Nate Strawn
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Sparse and Compressive Sensing Techniques 6
-
- Mathematical Analysis and Transform Methods 6
- Co-authors
- Dustin G. Mixon (4 shared papers)Jameson Cahill (3 shared papers)A. Armağan (2 shared papers)David B. Dunson (2 shared papers)Jong‐Koo Lee (1 shared paper)Mauro Maggioni (4 shared papers)Stanislav Minsker (5 shared papers)Waheed U. Bajwa (1 shared paper)
- Journals
- Cytokine (1 paper)Journal of Fourier Analysis and Applications (1 paper)Applied and Computational Harmonic Analysis (1 paper)Biometrika (1 paper)Information and Inference A Journal of the IMA (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Nate Strawn
14 papers receiving 137 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 5
- Statistics and Probability 36
- Applied Mathematics 44
- Computational Theory and Mathematics 43
- Computational Mechanics 33
Countries citing papers authored by Nate Strawn
This map shows the geographic impact of Nate Strawn'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 Nate Strawn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nate Strawn more than expected).
Fields of papers citing papers by Nate Strawn
This network shows the impact of papers produced by Nate Strawn. 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 Nate Strawn. The network helps show where Nate Strawn may publish in the future.
Co-authors
The 21 scholars most cited alongside Nate Strawn, 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 | 2013 | 37 | |
| 2 | 2017 | 18 | |
| 3 | 2014 | 16 | |
| 4 | 2014 | 15 | |
| 5 | Constructing finite frames of a given spectrum and set of lengths | 2016 | 14 |
| 6 | 2013 | 12 | |
| 7 | 2010 | 12 | |
| 8 | 2015 | 9 | |
| 9 | 2011 | 5 | |
| 10 | 2014 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2015 | 1 | |
| 15 | Dictionary Learning and Non-Asymptotic Bounds for Geometric Multi-Resolution Analysis | 2014 | 0 |
| 16 | 2015 | 0 |
About Nate Strawn
Nate Strawn is a scholar working on Computational Mechanics, Applied Mathematics, Computational Theory and Mathematics, Statistics and Probability and Geophysics, having authored 16 papers that have together received 148 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Mathematical Analysis and Transform Methods (6 papers), Statistical Methods and Inference (5 papers), Topological and Geometric Data Analysis (4 papers), Seismic Imaging and Inversion Techniques (3 papers), Nonlinear Waves and Solitons (2 papers), Soil Geostatistics and Mapping (2 papers) and Algebraic structures and combinatorial models (1 paper). The work is most often cited by research in Computational Mathematics (5 citations), Statistics and Probability (36 citations), Applied Mathematics (44 citations), Computational Theory and Mathematics (43 citations) and Computational Mechanics (33 citations). Nate Strawn has collaborated with scholars based in United States and South Korea. Frequent co-authors include Dustin G. Mixon, Jameson Cahill, A. Armağan, David B. Dunson, Jong‐Koo Lee, Mauro Maggioni, Stanislav Minsker, Waheed U. Bajwa, Matthew Fickus and Paul Bendich. Their work appears in journals such as Cytokine, Journal of Fourier Analysis and Applications, Applied and Computational Harmonic Analysis, Biometrika and Information and Inference A Journal of the IMA.
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.