Thomas Strohmer

12.8k total citations · 6 hit papers
98 papers, 7.6k citations indexed

About

Thomas Strohmer is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Thomas Strohmer has authored 98 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Mechanics, 30 papers in Computer Vision and Pattern Recognition and 30 papers in Applied Mathematics. Recurrent topics in Thomas Strohmer's work include Mathematical Analysis and Transform Methods (28 papers), Sparse and Compressive Sensing Techniques (27 papers) and Image and Signal Denoising Methods (24 papers). Thomas Strohmer is often cited by papers focused on Mathematical Analysis and Transform Methods (28 papers), Sparse and Compressive Sensing Techniques (27 papers) and Image and Signal Denoising Methods (24 papers). Thomas Strohmer collaborates with scholars based in United States, Austria and Germany. Thomas Strohmer's co-authors include Robert W. Heath, M.A. Herman, David J. Love, Hans G. Feichtinger, Vladislav Voroninski, Emmanuel J. Candès, Roman Vershynin, Shuyang Ling, Joel A. Tropp and Inderjit S. Dhillon and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Thomas Strohmer

94 papers receiving 7.2k citations

Hit Papers

Grassmannian beamforming ... 2003 2026 2010 2018 2003 2009 2012 2003 2008 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Strohmer 2.8k 2.7k 1.7k 1.5k 1.4k 98 7.6k
Justin Romberg 1.3k 0.5× 4.2k 1.5× 2.4k 1.4× 592 0.4× 2.0k 1.4× 138 7.4k
Roman Vershynin 1.0k 0.4× 3.6k 1.3× 1.1k 0.6× 642 0.4× 1.5k 1.1× 66 6.4k
Mark A. Davenport 1.6k 0.6× 4.9k 1.8× 1.8k 1.0× 880 0.6× 2.8k 2.0× 82 7.9k
Justin Romberg 3.0k 1.1× 10.6k 3.9× 3.6k 2.1× 1.3k 0.9× 5.8k 4.2× 37 14.9k
Marco F. Duarte 2.4k 0.8× 5.5k 2.0× 2.0k 1.1× 1.1k 0.7× 3.2k 2.3× 97 9.2k
Gitta Kutyniok 854 0.3× 2.6k 0.9× 2.1k 1.2× 400 0.3× 1.2k 0.9× 129 5.9k
James H. McClellan 1.3k 0.5× 2.0k 0.7× 1.7k 1.0× 252 0.2× 1.4k 1.0× 282 7.0k
Vivek K Goyal 1.4k 0.5× 1.3k 0.5× 2.7k 1.6× 1.2k 0.8× 1.1k 0.8× 211 8.0k
Anna C. Gilbert 3.0k 1.1× 6.6k 2.4× 2.6k 1.5× 2.4k 1.6× 3.2k 2.3× 85 12.0k
D. Slepian 4.1k 1.5× 905 0.3× 2.4k 1.4× 2.6k 1.7× 716 0.5× 51 9.7k

Countries citing papers authored by Thomas Strohmer

Since Specialization
Citations

This map shows the geographic impact of Thomas Strohmer'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 Thomas Strohmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Strohmer more than expected).

Fields of papers citing papers by Thomas Strohmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Strohmer. 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 Thomas Strohmer. The network helps show where Thomas Strohmer may publish in the future.

Co-authorship network of co-authors of Thomas Strohmer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Strohmer. A scholar is included among the top collaborators of Thomas Strohmer 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 Thomas Strohmer. Thomas Strohmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Strohmer, Thomas, et al.. (2024). Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold. PubMed. 3(1). 64–106.
2.
Strohmer, Thomas, et al.. (2024). Private measures, random walks, and synthetic data. Probability Theory and Related Fields. 189(1-2). 569–611. 1 indexed citations
3.
Li, Xiaodong, et al.. (2018). When do birds of a feather flock together? k-Means, proximity, and conic programming. Mathematical Programming. 179(1-2). 295–341. 13 indexed citations
4.
Li, Xiaodong, Shuyang Ling, Thomas Strohmer, & Ke Wei. (2018). Rapid, robust, and reliable blind deconvolution via nonconvex optimization. Applied and Computational Harmonic Analysis. 47(3). 893–934. 67 indexed citations
5.
Duncan, Dominique & Thomas Strohmer. (2016). Classification of Alzheimer's disease using unsupervised diffusion component analysis. Mathematical Biosciences & Engineering. 13(6). 1119–1130. 3 indexed citations
6.
Candès, Emmanuel J., Thomas Strohmer, & Vladislav Voroninski. (2012). PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming. Communications on Pure and Applied Mathematics. 66(8). 1241–1274. 646 indexed citations breakdown →
7.
Strohmer, Thomas, et al.. (2008). Wiener’s Lemma for the Heisenberg Group and a Class of Pseudodifferential Operators. 1 indexed citations
8.
Strohmer, Thomas. (2008). A note on equiangular tight frames. Linear Algebra and its Applications. 429(1). 326–330. 26 indexed citations
9.
Christensen, Ole & Thomas Strohmer. (2005). The finite section method and problems in frame theory. Journal of Approximation Theory. 133(2). 221–237. 32 indexed citations
10.
Strohmer, Thomas. (2005). Pseudodifferential operators and Banach algebras in mobile communications. Applied and Computational Harmonic Analysis. 20(2). 237–249. 39 indexed citations
11.
Strohmer, Thomas, et al.. (2004). Fast scattered data approximation with Neumann and other boundary conditions. Linear Algebra and its Applications. 391. 99–123. 8 indexed citations
12.
Feichtinger, Hans G. & Thomas Strohmer. (2003). Advances in Gabor Analysis. Birkhäuser Boston eBooks. 215 indexed citations
13.
Kutyniok, Gitta & Thomas Strohmer. (2003). (Non-)existence of Wilson bases for general time-frequency lattices. arXiv (Cornell University). 1 indexed citations
14.
Strohmer, Thomas & Robert W. Heath. (2003). Grassmannian frames with applications to coding and communication. Applied and Computational Harmonic Analysis. 14(3). 257–275. 561 indexed citations breakdown →
15.
Janssen, A. J. E. M. & Thomas Strohmer. (2002). Hyperbolic Secants Yield Gabor Frames. Applied and Computational Harmonic Analysis. 12(2). 259–267. 42 indexed citations
16.
Strohmer, Thomas. (2002). Four short stories about Toeplitz matrix calculations. Linear Algebra and its Applications. 343-344. 321–344. 44 indexed citations
17.
Strohmer, Thomas. (2001). Approximation of Dual Gabor Frames, Window Decay, and Wireless Communications. Applied and Computational Harmonic Analysis. 11(2). 243–262. 65 indexed citations
18.
Strohmer, Thomas, et al.. (1998). Smooth approximation of potential fields from noisy scattered data. Geophysics. 63(1). 85–94. 24 indexed citations
19.
Feichtinger, Hans G. & Thomas Strohmer. (1997). Gabor Analysis and Algorithms: Theory and Applications. CERN Document Server (European Organization for Nuclear Research). 427 indexed citations
20.
Strohmer, Thomas. (1997). Computationally attractive reconstruction of bandlimited images from irregular samples. IEEE Transactions on Image Processing. 6(4). 540–548. 75 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.

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