Samuel;Tzvi Diskin;Ami Wiesel

  • Deep MIMO detection

    Neev Samuel;Tzvi Diskin;Ami Wiesel

  • Robust Shrinkage Estimation of High-Dimensional Covariance Matrices

    Yilun Chen;A. Wiesel;A. O. Hero

  • On the Gaussian MIMO Wiretap Channel

    A. Khisti;G. Wornell;A. Wiesel;Y. Eldar

  • Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels

    A. Wiesel;Y.C. Eldar;S. Shamai

  • Efficient implementation of sphere demodulation

    A. Wiesel;X. Mestre;A. Pages;J.R. Fonollosa

  • Non-data-aided signal-to-noise-ratio estimation

    A. Wiesel;J. Goldberg;H. Messer

  • Geodesic Convexity and Covariance Estimation

    A. Wiesel

  • SNR estimation in time-varying fading channels

    A. Wiesel;J. Goldberg;H. Messer-Yaron

  • Power System State Estimation Using PMUs With Imperfect Synchronization

    Peng Yang;Zhao Tan;Ami Wiesel;Arye Nehora

  • Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models

    A. Wiesel

  • Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models

    Teng Zhang;Ami Wiesel;Maria Sabrina Greco

  • Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds

    A. Wiesel;Y.C. Eldar;A. Yeredor

  • Distributed Covariance Estimation in Gaussian Graphical Models

    A. Wiesel;A. O. Hero

  • Shrinkage estimation of high dimensional covariance matrices

    Yilun Chen;Ami Wiesel;Alfred O. Hero

  • Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties

    A T Puig;A Wiesel;G Fleury;A O Hero

  • Decomposable Principal Component Analysis

    A. Wiesel;A.O. Hero

  • Time Varying Autoregressive Moving Average Models for Covariance Estimation

    Ami Wiesel;Ofir Bibi;Amir Globerson

Frequent Co-Authors

Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Amir Globerson
Amir Globerson Tel Aviv University
Yossi Matias
Yossi Matias Google (United States)
Avinatan Hassidim
Avinatan Hassidim Bar-Ilan University
Arye Nehorai
Arye Nehorai Washington University in St. Louis
Rick S. Blum
Rick S. Blum Lehigh University
Maria Greco
Maria Greco University of Pisa
Jinhong Yuan
Jinhong Yuan University of New South Wales

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options can open up exciting pathways in computer science and related fields. Students who want to earn their qualifications quickly may be interested in the shortest masters degree programs. These accelerated degrees are designed to help you get career-ready in less time, making them ideal for motivated learners.

If you are aiming for programs with the biggest impact on your future, check out the most valuable masters degrees. Degrees such as computer science, data analytics, and cybersecurity are consistently in high demand by employers, boosting job prospects and earning potential.

Not everyone needs a four-year degree to begin a career in tech. For those starting out or changing careers, associates degrees online offer affordable and flexible ways to build foundational skills and qualify for entry-level IT roles.

Affordability is a key concern for many students. Fortunately, there are cheap online college classes available that make it easier to earn a recognized credential without breaking the bank.

Best Scientists Citing Ami Wiesel

Trending Scientists

Recently Published Articles