Michael Strauss
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
- Data Management and Algorithms
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Blind Source Separation Techniques 8
- Co-authors
- Anna C. GilbertJoel A. TroppS. MuthukrishnanPiotr IndykHoward KarloffRadu BerindeRoman VershyninSuvajyoti Guha
- Journals
- Integral Equations and Operator Theory (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Signal Processing Magazine (1 paper)Journal of Functional Analysis (1 paper)BIT Numerical Mathematics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Strauss
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Signal Processing 426
- Computational Mechanics 770
- Acoustics and Ultrasonics 13
- Computer Vision and Pattern Recognition 248
- Computer Networks and Communications 275
Countries citing papers authored by Michael Strauss
This map shows the geographic impact of Michael Strauss'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 Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Strauss more than expected).
Fields of papers citing papers by Michael Strauss
This network shows the impact of papers produced by Michael Strauss. 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 Strauss. The network helps show where Michael Strauss may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Michael Strauss, 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 | 2017 | 2 | |
| 2 | 2016 | 1 | |
| 3 | 2012 | 6 | |
| 4 | 2010 | 0 | |
| 5 | 2009 | 7 | |
| 6 | 2008 | 227 | |
| 7 | 2008 | 71 | |
| 8 | 2007 | 152 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 14 | |
| 11 | 2006 | 198 | |
| 12 | 2005 | 10 | |
| 13 | 2005 | 6 | |
| 14 | 2005 | 111 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 75 | |
| 17 | 2002 | 4 | |
| 18 | 2002 | 6 | |
| 19 | Testing and spot-checking of data streams | 2000 | 15 |
| 20 | An Approximate L p -Difference Algorithm for Massive Data Streams | 1999 | 2 |
About Michael Strauss
Michael Strauss is a scholar working on Signal Processing, Acoustics and Ultrasonics, Mathematical Physics, Computational Theory and Mathematics and Computational Mechanics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Blind Source Separation Techniques (8 papers), Spectral Theory in Mathematical Physics (7 papers), Matrix Theory and Algorithms (6 papers), Image and Signal Denoising Methods (5 papers), Algorithms and Data Compression (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Signal Processing (426 citations), Computational Mechanics (770 citations), Acoustics and Ultrasonics (13 citations), Computer Vision and Pattern Recognition (248 citations) and Computer Networks and Communications (275 citations). Michael Strauss has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anna C. Gilbert, Joel A. Tropp, S. Muthukrishnan, Piotr Indyk, Howard Karloff, Radu Berinde, Roman Vershynin, Suvajyoti Guha, S. Muthukrishnan and Yannis Kotidis. Their work appears in journals such as Integral Equations and Operator Theory, IEEE Transactions on Knowledge and Data Engineering, IEEE Signal Processing Magazine, Journal of Functional Analysis and BIT Numerical Mathematics.
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.