Prateek Jain
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Spectroscopy Techniques in Biomedical and Chemical Research 8
- Co-authors
- Praneeth NetrapalliSujay SanghaviInderjit S. DhillonAmit M. JoshiBrian KulisRaghu MekaKristen GraumanSaraju P. Mohanty
- Journals
- IEEE Transactions on Consumer Electronics (2 papers)IEEE Access (2 papers)IEEE Consumer Electronics Magazine (2 papers)Journal of Applied Physics (2 papers)Applied Optics (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Prateek Jain
87 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computational Mathematics 130
- Computational Mechanics 709
- Computer Vision and Pattern Recognition 637
- Signal Processing 285
- Biophysics 118
Countries citing papers authored by Prateek Jain
This map shows the geographic impact of Prateek Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prateek Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Jain more than expected).
Fields of papers citing papers by Prateek Jain
This network shows the impact of papers produced by Prateek Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Prateek Jain. The network helps show where Prateek Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prateek Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 35 | |
| 5 | Soft Threshold Weight Reparameterization for Learnable Sparsity | 2020 | 3 |
| 6 | Learning Natural Programs from a Few Examples in Real-Time | 2019 | 1 |
| 7 | SGD without Replacement: Sharper Rates for General Smooth Convex Functions | 2019 | 4 |
| 8 | Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression | 2019 | 1 |
| 9 | Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds | 2018 | 2 |
| 10 | Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form | 2018 | 2 |
| 11 | Thresholding Based Outlier Robust PCA. | 2017 | 10 |
| 12 | Mixed Linear Regression with Multiple Components | 2016 | 7 |
| 13 | Regret Bounds for Non-decomposable Metrics with Missing Labels | 2016 | 0 |
| 14 | Learning Sparsely Used Overcomplete Dictionaries | 2014 | 28 |
| 15 | Provable non-convex robust PCA | 2014 | 12 |
| 16 | One-Bit Compressed Sensing: Provable Support and Vector Recovery | 2013 | 29 |
| 17 | 2012 | 116 | |
| 18 | Guaranteed Rank Minimization via Singular Value Projection | 2010 | 240 |
| 19 | Automated review of natural language requirements documents | 2009 | 2 |
| 20 | Multiwavelength Shack-Hartmann Aberrometer | 2006 | 1 |
About Prateek Jain
Prateek Jain is a scholar working on Computational Mathematics, Biophysics, Acoustics and Ultrasonics, Computational Mechanics and Human-Computer Interaction, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Analog and Mixed-Signal Circuit Design (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), Diabetes Management and Research (6 papers), Low-power high-performance VLSI design (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Computational Mathematics (130 citations), Computational Mechanics (709 citations), Computer Vision and Pattern Recognition (637 citations), Signal Processing (285 citations) and Biophysics (118 citations). Prateek Jain has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Praneeth Netrapalli, Sujay Sanghavi, Inderjit S. Dhillon, Amit M. Joshi, Brian Kulis, Raghu Meka, Kristen Grauman, Saraju P. Mohanty, Sewoong Oh and Jason V. Davis. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, IEEE Consumer Electronics Magazine, Journal of Applied Physics and Applied Optics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.