World's Best Scientists 2026 revealed!
Ron Weiss

Ron Weiss

D-Index & Metrics

Computer Science

D-Index
84
Citations
109587
World Ranking
816
National Ranking
444

Ron Weiss 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 Ron Weiss 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Ron Weiss 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 Ron Weiss 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: 84 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Ron Weiss is affiliated with MIT in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence, signal processing, and related subfields.

Their research spans several main topics including:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Audio Processing
  • Music Technology and Sound Studies
  • Model Reduction and Neural Networks

Ron Weiss has published a number of papers, primarily disseminated through arXiv at Cornell University and other venues such as the 2022 IEEE Spoken Language Technology Workshop (SLT). Notable recent papers include:

  • "Unsupervised Sound Separation Using Mixture Invariant Training", 2020, arXiv (Cornell University)
  • "WaveGrad: Estimating Gradients for Waveform Generation", 2020, arXiv (Cornell University)
  • "Parallel Tacotron: Non-Autoregressive and Controllable TTS", 2020, arXiv (Cornell University)
  • "Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior", 2020, arXiv (Cornell University)
  • "Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis", 2020, arXiv (Cornell University)

The majority of their publications are found in arXiv (Cornell University), with a total of nine papers in this venue, complemented by other contributions such as to the 2022 IEEE Spoken Language Technology Workshop.

Frequent collaborators include:

  • Heiga Zen (5 coauthored papers)
  • Bhuvana Ramabhadran (3 coauthored papers)
  • Yonghui Wu (3 coauthored papers)
  • Yu Zhang (3 coauthored papers)
  • Guangzhi Sun (2 coauthored papers)

Ron Weiss's work largely focuses on advanced methodologies in speech synthesis and sound processing. The development of models and techniques within speech and audio processing, combined with expertise in natural language processing, illustrates a cross-disciplinary approach to computational audio and language technologies.

Their contributions include exploration of neural network models for waveform generation and prosody modeling, as well as unsupervised separation of sound sources, offering insight into complex audio signal processing tasks.

Best Publications

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    Jonathan Shen;Ruoming Pang;Ron J. Weiss;Mike Schuster

  • CNN architectures for large-scale audio classification

    Shawn Hershey;Sourish Chaudhuri;Daniel P. W. Ellis;Jort F. Gemmeke

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • Highly efficient Cas9-mediated transcriptional programming

    Alejandro Chavez;Jonathan Scheiman;Suhani Vora;Benjamin W Pruitt

  • The second wave of synthetic biology: from modules to systems

    Priscilla E. M. Purnick;Ron Weiss

  • Synthetic biology: new engineering rules for an emerging discipline

    Ernesto Andrianantoandro;Subhayu Basu;David K Karig;Ron Weiss

  • State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

    Chung-Cheng Chiu;Tara N. Sainath;Yonghui Wu;Rohit Prabhavalkar

  • Amorphous computing

    Harold Abelson;Don Allen;Daniel Coore;Chris Hanson

  • LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

    Heiga Zen;Viet Dang;Rob Clark;Yu Zhang

  • Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

    Ye Jia;Yu Zhang;Ron J. Weiss;Quan Wang

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • A universal RNAi-based logic evaluator that operates in mammalian cells

    Keller Rinaudo;Leonidas Bleris;Rohan Maddamsetti;Sairam Subramanian

  • Learning the Speech Front-end with Raw Waveform CLDNNs

    Tara N. Sainath;Ron J. Weiss;Andrew W. Senior;Kevin W. Wilson

  • Directed evolution of a genetic circuit

    Yohei Yokobayashi;Ron Weiss;Frances H. Arnold

  • HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering

    Ron Weiss;Bienvenido Vélez;Mark A. Sheldon

  • Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

    RJ Skerry-Ryan;Eric Battenberg;Ying Xiao;Yuxuan Wang

  • Model-Based Expectation-Maximization Source Separation and Localization

    M.I. Mandel;R.J. Weiss;D. Ellis

  • VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

    Hannah Raphaelle Muckenhirn;Ignacio Lopez Moreno;John Hershey;Kevin Wilson

  • Cas9 gRNA engineering for genome editing, activation and repression

    Samira Kiani;Alejandro Chavez;Alejandro Chavez;Marcelle Tuttle;Richard N Hall

  • Sequence-to-Sequence Models Can Directly Translate Foreign Speech

    Ron J. Weiss;Jan Chorowski;Navdeep Jaitly;Yonghui Wu

  • Highly efficient Cas9-mediated transcriptional programming

    Alejandro Chavez;Jonathan Scheiman;Marcelle Tuttle;Shuailiang Lin

Frequent Co-Authors

Yonghui Wu
Yonghui Wu Google (United States)
Zhifeng Chen
Zhifeng Chen Google (United States)
Tara N. Sainath
Tara N. Sainath Google (United States)
Jacob Beal
Jacob Beal Raytheon (United States)
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
George M. Church
George M. Church Harvard University
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Michiel Bacchiani
Michiel Bacchiani Google (United States)
Yuxuan Wang
Yuxuan Wang ByteDance
Heiga Zen
Heiga Zen Google (United States)

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

If you’re considering a Computer Science degree in the USA, you’ll find many online programs that complement or expand your career opportunities. Related fields such as data science, criminal justice, accounting, and construction management often attract students with technical and analytical interests.

Many students are drawn to an best online criminal justice degree for roles in cybersecurity, digital forensics, and law enforcement technology. Those with an interest in business applications may explore an accounting degree cost and compare financial aspects, preparing for specialized roles in finance technology and auditing.

For advanced technical skills, consider an online data science masters. Professionals with these qualifications are in high demand for positions in artificial intelligence, analytics, and machine learning. Alternatively, if you’re interested in applying technical knowledge to the built environment, an online building construction degree can lead to project management roles on large-scale infrastructure projects.

Each pathway combines core computer science skills with specialized knowledge, offering flexibility and a wealth of career options through accessible online study.

Best Scientists Citing Ron Weiss

Trending Scientists

Recently Published Articles