Raghu Meka
Impact in
- Computational Mathematics top 5%
-
- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
Papers in
-
- Machine Learning and Algorithms 14
- Cryptography and Data Security 12
- Algorithms and Data Compression 6
- Stochastic Gradient Optimization Techniques 5
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- Complexity and Algorithms in Graphs 25
- Advanced Graph Theory Research 5
- Co-authors
- Inderjit S. Dhillon (5 shared papers)Prateek Jain (2 shared papers)David Zuckerman (6 shared papers)Shachar Lovett (5 shared papers)Parikshit Gopalan (9 shared papers)Adam R. Klivans (8 shared papers)Prasad Raghavendra (5 shared papers)Omer Reingold (7 shared papers)
- Journals
- SIAM Journal on Computing (5 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)Journal of the ACM (1 paper)Computational Complexity (1 paper)Theory of Computing (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Raghu Meka
47 papers receiving 735 citations
Peers
Comparison fields: 5 of 59
- Computational Mathematics 32
- Computational Theory and Mathematics 316
- Computational Mechanics 272
- Numerical Analysis 65
- Computer Graphics and Computer-Aided Design 38
Countries citing papers authored by Raghu Meka
This map shows the geographic impact of Raghu Meka'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 Raghu Meka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghu Meka more than expected).
Fields of papers citing papers by Raghu Meka
This network shows the impact of papers produced by Raghu Meka. 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 Raghu Meka. The network helps show where Raghu Meka may publish in the future.
Co-authors
The 25 scholars most cited alongside Raghu Meka, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guaranteed Rank Minimization via Singular Value Projection | 2010 | 240 |
| 2 | 2008 | 45 | |
| 3 | 2010 | 36 | |
| 4 | 2012 | 33 | |
| 5 | 2008 | 31 | |
| 6 | 2012 | 31 | |
| 7 | 2012 | 30 | |
| 8 | Matrix Completion from Power-Law Distributed Samples | 2009 | 28 |
| 9 | 2015 | 28 | |
| 10 | 2010 | 26 | |
| 11 | 2012 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2011 | 21 | |
| 14 | 2013 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2008 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2012 | 15 | |
| 20 | 2015 | 15 |
About Raghu Meka
Raghu Meka is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability, Discrete Mathematics and Combinatorics and Numerical Analysis, having authored 48 papers that have together received 811 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (25 papers), Machine Learning and Algorithms (14 papers), Cryptography and Data Security (12 papers), Markov Chains and Monte Carlo Methods (7 papers), Algorithms and Data Compression (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Advanced Graph Theory Research (5 papers) and Mathematical Approximation and Integration (4 papers). The work is most often cited by research in Computational Mathematics (32 citations), Computational Theory and Mathematics (316 citations), Computational Mechanics (272 citations), Numerical Analysis (65 citations) and Computer Graphics and Computer-Aided Design (38 citations). Raghu Meka has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Inderjit S. Dhillon, Prateek Jain, David Zuckerman, Shachar Lovett, Parikshit Gopalan, Adam R. Klivans, Prasad Raghavendra, Prateek Jain, Omer Reingold and Russell Impagliazzo. Their work appears in journals such as SIAM Journal on Computing, Statistical Analysis and Data Mining The ASA Data Science Journal, Journal of the ACM, Computational Complexity and Theory of Computing.
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.