Praneeth Netrapalli
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Stochastic Gradient Optimization Techniques 12
- Bayesian Modeling and Causal Inference 3
- Neural Networks and Applications 3
- Reinforcement Learning in Robotics 2
- Topic Modeling 2
- Machine Learning and Algorithms 2
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- Sparse and Compressive Sensing Techniques 10
- Co-authors
- Sujay Sanghavi (9 shared papers)Prateek Jain (7 shared papers)Prateek Jain (4 shared papers)Animashree Anandkumar (5 shared papers)Chi Jin (4 shared papers)Michael I. Jordan (3 shared papers)Sham M. Kakade (4 shared papers)Alekh Agarwal (3 shared papers)
- Journals
- SIAM Journal on Optimization (2 papers)Journal of the Indian Institute of Science (1 paper)Journal of the ACM (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Praneeth Netrapalli
31 papers receiving 1.6k citations
Praneeth Netrapalli's Hit Papers
Peers
Comparison fields: 5 of 83
- Computational Mathematics 62
- Computational Mechanics 765
- Statistical and Nonlinear Physics 147
- Artificial Intelligence 375
- Numerical Analysis 46
Countries citing papers authored by Praneeth Netrapalli
This map shows the geographic impact of Praneeth Netrapalli'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 Praneeth Netrapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praneeth Netrapalli more than expected).
Fields of papers citing papers by Praneeth Netrapalli
This network shows the impact of papers produced by Praneeth Netrapalli. 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 Praneeth Netrapalli. The network helps show where Praneeth Netrapalli may publish in the future.
Co-authors
The 25 scholars most cited alongside Praneeth Netrapalli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Low-rank matrix completion using alternating minimization Hit paper breakdown → | 2013 | 548 |
| 2 | Phase Retrieval Using Alternating Minimization Hit paper breakdown → | 2015 | 359 |
| 3 | 2012 | 99 | |
| 4 | How to escape saddle points efficiently | 2017 | 79 |
| 5 | 2019 | 77 | |
| 6 | 2014 | 72 | |
| 7 | 2016 | 64 | |
| 8 | 2012 | 54 | |
| 9 | 2021 | 48 | |
| 10 | Learning Sparsely Used Overcomplete Dictionaries | 2014 | 35 |
| 11 | One-Bit Compressed Sensing: Provable Support and Vector Recovery | 2013 | 34 |
| 12 | 2018 | 30 | |
| 13 | 2010 | 27 | |
| 14 | What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? | 2020 | 26 |
| 15 | 2020 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2021 | 13 | |
| 18 | Provable non-convex robust PCA | 2014 | 12 |
| 19 | Thresholding Based Outlier Robust PCA. | 2017 | 12 |
| 20 | 2012 | 10 |
About Praneeth Netrapalli
Praneeth Netrapalli is a scholar working on Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics, Statistics and Probability and Management Science and Operations Research, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers), Bayesian Modeling and Causal Inference (3 papers), Complex Network Analysis Techniques (3 papers), Neural Networks and Applications (3 papers), Reinforcement Learning in Robotics (2 papers), Topic Modeling (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Computational Mathematics (62 citations), Computational Mechanics (765 citations), Statistical and Nonlinear Physics (147 citations), Artificial Intelligence (375 citations) and Numerical Analysis (46 citations). Praneeth Netrapalli has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sujay Sanghavi, Prateek Jain, Prateek Jain, Animashree Anandkumar, Chi Jin, Michael I. Jordan, Sham M. Kakade, Alekh Agarwal, Rong Ge and Prateek Jain. Their work appears in journals such as SIAM Journal on Optimization, Journal of the Indian Institute of Science, Journal of the ACM, ACM SIGMETRICS Performance Evaluation Review and IEEE Transactions on Signal Processing.
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.