2026 Ashutosh Saxena: 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	68	2050	1985	1036	996	250	24352

Research.com Recognitions

2011 - Fellow of Alfred P. Sloan Foundation

Overview

Ashutosh Saxena is affiliated with Cornell University in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on artificial intelligence, computer vision and pattern recognition, computer networks and communications, signal processing, and information systems.

The main fields of study covered in their publications include:

Computer Science
Engineering

Within these broad fields, the scientist has contributed extensively to several subfields:

Artificial Intelligence
Computer Vision and Pattern Recognition
Computer Networks and Communications
Signal Processing
Information Systems

Their research touches on key scientific topics such as:

Coding theory and cryptography
Chaos-based Image/Signal Encryption
Advanced Malware Detection Techniques
Cryptographic Implementations and Security
User Authentication and Security Systems
Network Security and Intrusion Detection
Graph theory and CDMA systems

Frequent collaborators in their research include Vikas Tiwari, Ajeet Singh, Appala Naidu Tentu, K. V. Pradeepthi, and B. N. Mohapatra.

Publication venues encompass journals specialized in information technology, computer security, and communications. Notable venues from their publication record include:

International Journal of Information and Computer Security
arXiv (Cornell University)
Journal of Advances in Information Technology
IET Networks
International Journal of Sensors Wireless Communications and Control

Representative recent papers authored or co-authored by Saxena include:

"Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI Models" (2022), Journal of Advances in Information Technology
"Energy-efficient reporting scheme for cognitive radio networks" (2021), IET Networks
"Improved Detection Performance of Energy Detection Based Spectrum Sensing in Cognitive Radio Networks" (2021), International Journal of Sensors Wireless Communications and Control
"Generation of 8 × 8 S-boxes using 4 × 4 optimal S-boxes" (2023), International Journal of Information and Computer Security
"Noise level estimation using locality preserving natural image statistics" (2024), Pattern Recognition

Ashutosh Saxena was named a Fellow of the Alfred P. Sloan Foundation in 2011.

Best Publications

Make3D: Learning 3D Scene Structure from a Single Still Image

A. Saxena;Min Sun;A.Y. Ng

1971
Citations
Deep learning for detecting robotic grasps

Ian Lenz;Honglak Lee;Ashutosh Saxena

1803
Citations
Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Ashesh Jain;Amir R. Zamir;Silvio Savarese;Ashutosh Saxena

1188
Citations
Learning Depth from Single Monocular Images

Ashutosh Saxena;Sung H. Chung;Andrew Y. Ng

1184
Citations
Robotic Grasping of Novel Objects using Vision

Ashutosh Saxena;Justin Driemeyer;Andrew Y. Ng

1162
Citations
3-D Depth Reconstruction from a Single Still Image

Ashutosh Saxena;Sung H. Chung;Andrew Y. Ng

866
Citations
Learning human activities and object affordances from RGB-D videos

Hema Swetha Koppula;Rudhir Gupta;Ashutosh Saxena

841
Citations
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

Hema S. Koppula;Ashutosh Saxena

828
Citations
A dynamic ID-based remote user authentication scheme

M.L. Das;A. Saxena;V.P. Gulati

812
Citations
Anticipating Human Activities using Object Affordances for Reactive Robotic Response

Hema Swetha Koppula;Ashutosh Saxena

708
Citations
Unstructured human activity detection from RGBD images

Jaeyong Sung;Colin Ponce;Bart Selman;Ashutosh Saxena

692
Citations
Efficient grasping from RGBD images: Learning using a new rectangle representation

Yun Jiang;Stephen Moseson;Ashutosh Saxena

679
Citations
High speed obstacle avoidance using monocular vision and reinforcement learning

Jeff Michels;Ashutosh Saxena;Andrew Y. Ng

589
Citations
Semantic Labeling of 3D Point Clouds for Indoor Scenes

Hema S. Koppula;Abhishek Anand;Thorsten Joachims;Ashutosh Saxena

463
Citations
DeepMPC: Learning Deep Latent Features for Model Predictive Control

Ian Lenz;Ross A. Knepper;Ashutosh Saxena

388
Citations
Human activity detection from RGBD images

Jaeyong Sung;Colin Ponce;Bart Selman;Ashutosh Saxena

381
Citations
Depth estimation using monocular and stereo cues

Ashutosh Saxena;Jamie Schulte;Andrew Y. Ng

302
Citations
Autonomous MAV flight in indoor environments using single image perspective cues

Cooper Bills;Joyce Chen;Ashutosh Saxena

296
Citations
Learning 3-D Scene Structure from a Single Still Image

A. Saxena;Min Sun;A.Y. Ng

293
Citations
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

Ashesh Jain;Hema S. Koppula;Bharad Raghavan;Shane Soh

284
Citations
Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions

Dipendra Kumar Misra;Jaeyong Sung;Kevin Lee;Ashutosh Saxena

265
Citations

Frequent Co-Authors

Andrew Y. Ng Stanford University

Silvio Savarese Stanford University

Bart Selman Cornell University

Tsuhan Chen Cornell University

Thorsten Joachims Cornell University

Min Sun National Tsing Hua University

Amir Roshan Zamir Stanford University

Honglak Lee University of Michigan–Ann Arbor

Joseph Y. Halpern Cornell University

Hod Lipson Columbia University

External Links

Google Scholar page

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