2026 Bhiksha Raj: 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	61	3031	2942	1485	1429	399	17109

Bhiksha Raj 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 Bhiksha Raj sits on this spectrum.

32 publications 991+

This scientist: 399 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Bhiksha Raj 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 Bhiksha Raj sits on this spectrum.

30 D-Index 131+

This scientist: 61 D-Index — 79th percentile

79% 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

2017 - IEEE Fellow For contributions to speech recognition

Overview

Bhiksha Raj is affiliated with Carnegie Mellon University in the United States, focusing their research primarily within the field of Computer Science. Their extensive publication record spans several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, and Cognitive Neuroscience.

Their research engages deeply with topics such as Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Adversarial Robustness in Machine Learning, Natural Language Processing Techniques, Topic Modeling, and Domain Adaptation and Few-Shot Learning.

Bhiksha Raj has contributed extensively to numerous publication venues. Frequent outlets for their work include:

arXiv (Cornell University)
Interspeech 2022
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Proceedings of the AAAI Conference on Artificial Intelligence
Computer Speech & Language

Notable recent papers authored or co-authored by Bhiksha Raj include:

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning, 2022, arXiv (Cornell University)
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning, 2023, arXiv (Cornell University)
Contrast and Order Representations for Video Self-supervised Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks, 2020, arXiv (Cornell University)
USB: A Unified Semi-supervised Learning Benchmark for Classification, 2022, arXiv (Cornell University)

Frequent collaborators in their work include Rita Singh, Soham Deshmukh, Jindong Wang, Hira Dhamyal, and Muqiao Yang.

Bhiksha Raj was recognized by the IEEE as a Fellow in 2017 for contributions to speech recognition.

Best Publications

SphereFace: Deep Hypersphere Embedding for Face Recognition

Weiyang Liu;Yandong Wen;Zhiding Yu;Ming Li

3165
Citations
Sphinx-4: a flexible open source framework for speech recognition

Willie Walker;Paul Lamere;Philip Kwok;Bhiksha Raj

634
Citations
A vector Taylor series approach for environment-independent speech recognition

P.J. Moreno;B. Raj;R.M. Stern

626
Citations
DCASE 2017 challenge setup: tasks, datasets and baseline system

Annamaria Mesaros;Toni Heittola;Aleksandr Diment;Benjamin Martinez Elizalde

485
Citations
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

435
Citations
Speech denoising using nonnegative matrix factorization with priors

K.W. Wilson;B. Raj;P. Smaragdis;A. Divakaran

353
Citations
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition

Zhenzhong Lan;Ming Lin;Xuanchong Li;Alexander G. Hauptmann

350
Citations
Supervised and semi-supervised separation of sounds from single-channel mixtures

Paris Smaragdis;Bhiksha Raj;Madhusudana Shashanka

325
Citations
Reconstruction of missing features for robust speech recognition

Bhiksha Raj;Michael L. Seltzer;Richard M. Stern

287
Citations
Missing-feature approaches in speech recognition

B. Raj;R.M. Stern

286
Citations
A Bayesian Classifier for Spectrographic Mask Estimation for Missing Feature Speech Recognition

Michael L. Seltzer;Bhiksha Raj;Richard M. Stern

217
Citations
Greedy sparsity-constrained optimization

Sohail Bahmani;Bhiksha Raj;Petros T. Boufounos

213
Citations
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Unknown

210
Citations
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers

Manas Pathak;Shantanu Rane;Bhiksha Raj

199
Citations
A Probabilistic Latent Variable Model for Acoustic Modeling

P. Smaragdis;B. Raj;M. Shashanka

197
Citations
Likelihood-maximizing beamforming for robust hands-free speech recognition

M.L. Seltzer;B. Raj;R.M. Stern

191
Citations
Audio Event Detection using Weakly Labeled Data

Anurag Kumar;Bhiksha Raj

189
Citations
Techniques for Noise Robustness in Automatic Speech Recognition

Tuomas Virtanen;Rita Singh;Bhiksha Raj

181
Citations
Probabilistic latent variable models as nonnegative factorizations.

Madhusudana V. S. Shashanka;Bhiksha Raj;Paris Smaragdis

169
Citations
Non-negative hidden Markov modeling of audio with application to source separation

Gautham J. Mysore;Paris Smaragdis;Bhiksha Raj

168
Citations
On the Origin of Deep Learning

Haohan Wang;Bhiksha Raj;Eric P. Xing

137
Citations

Frequent Co-Authors

Richard M. Stern Carnegie Mellon University

Paris Smaragdis University of Illinois at Urbana-Champaign

Isabel Trancoso Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa

Alexander G. Hauptmann Carnegie Mellon University

Michael L. Seltzer Facebook (United States)

Tuomas Virtanen Tampere University

Teruko Mitamura Carnegie Mellon University

Florian Metze Carnegie Mellon University

Pedro J. Moreno Google (United States)

Reinhold Haeb-Umbach University of Paderborn

External Links

Personal website of Bhiksha Raj Google Scholar page

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