Michael P. Friedlander
- Computational Mathematics top 2%
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques 26
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research 13
- Signal Processing top 2%
- Acoustics and Ultrasonics top 5%
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- Seismic Imaging and Inversion Techniques 7
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- Matrix Theory and Algorithms 7
- Optimization and Variational Analysis 5
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- Machine Learning and Algorithms 4
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- Image and Signal Denoising Methods 4
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- Statistical Methods and Inference 3
- Co-authors
- E. van den BergÖzgür YılmazRayan SaabFelix J. HerrmannMark SchmidtKevin P. MurphyHassan MansourDominique Orban
- Journals
- SIAM Journal on Optimization (6 papers)SIAM Journal on Scientific Computing (4 papers)IEEE Transactions on Information Theory (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Michael P. Friedlander
49 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computational Mathematics 52
- Computational Mechanics 1.6k
- Numerical Analysis 294
- Signal Processing 418
- Acoustics and Ultrasonics 31
Countries citing papers authored by Michael P. Friedlander
This map shows the geographic impact of Michael P. Friedlander'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 Michael P. Friedlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Friedlander more than expected).
Fields of papers citing papers by Michael P. Friedlander
This network shows the impact of papers produced by Michael P. Friedlander. 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 Michael P. Friedlander. The network helps show where Michael P. Friedlander may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael P. Friedlander, 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 | 2025 | 1 | |
| 3 | 2022 | 1 | |
| 4 | Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. | 2020 | 2 |
| 5 | Online mirror descent and dual averaging: keeping pace in the dynamic case | 2020 | 2 |
| 6 | 2020 | 3 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 0 | |
| 9 | Satisfying real-world goals with dataset constraints | 2016 | 9 |
| 10 | 2016 | 10 | |
| 11 | Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models | 2013 | 12 |
| 12 | Gauge optimization, duality, and applications | 2013 | 1 |
| 13 | A Primal-Dual Regularized Interior-Point Method for Convex Quadratic Programs | 2010 | 1 |
| 14 | Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm | 2009 | 147 |
| 15 | 2008 | 56 | |
| 16 | 2008 | 50 | |
| 17 | 2008 | 13 | |
| 18 | A Filter Active-Set Trust-Region Method | 2007 | 5 |
| 19 | 2005 | 33 | |
| 20 | 1979 | 2 |
About Michael P. Friedlander
Michael P. Friedlander is a scholar working on Computational Mathematics, Numerical Analysis and Computational Mechanics, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (26 papers), Advanced Optimization Algorithms Research (13 papers), Seismic Imaging and Inversion Techniques (7 papers), Matrix Theory and Algorithms (7 papers), Optimization and Variational Analysis (5 papers), Machine Learning and Algorithms (4 papers), Image and Signal Denoising Methods (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Computational Mathematics (52 citations), Computational Mechanics (1.6k citations) and Numerical Analysis (294 citations). Michael P. Friedlander has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include E. van den Berg, Özgür Yılmaz, Rayan Saab, Felix J. Herrmann, Mark Schmidt, Kevin P. Murphy, Hassan Mansour, Dominique Orban, Paul Tseng and Michael A. Saunders. Their work appears in journals such as SIAM Journal on Optimization, SIAM Journal on Scientific Computing, IEEE Transactions on Information Theory, ACM Transactions on Mathematical Software and Journal of Physics A Mathematical and Theoretical.
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.