2026 Navdeep Jaitly: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	49	5732	5569	2603	2512	113	41665

Navdeep Jaitly 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 Navdeep Jaitly sits on this spectrum.

32 publications 991+

This scientist: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Navdeep Jaitly 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 Navdeep Jaitly sits on this spectrum.

30 D-Index 131+

This scientist: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Navdeep Jaitly is a researcher affiliated with Google in the United States, specializing in Computer Science with a focus on Artificial Intelligence. Their work spans several subfields including Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, and Language and Linguistics.

Their research topics cover a range of areas in machine learning and speech processing, notably:

Topic Modeling
Speech Recognition and Synthesis
Natural Language Processing Techniques
Speech and Audio Processing
Speech and dialogue systems
Reinforcement Learning in Robotics
Generative Adversarial Networks and Image Synthesis

Jaitly has contributed to numerous publications, with a strong presence in the venue arXiv (Cornell University), where they have published 42 papers. Selected recent publications include:

"Imputer: Sequence Modelling via Imputation and Dynamic Programming" (2020), arXiv (Cornell University)
"RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions" (2020), arXiv (Cornell University)
"Matryoshka Diffusion Models" (2023), arXiv (Cornell University)
"Position Prediction as an Effective Pretraining Strategy" (2022), arXiv (Cornell University)
"Continuous Pseudo-Labeling from the Start" (2022), arXiv (Cornell University)

The research collaborations of Navdeep Jaitly are reflected in frequent coauthors, including:

Jiatao Gu
Josh Susskind
Shuangfei Zhai
Tatiana Likhomanenko
Yizhe Zhang

Their body of work demonstrates an engagement with foundational and applied aspects of speech and language technologies, as well as exploration into reinforcement learning and image synthesis techniques.

Best Publications

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

G. Hinton;Li Deng;Dong Yu;G. E. Dahl

13421
Citations
Deep Neural Networks for Acoustic Modeling in Speech Recognition

Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

3219
Citations
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

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

2691
Citations
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

William Chan;Navdeep Jaitly;Quoc Le;Oriol Vinyals

2408
Citations
Towards End-To-End Speech Recognition with Recurrent Neural Networks

Alex Graves;Navdeep Jaitly

2403
Citations
Hybrid speech recognition with Deep Bidirectional LSTM

Alex Graves;Navdeep Jaitly;Abdel-rahman Mohamed

2071
Citations
Tacotron: Towards End-to-End Speech Synthesis

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

1958
Citations
Scheduled sampling for sequence prediction with recurrent Neural networks

Samy Bengio;Oriol Vinyals;Navdeep Jaitly;Noam Shazeer

1722
Citations
Pointer networks

Oriol Vinyals;Meire Fortunato;Navdeep Jaitly

1507
Citations
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

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

1178
Citations
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Quoc V. Le;Navdeep Jaitly;Geoffrey E. Hinton

745
Citations
Adversarial Autoencoders

Alireza Makhzani;Jonathon Shlens;Navdeep Jaitly;Ian Goodfellow

539
Citations
DAnTE: a statistical tool for quantitative analysis of -omics data

Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk

493
Citations
Very deep convolutional networks for end-to-end speech recognition

Yu Zhang;William Chan;Navdeep Jaitly

491
Citations
Listen, Attend and Spell

William Chan;Navdeep Jaitly;Quoc V. Le;Oriol Vinyals

453
Citations
Towards better decoding and language model integration in sequence to sequence models

Jan Chorowski;Navdeep Jaitly

394
Citations
Vocal Tract Length Perturbation (VTLP) improves speech recognition

Navdeep Jaitly;E. Hinton

391
Citations
Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition

Navdeep Jaitly;Patrick Nguyen;Andrew W. Senior;Vincent Vanhoucke

355
Citations
Sequence-to-Sequence Models Can Directly Translate Foreign Speech

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

336
Citations
A Comparison of Sequence-to-Sequence Models for Speech Recognition

Rohit Prabhavalkar;Kanishka Rao;Tara N. Sainath;Bo Li

334
Citations
The shared views of four research groups )

Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

8
Citations
Towards End-to-End Speech Recognitionwith Recurrent Neural Networks

Alex Graves;Navdeep Jaitly

0
Citations

Frequent Co-Authors

Richard D. Smith Pacific Northwest National Laboratory

Yonghui Wu Google (United States)

Matthew E. Monroe Pacific Northwest National Laboratory

Zhifeng Chen Google (United States)

Joshua N. Adkins Pacific Northwest National Laboratory

Chung-Cheng Chiu Google (United States)

Ron Weiss MIT

Patrick Nguyen Google (United States)

Samy Bengio Apple (United States)

Tara N. Sainath Google (United States)

External Links

Personal website of Navdeep Jaitly Google Scholar page

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