Mark Lammers

407 total citations
16 papers, 197 citations indexed

About

Mark Lammers is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Lammers has authored 16 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Applied Mathematics, 11 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Lammers's work include Mathematical Analysis and Transform Methods (13 papers), Image and Signal Denoising Methods (10 papers) and Digital Filter Design and Implementation (9 papers). Mark Lammers is often cited by papers focused on Mathematical Analysis and Transform Methods (13 papers), Image and Signal Denoising Methods (10 papers) and Digital Filter Design and Implementation (9 papers). Mark Lammers collaborates with scholars based in United States, Canada and Germany. Mark Lammers's co-authors include Peter G. Casazza, Özgür Yılmaz, Gitta Kutyniok, Alexander M. Powell, C. Si̇nan Güntürk, Rayan Saab, Karlheinz Gröchenig, Richard G. Lynch, James E. Blum and Ole Christensen and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, IEEE Signal Processing Letters and Applied and Computational Harmonic Analysis.

In The Last Decade

Mark Lammers

16 papers receiving 190 citations

Peers

Mark Lammers

AM

CVPR

CM

SP

BE

Janet C. Tremain United States

Tim N.T. Goodman United Kingdom

H. G. Feichtinger Austria

Hong Oh Kim South Korea

J.-C. Pesquet France

Claire Boyer France

Giacomo Gigante Italy

M.J. Ibáñez Spain

Andreas Langer Germany

Janet C. Tremain United States

Mark Lammers

140 ×1.1

AM

52 ×0.6

CVPR

61 ×0.8

CM

50 ×0.8

SP

11 ×0.3

BE

Citations per year, relative to Mark Lammers Mark Lammers (= 1×) peers Janet C. Tremain

Countries citing papers authored by Mark Lammers

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Lammers

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lammers. A scholar is included among the top collaborators of Mark Lammers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Lammers. Mark Lammers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Lammers, Mark, et al.. (2021). Verifying phishmon. 185–189. 1 indexed citations

2.

Casazza, Peter G., et al.. (2016). Weaving frames. Operators and Matrices. 1093–1116. 35 indexed citations

3.

Lammers, Mark, et al.. (2015). The finite Balian-Low conjecture. 139–143. 2 indexed citations

4.

Lammers, Mark. (2014). The Finite Fractional Zak Transform. IEEE Signal Processing Letters. 21(9). 1064–1067. 2 indexed citations

5.

Güntürk, C. Si̇nan, et al.. (2012). Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements. Foundations of Computational Mathematics. 13(1). 1–36. 29 indexed citations

6.

Lammers, Mark, et al.. (2010). An uncertainty principle for finite frames. Journal of Mathematical Analysis and Applications. 373(1). 242–247. 4 indexed citations

7.

Güntürk, C. Si̇nan, et al.. (2010). Sigma delta quantization for compressed sensing. 1–6. 22 indexed citations

8.

Güntürk, C. Si̇nan, et al.. (2010). Sobolev duals of random frames. 1–5. 1 indexed citations

9.

Blum, James E., Mark Lammers, Alexander M. Powell, & Özgür Yılmaz. (2009). Sobolev Duals in Frame Theory and Sigma-Delta Quantization. Journal of Fourier Analysis and Applications. 16(3). 365–381. 23 indexed citations

10.

Lammers, Mark, Alexander M. Powell, & Özgür Yılmaz. (2008). Alternative dual frames for digital-to-analog conversion in sigma–delta quantization. Advances in Computational Mathematics. 32(1). 73–102. 19 indexed citations

11.

Lammers, Mark, Alexander M. Powell, & Özgür Yılmaz. (2007). On quantization of finite frame expansions: sigma-delta schemes of arbitrary order. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6701. 670108–670108. 3 indexed citations

12.

Casazza, Peter G., Gitta Kutyniok, & Mark Lammers. (2005). Duality principles, localization of frames, and Gabor theory. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5914. 591418–591418. 5 indexed citations

13.

Casazza, Peter G., Gitta Kutyniok, & Mark Lammers. (2004). Duality Principles in Frame Theory. Journal of Fourier Analysis and Applications. 10(4). 383–408. 41 indexed citations

14.

Casazza, Peter G. & Mark Lammers. (2002). Analyzing the Weyl–Heisenberg Frame Identity. Applied and Computational Harmonic Analysis. 12(2). 171–178. 4 indexed citations

15.

Casazza, Peter G., Ole Christensen, & Mark Lammers. (2002). Perturbations of Weyl-Heisenberg frames. Hokkaido Mathematical Journal. 31(3). 4 indexed citations

16.

Casazza, Peter G. & Mark Lammers. (2000). Classifying characteristic functions giving Weyl-Heisenberg frames. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4119. 142–142. 2 indexed citations

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.

Explore authors with similar magnitude of impact