Bernhard G. Bodmann

1.4k total citations
57 papers, 705 citations indexed

About

Bernhard G. Bodmann is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Bernhard G. Bodmann has authored 57 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Applied Mathematics, 22 papers in Computer Vision and Pattern Recognition and 18 papers in Signal Processing. Recurrent topics in Bernhard G. Bodmann's work include Mathematical Analysis and Transform Methods (30 papers), Image and Signal Denoising Methods (18 papers) and Digital Filter Design and Implementation (17 papers). Bernhard G. Bodmann is often cited by papers focused on Mathematical Analysis and Transform Methods (30 papers), Image and Signal Denoising Methods (18 papers) and Digital Filter Design and Implementation (17 papers). Bernhard G. Bodmann collaborates with scholars based in United States, Canada and Germany. Bernhard G. Bodmann's co-authors include Vern I. Paulsen, Peter G. Casazza, Radu Bălan, Dan Edidin, Donald J. Kouri, Gitta Kutyniok, Mark Tomforde, Pankaj K. Singh, David W. Kribs and Christopher L. Liner and has published in prestigious journals such as Journal of Neurophysiology, IEEE Transactions on Information Theory and Geophysics.

In The Last Decade

Bernhard G. Bodmann

51 papers receiving 655 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernhard G. Bodmann United States 14 380 266 162 137 123 57 705
Matthew Fickus United States 16 412 1.1× 314 1.2× 254 1.6× 33 0.2× 146 1.2× 53 824
Dan Edidin United States 14 166 0.4× 302 1.1× 131 0.8× 394 2.9× 39 0.3× 48 1.2k
Wayne Lawton Singapore 14 350 0.9× 455 1.7× 162 1.0× 17 0.1× 165 1.3× 45 794
Philippe Jaming France 13 373 1.0× 208 0.8× 42 0.3× 59 0.4× 91 0.7× 49 579
John J. Healy Ireland 17 473 1.2× 646 2.4× 61 0.4× 83 0.6× 315 2.6× 87 1.1k
Gabriele Steidl Germany 16 59 0.2× 486 1.8× 200 1.2× 16 0.1× 75 0.6× 36 820
Deguang Han United States 24 1.7k 4.5× 651 2.4× 279 1.7× 38 0.3× 366 3.0× 106 1.9k
Martin J. Bastiaans Netherlands 20 354 0.9× 484 1.8× 59 0.4× 69 0.5× 247 2.0× 66 1.4k
Eric Weber United States 11 1.1k 2.8× 521 2.0× 277 1.7× 9 0.1× 277 2.3× 33 1.3k
M.J. Bastiaans Netherlands 14 304 0.8× 529 2.0× 81 0.5× 40 0.3× 253 2.1× 37 1.4k

Countries citing papers authored by Bernhard G. Bodmann

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard G. Bodmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard G. Bodmann. 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 Bernhard G. Bodmann. The network helps show where Bernhard G. Bodmann may publish in the future.

