2026 Ruslan Salakhutdinov: 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	116	170	165	100	97	347	162513

Ruslan Salakhutdinov 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 Ruslan Salakhutdinov sits on this spectrum.

32 publications 991+

This scientist: 347 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Ruslan Salakhutdinov 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 Ruslan Salakhutdinov sits on this spectrum.

30 D-Index 131+

This scientist: 116 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2013 - Fellow of Alfred P. Sloan Foundation

Overview

Ruslan Salakhutdinov is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on the field of Computer Science, with a substantial number of publications spanning Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research, and Control and Systems Engineering.

The subfields Salakhutdinov has contributed to include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Management Science and Operations Research
Control and Systems Engineering

Key topics covered in their work are:

Topic Modeling
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
Natural Language Processing Techniques
Domain Adaptation and Few-Shot Learning
Speech Recognition and Synthesis
Music and Audio Processing

Salakhutdinov's recent papers encompass a range of subjects and publication venues:

"Xlnet: Generalized Autoregressive Pretraining for Language Understanding," 2025, arXiv (Cornell University)
"CAWET: Context-Aware Worst-Case Execution Time Estimation Using Transformers," 2023, arXiv (Cornell University)
"HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
"Importance weighted autoencoders," 2024, arXiv (Cornell University)
"Think Locally, Act Globally: Federated Learning with Local and Global Representations," 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Salakhutdinov include:

Louis-Philippe Morency
Paul Pu Liang
Benjamin Eysenbach
Yao-Hung Hubert Tsai
Sergey Levine

The most common publication venues where Salakhutdinov's work appears are:

arXiv (Cornell University)
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
IEEE/ACM Transactions on Audio Speech and Language Processing
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

Among distinctions received, Salakhutdinov was named a Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava;Geoffrey Hinton;Alex Krizhevsky;Ilya Sutskever

43248
Citations
Reducing the Dimensionality of Data with Neural Networks

G. E. Hinton;R. R. Salakhutdinov

23573
Citations
Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton;Nitish Srivastava;Alex Krizhevsky;Ilya Sutskever

10528
Citations
XLNet: Generalized Autoregressive Pretraining for Language Understanding

Zhilin Yang;Zihang Dai;Yiming Yang;Jaime G. Carbonell

6940
Citations
Probabilistic Matrix Factorization

Andriy Mnih;Ruslan R Salakhutdinov

4880
Citations
Siamese Neural Networks for One-shot Image Recognition

Gregory Koch;Richard Zemel;Ruslan Salakhutdinov

3697
Citations
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context.

Zihang Dai;Zhilin Yang;Yiming Yang;Jaime G. Carbonell

3595
Citations
Human-level concept learning through probabilistic program induction.

Brenden M. Lake;Ruslan Salakhutdinov;Joshua B. Tenenbaum

3264
Citations
Multimodal learning with deep Boltzmann machines

Nitish Srivastava;Ruslan Salakhutdinov

3127
Citations
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

3024
Citations
Neighbourhood Components Analysis

Jacob Goldberger;Geoffrey E. Hinton;Sam T. Roweis;Ruslan R Salakhutdinov

2470
Citations
Restricted Boltzmann machines for collaborative filtering

Ruslan Salakhutdinov;Andriy Mnih;Geoffrey Hinton

2453
Citations
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Yukun Zhu;Ryan Kiros;Rich Zemel;Ruslan Salakhutdinov

2302
Citations
Skip-thought vectors

Ryan Kiros;Yukun Zhu;Ruslan Salakhutdinov;Richard S. Zemel

2155
Citations
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Ryan Kiros;Ruslan Salakhutdinov;Richard S. Zemel

1966
Citations
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

Ruslan Salakhutdinov;Andriy Mnih

1817
Citations
Deep Boltzmann machines

Ruslan Salakhutdinov;Geoffrey E. Hinton

1758
Citations
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Zhilin Yang;Peng Qi;Saizheng Zhang;Yoshua Bengio

1581
Citations
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Wei-Ning Hsu;Benjamin Bolte;Yao-Hung Hubert Tsai;Kushal Lakhotia

1565
Citations
Semantic hashing

Ruslan Salakhutdinov;Geoffrey Hinton

1389
Citations
Unsupervised Learning of Video Representations using LSTMs

Nitish Srivastava;Elman Mansimov;Ruslan Salakhutdinov

1014
Citations
Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks

G. E. Hinton;R. R. Salakhutdinov

20
Citations
Supplementary Material for Human-level concept learning through probabilistic program induction

Brenden M. Lake;Ruslan Salakhutdinov;Joshua B. Tenenbaum

3
Citations

Frequent Co-Authors

William W. Cohen Carnegie Mellon University

Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

Geoffrey E. Hinton University of Toronto

Louis-Philippe Morency Carnegie Mellon University

Zhiting Hu University of California, San Diego

Paul Pu Liang Carnegie Mellon University

Nathan Srebro Toyota Technological Institute at Chicago

Barnabás Póczos Carnegie Mellon University

Roger Grosse University of Toronto

Joshua B. Tenenbaum MIT

External Links

Personal website of Ruslan Salakhutdinov Google Scholar page

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