Pradeep Ravikumar
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Machine Learning and Algorithms 3
- Bayesian Modeling and Causal Inference 3
- Natural Language Processing Techniques 2
- Bayesian Methods and Mixture Models 2
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- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 2
- Random Matrices and Applications 2
- Co-authors
- Martin J. Wainwright (2 shared papers)Bin Yu (1 shared paper)Garvesh Raskutti (1 shared paper)John Lafferty (2 shared papers)Han Liu (1 shared paper)Larry Wasserman (1 shared paper)Eunho Yang (4 shared papers)Ambuj Tewari (1 shared paper)
- Journals
- Inverse Problems (1 paper)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)Electronic Journal of Statistics (1 paper)BMC Systems Biology (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Pradeep Ravikumar
18 papers receiving 897 citations
Peers
Comparison fields: 5 of 94
- Statistics and Probability 489
- Computational Mathematics 8
- Artificial Intelligence 393
- Computational Mechanics 197
- Signal Processing 62
Countries citing papers authored by Pradeep Ravikumar
This map shows the geographic impact of Pradeep Ravikumar'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 Pradeep Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Ravikumar more than expected).
Fields of papers citing papers by Pradeep Ravikumar
This network shows the impact of papers produced by Pradeep Ravikumar. 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 Pradeep Ravikumar. The network helps show where Pradeep Ravikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Ravikumar, 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 | 2011 | 419 | |
| 2 | 2009 | 325 | |
| 3 | On NDCG Consistency of Listwise Ranking Methods | 2011 | 39 |
| 4 | 2007 | 33 | |
| 5 | On Learning Discrete Graphical Models using Group-Sparse Regularization | 2011 | 32 |
| 6 | 2015 | 23 | |
| 7 | 2016 | 14 | |
| 8 | Elementary Estimators for Sparse Covariance Matrices and other Structured Moments | 2014 | 11 |
| 9 | 2016 | 11 | |
| 10 | 2015 | 9 | |
| 11 | Human Boosting | 2013 | 4 |
| 12 | Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches | 2020 | 4 |
| 13 | 2017 | 3 | |
| 14 | A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models | 2015 | 3 |
| 15 | Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence. | 2022 | 2 |
| 16 | Regularized sparse inverse covariance matrix estimation | 2012 | 2 |
| 17 | Tracking with ranked signals | 2015 | 1 |
| 18 | DAGs with NO TEARS: Smooth Optimization for Structure Learning. | 2018 | 1 |
About Pradeep Ravikumar
Pradeep Ravikumar is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 18 papers that have together received 936 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Machine Learning and Algorithms (3 papers), Bayesian Modeling and Causal Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers), Natural Language Processing Techniques (2 papers), Bayesian Methods and Mixture Models (2 papers), Random Matrices and Applications (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Statistics and Probability (489 citations), Computational Mathematics (8 citations), Artificial Intelligence (393 citations), Computational Mechanics (197 citations) and Signal Processing (62 citations). Pradeep Ravikumar has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Martin J. Wainwright, Bin Yu, Garvesh Raskutti, John Lafferty, Han Liu, Larry Wasserman, Eunho Yang, Ambuj Tewari, Ali Jalali and Sujay Sanghavi. Their work appears in journals such as Inverse Problems, Wiley Interdisciplinary Reviews Computational Statistics, Electronic Journal of Statistics, BMC Systems Biology and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.