Christopher M. Brislawn

942 total citations
29 papers, 494 citations indexed

About

Christopher M. Brislawn is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics. According to data from OpenAlex, Christopher M. Brislawn has authored 29 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Signal Processing and 4 papers in Applied Mathematics. Recurrent topics in Christopher M. Brislawn's work include Advanced Data Compression Techniques (24 papers), Image and Signal Denoising Methods (23 papers) and Digital Filter Design and Implementation (15 papers). Christopher M. Brislawn is often cited by papers focused on Advanced Data Compression Techniques (24 papers), Image and Signal Denoising Methods (23 papers) and Digital Filter Design and Implementation (15 papers). Christopher M. Brislawn collaborates with scholars based in United States, Belgium and Netherlands. Christopher M. Brislawn's co-authors include J.N. Bradley, Brendt Wohlberg, Susan M. Mniszewski, Jonathan Woodring, James Ahrens, Adrian Munteanu, Peter Schelkens, Allon G. Percus, Joeri Barbarien and Jan Cornelis and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Physica D Nonlinear Phenomena.

In The Last Decade

Christopher M. Brislawn

25 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher M. Brislawn United States 12 406 190 73 45 37 29 494
J. Liao United States 5 451 1.1× 208 1.1× 97 1.3× 16 0.4× 19 0.5× 8 518
Peter Wendt United States 4 388 1.0× 150 0.8× 75 1.0× 18 0.4× 126 3.4× 6 546
Elena Alshina Germany 14 671 1.7× 532 2.8× 31 0.4× 18 0.4× 15 0.4× 44 802
Michael D. Adams Canada 11 346 0.9× 163 0.9× 34 0.5× 10 0.2× 45 1.2× 51 468
M. Kim United States 6 169 0.4× 73 0.4× 18 0.2× 37 0.8× 32 0.9× 7 321
Fure-Ching Jeng United States 7 216 0.5× 55 0.3× 65 0.9× 11 0.2× 55 1.5× 13 290
Basarab Mateï France 10 180 0.4× 39 0.2× 48 0.7× 55 1.2× 60 1.6× 44 362
Ching-Min Cheng Taiwan 7 203 0.5× 39 0.2× 49 0.7× 37 0.8× 19 0.5× 18 293
Bruno Cernuschi-Frías Argentina 9 152 0.4× 32 0.2× 25 0.3× 8 0.2× 41 1.1× 61 275
Béatrice Pesquet‐Popescu France 16 732 1.8× 423 2.2× 101 1.4× 11 0.2× 30 0.8× 68 826

Countries citing papers authored by Christopher M. Brislawn

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Brislawn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Brislawn. 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 Christopher M. Brislawn. The network helps show where Christopher M. Brislawn may publish in the future.

Co-authorship network of co-authors of Christopher M. Brislawn

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Brislawn. A scholar is included among the top collaborators of Christopher M. Brislawn 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 Christopher M. Brislawn. Christopher M. Brislawn 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.
Brislawn, Christopher M.. (2013). Group-Theoretic Structure of Linear Phase Multirate Filter Banks. IEEE Transactions on Information Theory. 59(9). 5842–5859.
2.
Brislawn, Christopher M.. (2010). Group Lifting Structures for Multirate Filter Banks II: Linear Phase Filter Banks. IEEE Transactions on Signal Processing. 58(4). 2078–2087. 4 indexed citations
3.
Wohlberg, Brendt & Christopher M. Brislawn. (2007). Symmetric extension for lifted filter banks and obstructions to reversible implementation. Signal Processing. 88(1). 131–145. 5 indexed citations
4.
Brislawn, Christopher M.. (2007). Equivalence of Symmetric Pre-Extension and Lifting Step Extension in the JPEG 2000 Standard. Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers. 2847. 2105–2109. 1 indexed citations
5.
Brislawn, Christopher M. & Brendt Wohlberg. (2006). Gain normalization of lifted filter banks. Signal Processing. 87(6). 1281–1287. 3 indexed citations
6.
Brislawn, Christopher M. & Brendt Wohlberg. (2006). The polyphase-with-advance representation and linear phase lifting factorizations. IEEE Transactions on Signal Processing. 54(6). 2022–2034. 12 indexed citations
7.
Brislawn, Christopher M., et al.. (2003). Subband coding of RF signals in reconfigurable computing hardware. 2. 1135–1138.
8.
Bradley, J.N., Christopher M. Brislawn, & Vance Faber. (2003). Reflected boundary conditions for multirate filter banks. 307–310. 2 indexed citations
9.
Wohlberg, Brendt & Christopher M. Brislawn. (2003). <title>Reversible integer-to-integer transforms and symmetric extension of even-length filter banks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5150. 1709–1718. 3 indexed citations
10.
Brislawn, Christopher M., et al.. (2003). Feature extraction from hyperspectral images compressed using the JPEG-2000 standard. 168–172. 21 indexed citations
11.
Bradley, J.N. & Christopher M. Brislawn. (2002). The wavelet/scalar quantization compression standard for digital fingerprint images. 3. 205–208. 19 indexed citations
12.
Bradley, J.N. & Christopher M. Brislawn. (2002). Wavelet transform-vector quantization compression of supercomputer ocean models. 37. 224–233. 2 indexed citations
13.
Brislawn, Christopher M.. (2002). A simple lattice architecture for even-order linear phase perfect reconstruction filter banks. 124–127. 3 indexed citations
14.
Brislawn, Christopher M.. (1996). Classification of Nonexpansive Symmetric Extension Transforms for Multirate Filter Banks. Applied and Computational Harmonic Analysis. 3(4). 337–357. 88 indexed citations
15.
Brislawn, Christopher M., et al.. (1996). <title>FBI compression standard for digitized fingerprint images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2847. 344–355. 36 indexed citations
16.
Brislawn, Christopher M.. (1995). Preservation of subband symmetry in multirate signal coding. IEEE Transactions on Signal Processing. 43(12). 3046–3050. 41 indexed citations
17.
Bradley, J.N., et al.. (1993). The FBI wavelet/scalar quantization standard for gray-scale fingerprint image compression. University of North Texas Digital Library (University of North Texas). 25 indexed citations
18.
Bradley, J.N. & Christopher M. Brislawn. (1993). Proposed first-generation WSQ bit allocation procedure. University of North Texas Digital Library (University of North Texas). 16 indexed citations
19.
Bradley, J.N. & Christopher M. Brislawn. (1992). Image compression by vector quantization of multiresolution decompositions. Physica D Nonlinear Phenomena. 60(1-4). 245–258. 5 indexed citations
20.
Brislawn, Christopher M.. (1991). Traceable integral kernels on countably generated measure spaces. Pacific Journal of Mathematics. 150(2). 229–240. 30 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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