Co-authorship network of co-authors of Bernhard G. Bodmann

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard G. Bodmann. A scholar is included among the top collaborators of Bernhard G. Bodmann 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 Bernhard G. Bodmann. Bernhard G. Bodmann 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.
Bodmann, Bernhard G., et al.. (2019). Smooth projections and the construction of smooth Parseval frames of shearlets. Advances in Computational Mathematics. 45(5-6). 3241–3264. 1 indexed citations
2.
Kouri, Donald J., et al.. (2018). Point Transformations and Relationships among Linear Anomalous Diffusion, Normal Diffusion and the Central Limit Theorem. Applied Mathematics. 9(2). 178–197. 1 indexed citations
3.
Bodmann, Bernhard G., et al.. (2017). Maximal orthoplectic fusion frames from mutually unbiased bases and block designs. Proceedings of the American Mathematical Society. 146(6). 2601–2616. 2 indexed citations
4.
Bodmann, Bernhard G., et al.. (2016). Fourier and Beyond: Invariance Properties of a Family of Integral Transforms. Journal of Fourier Analysis and Applications. 23(3). 660–678. 3 indexed citations
5.
Bodmann, Bernhard G., Gitta Kutyniok, & Xiaosheng Zhuang. (2014). Gabor shearlets. Applied and Computational Harmonic Analysis. 38(1). 87–114. 12 indexed citations
6.
Bodmann, Bernhard G., et al.. (2014). Stable phase retrieval with low-redundancy frames. Advances in Computational Mathematics. 41(2). 317–331. 70 indexed citations
7.
Bodmann, Bernhard G., Peter G. Casazza, Vern I. Paulsen, & Darrin Speegle. (2011). Spanning and independence properties of frame partitions. Proceedings of the American Mathematical Society. 140(7). 2193–2207. 5 indexed citations
8.
Liner, Christopher L. & Bernhard G. Bodmann. (2010). The Wolf ramp: Reflection characteristics of a transition layer. Geophysics. 75(5). A31–A35. 11 indexed citations
9.
Bodmann, Bernhard G., et al.. (2010). Complex equiangular Parseval frames and Seidel matrices containing 𝑝th roots of unity. Proceedings of the American Mathematical Society. 138(12). 4387–4404. 9 indexed citations
10.
Bodmann, Bernhard G., Peter G. Casazza, & Gitta Kutyniok. (2010). A quantitative notion of redundancy for finite frames. Applied and Computational Harmonic Analysis. 30(3). 348–362. 13 indexed citations
11.
Bodmann, Bernhard G. & Peter G. Casazza. (2009). The road to equal-norm Parseval frames. Journal of Functional Analysis. 258(2). 397–420. 27 indexed citations
12.
Kouri, Donald J., Thomas Markovich, Nicholas Maxwell, & Bernhard G. Bodmann. (2009). The Heisenberg−Weyl Algebra on the Circle and a Related Quantum Mechanical Model for Hindered Rotation. The Journal of Physical Chemistry A. 113(26). 7698–7705. 4 indexed citations
13.
Bodmann, Bernhard G. & Stanley P. Lipshitz. (2008). Randomly dithered quantization and sigma–delta noise shaping for finite frames. Applied and Computational Harmonic Analysis. 25(3). 367–380. 6 indexed citations
14.
Bodmann, Bernhard G., Vern I. Paulsen, & Mark Tomforde. (2008). Equiangular tight frames from complex Seidel matrices containing cube roots of unity. Linear Algebra and its Applications. 430(1). 396–417. 28 indexed citations
15.
Bodmann, Bernhard G., Manos Papadakis, Donald J. Kouri, et al.. (2007). Quantification of Roughness of Calcific Deposits in Computed Tomography Scans of Human Coronary Arteries. Investigative Radiology. 42(11). 771–776. 1 indexed citations
16.
Lipshitz, Stanley P., John Vanderkooy, & Bernhard G. Bodmann. (2007). Sigma-Delta Modulators Without Feedback Around the Quantizer?. Journal of the Audio Engineering Society. 2 indexed citations
17.
Bodmann, Bernhard G. & Vern I. Paulsen. (2006). Frame paths and error bounds for sigma–delta quantization. Applied and Computational Harmonic Analysis. 22(2). 176–197. 35 indexed citations
18.
Bodmann, Bernhard G., Manos Papadakis, & Qiyu Sun. (2006). An Inhomogeneous Uncertainty Principle for Digital Low-Pass Filters. Journal of Fourier Analysis and Applications. 12(2). 181–211. 2 indexed citations
19.
Bodmann, Bernhard G.. (2006). Optimal linear transmission by loss-insensitive packet encoding. Applied and Computational Harmonic Analysis. 22(3). 274–285. 69 indexed citations
20.
Bodmann, Bernhard G. & Vern I. Paulsen. (2005). Frames, graphs and erasures. Linear Algebra and its Applications. 404. 118–146. 105 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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