2026 Aditya Krishna Menon: 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	35	11507	11177	4730	4526	126	7350

Aditya Krishna Menon 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 Aditya Krishna Menon sits on this spectrum.

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.

Aditya Krishna Menon 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 Aditya Krishna Menon sits on this spectrum.

30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Aditya Krishna Menon is affiliated with Google in the United States. Their research primarily falls within the domain of Computer Science, with a particular concentration on Artificial Intelligence. This focus includes subfields such as Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics, and Biomedical Engineering.

The scientist's frequent publication venues include arXiv (Cornell University), where they have contributed extensively, Journal of Orthopaedic Case Reports, ACS Biomaterials Science & Engineering, Physicochemical Problems of Mineral Processing, and Chemistry of Materials.

Key topics covered in their work reflect diverse aspects of machine learning and related technologies:

Machine Learning and Data Classification
Domain Adaptation and Few-Shot Learning
Topic Modeling
Natural Language Processing Techniques
Machine Learning and Algorithms
Adversarial Robustness in Machine Learning
Text and Document Classification Technologies

Recent papers authored or co-authored by Aditya Krishna Menon provide insight into specific areas of their research focus. These include:

"Hierarchical Machine Learning for High-Fidelity 3D Printed Biopolymers" (2020), published in ACS Biomaterials Science & Engineering
"Long-tail learning via logit adjustment" (2020), published on arXiv (Cornell University)
"Federated Learning with Only Positive Labels" (2020), published on arXiv (Cornell University)
"Self-supervised Learning for Large-scale Item Recommendations" (2020), published on arXiv (Cornell University)
"Does label smoothing mitigate label noise?" (2020), published on arXiv (Cornell University)

Their collaborative work is reflected in frequent co-authorship with several researchers, including:

Ankit Singh Rawat
Sanjiv Kumar
Wittawat Jitkrittum
Harikrishna Narasimhan

Best Publications

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach

Giorgio Patrini;Giorgio Patrini;Alessandro Rozza;Aditya Krishna Menon;Aditya Krishna Menon;Richard Nock;Richard Nock;Richard Nock

1463
Citations
AutoRec: Autoencoders Meet Collaborative Filtering

Suvash Sedhain;Aditya Krishna Menon;Scott Sanner;Lexing Xie

1294
Citations
Link prediction via matrix factorization

Aditya Krishna Menon;Charles Elkan

673
Citations
Long-tail learning via logit adjustment

Aditya Krishna Menon;Sadeep Jayasumana;Ankit Singh Rawat;Himanshu Jain

308
Citations
Anomaly Detection using One-Class Neural Networks.

Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

294
Citations
The cost of fairness in binary classification

Aditya Krishna Menon;Robert C Williamson

248
Citations
Learning with symmetric label noise: the importance of being unhinged

Brendan van Rooyen;Aditya Krishna Menon;Robert C. Williamson

228
Citations
Large-Scale Support Vector Machines: Algorithms and Theory

Aditya Menon

218
Citations
Self-supervised Learning for Large-scale Item Recommendations

Tiansheng Yao;Xinyang Yi;Derek Zhiyuan Cheng;Felix Yu

215
Citations
Learning from Corrupted Binary Labels via Class-Probability Estimation

Aditya Menon;Brendan Van Rooyen;Cheng Soon Ong;Bob Williamson

199
Citations
Response prediction using collaborative filtering with hierarchies and side-information

Aditya Krishna Menon;Krishna-Prasad Chitrapura;Sachin Garg;Deepak Agarwal

187
Citations
Robust, Deep and Inductive Anomaly Detection

Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

165
Citations
A Machine Learning Framework for Programming by Example

Aditya Menon;Omer Tamuz;Sumit Gulwani;Butler Lampson

153
Citations
Beam search algorithms for multilabel learning

Abhishek Kumar;Shankar Vembu;Aditya Krishna Menon;Charles Elkan

117
Citations
Fast Algorithms for Approximating the Singular Value Decomposition

Aditya Krishna Menon;Charles Elkan

101
Citations
Can gradient clipping mitigate label noise

Aditya Krishna Menon;Ankit Singh Rawat;Sashank J. Reddi;Sanjiv Kumar

99
Citations
A Log-Linear Model with Latent Features for Dyadic Prediction

Aditya Krishna Menon;Charles Elkan

91
Citations
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance

Aditya Menon;Harikrishna Narasimhan;Shivani Agarwal;Sanjay Chawla

89
Citations
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Giorgio Patrini;Giorgio Patrini;Alessandro Rozza;Aditya Menon;Aditya Menon;Richard Nock;Richard Nock;Richard Nock

85
Citations
A colorful approach to text processing by example

Kuat Yessenov;Shubham Tulsiani;Aditya Menon;Robert C. Miller

72
Citations
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data

Nan Lu;Gang Niu;Aditya Krishna Menon;Masashi Sugiyama

64
Citations
Low-Rank Linear Cold-Start Recommendation from Social Data.

Suvash Sedhain;Aditya Krishna Menon;Scott Sanner;Lexing Xie

57
Citations
Federated Learning with Only Positive Labels

Felix Xinnan Yu;Ankit Singh Rawat;Aditya Menon;Sanjiv Kumar

47
Citations
Complementary-Label Learning for Arbitrary Losses and Models

Takashi Ishida;Gang Niu;Aditya Krishna Menon;Masashi Sugiyama

39
Citations

Frequent Co-Authors

Sanjiv Kumar Google (United States)

Richard Nock Australian National University

Robert C. Williamson University of Tübingen

Lexing Xie Australian National University

Felix X. Yu Google (United States)

Sashank J. Reddi Google (United States)

Charles Elkan University of California, San Diego

Sanjay Chawla Qatar Computing Research Institute

Xiaoqian Jiang The University of Texas Health Science Center at Houston

Lucila Ohno-Machado University of California, San Diego

External Links

Personal website of Aditya Krishna Menon

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