Mark Lammers
Impact in
- Applied Mathematics top 5%
- Mathematical Analysis and Transform Methods
- Signal Processing top 10%
- Digital Filter Design and Implementation
- Blind Source Separation Techniques
Papers in
-
- Mathematical Analysis and Transform Methods 14
- Algebraic and Geometric Analysis 2
-
- Digital Filter Design and Implementation 9
- Advanced Malware Detection Techniques 1
- Co-authors
- Peter G. Casazza (7 shared papers)Özgür Yılmaz (6 shared papers)Alexander M. Powell (4 shared papers)Gitta Kutyniok (2 shared papers)C. Si̇nan Güntürk (3 shared papers)Rayan Saab (3 shared papers)Karlheinz Gröchenig (1 shared paper)James E. Blum (1 shared paper)
- Journals
- Journal of Fourier Analysis and Applications (2 papers)Advances in Computational Mathematics (1 paper)Applied and Computational Harmonic Analysis (1 paper)IEEE Signal Processing Letters (1 paper)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mark Lammers
17 papers receiving 230 citations
Peers
Comparison fields: 5 of 33
- Applied Mathematics 163
- Signal Processing 77
- Computer Vision and Pattern Recognition 107
- Computational Mechanics 96
- Mathematical Physics 32
Countries citing papers authored by Mark Lammers
This map shows the geographic impact of Mark Lammers'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 Mark Lammers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lammers more than expected).
Fields of papers citing papers by Mark Lammers
This network shows the impact of papers produced by Mark Lammers. 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 Mark Lammers. The network helps show where Mark Lammers may publish in the future.
Co-authors
The 11 scholars most cited alongside Mark Lammers, 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 | 2004 | 43 | |
| 2 | 2016 | 36 | |
| 3 | 2012 | 35 | |
| 4 | 2009 | 29 | |
| 5 | 2008 | 27 | |
| 6 | 2010 | 27 | |
| 7 | 2003 | 10 | |
| 8 | 2010 | 6 | |
| 9 | 2002 | 5 | |
| 10 | 2002 | 5 | |
| 11 | 2005 | 5 | |
| 12 | 2007 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2000 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2015 | 2 |
About Mark Lammers
Mark Lammers is a scholar working on Applied Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Mathematical Physics, having authored 17 papers that have together received 241 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (14 papers), Image and Signal Denoising Methods (10 papers), Digital Filter Design and Implementation (9 papers), Sparse and Compressive Sensing Techniques (3 papers), Algebraic and Geometric Analysis (2 papers), Spam and Phishing Detection (1 paper), Network Security and Intrusion Detection (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Applied Mathematics (163 citations), Signal Processing (77 citations), Computer Vision and Pattern Recognition (107 citations), Computational Mechanics (96 citations) and Mathematical Physics (32 citations). Mark Lammers has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter G. Casazza, Özgür Yılmaz, Alexander M. Powell, Gitta Kutyniok, C. Si̇nan Güntürk, Rayan Saab, Karlheinz Gröchenig, James E. Blum, Richard G. Lynch and Ole Christensen. Their work appears in journals such as Journal of Fourier Analysis and Applications, Advances in Computational Mathematics, Applied and Computational Harmonic Analysis, IEEE Signal Processing Letters and Journal of Mathematical Analysis and Applications.
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.