G.F. Boudreaux-Bartels

4.3k total citations · 1 hit paper
72 papers, 2.9k citations indexed

About

G.F. Boudreaux-Bartels is a scholar working on Signal Processing, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, G.F. Boudreaux-Bartels has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Signal Processing, 41 papers in Control and Systems Engineering and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in G.F. Boudreaux-Bartels's work include Machine Fault Diagnosis Techniques (40 papers), Image and Signal Denoising Methods (36 papers) and Blind Source Separation Techniques (25 papers). G.F. Boudreaux-Bartels is often cited by papers focused on Machine Fault Diagnosis Techniques (40 papers), Image and Signal Denoising Methods (36 papers) and Blind Source Separation Techniques (25 papers). G.F. Boudreaux-Bartels collaborates with scholars based in United States, Austria and South Korea. G.F. Boudreaux-Bartels's co-authors include Franz Hlawatsch, S. Kadambe, Robin L. Murray, T.W. Parks, Olcay Akay, A. Papandreou, Antonia Papandreou‐Suppappola, Steven Kay, Richard J. Hartnett and Manuel Davy and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

G.F. Boudreaux-Bartels

69 papers receiving 2.7k citations

Hit Papers

Linear and quadratic time... 1992 2026 2003 2014 1992 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.F. Boudreaux-Bartels United States 19 1.1k 1000 893 444 376 72 2.9k
Olivier Rioul France 15 952 0.9× 1.8k 1.8× 548 0.6× 205 0.5× 298 0.8× 55 3.4k
John J. Soraghan United Kingdom 33 527 0.5× 936 0.9× 246 0.3× 243 0.5× 752 2.0× 304 3.8k
Igor Djurović Montenegro 32 1.2k 1.1× 1.2k 1.2× 1.3k 1.5× 78 0.2× 425 1.1× 203 4.3k
Franz Hlawatsch Austria 40 1.7k 1.6× 1.5k 1.5× 1.3k 1.4× 204 0.5× 394 1.0× 229 6.8k
D. Williamson Australia 20 977 0.9× 590 0.6× 1.1k 1.3× 112 0.3× 649 1.7× 74 4.8k
Bingo Wing‐Kuen Ling China 26 325 0.3× 694 0.7× 492 0.6× 151 0.3× 239 0.6× 305 2.5k
Ljubiša Stanković Montenegro 45 2.0k 1.8× 2.1k 2.1× 2.2k 2.4× 129 0.3× 1.1k 3.0× 286 6.8k
Abdel‐Ouahab Boudraa France 25 432 0.4× 670 0.7× 726 0.8× 165 0.4× 224 0.6× 99 2.4k
Shie Qian United States 15 435 0.4× 522 0.5× 558 0.6× 65 0.1× 331 0.9× 32 2.1k
Kjersti Engan Norway 19 1.3k 1.2× 1.7k 1.7× 138 0.2× 266 0.6× 832 2.2× 115 4.3k

Countries citing papers authored by G.F. Boudreaux-Bartels

Since Specialization
Citations

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

Fields of papers citing papers by G.F. Boudreaux-Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.F. Boudreaux-Bartels. 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 G.F. Boudreaux-Bartels. The network helps show where G.F. Boudreaux-Bartels may publish in the future.

Co-authorship network of co-authors of G.F. Boudreaux-Bartels

This figure shows the co-authorship network connecting the top 25 collaborators of G.F. Boudreaux-Bartels. A scholar is included among the top collaborators of G.F. Boudreaux-Bartels 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 G.F. Boudreaux-Bartels. G.F. Boudreaux-Bartels 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.
Boudreaux-Bartels, G.F., et al.. (2017). Using the Lambert-W Function to Create a New Class of Warped Time-Frequency Representations. Circuits Systems and Signal Processing. 37(8). 3191–3205. 1 indexed citations
2.
Boudreaux-Bartels, G.F., et al.. (2012). Automatic Seizure Detection in Rats Using Laplacian EEG and Verification with Human Seizure Signals. Annals of Biomedical Engineering. 41(3). 645–654. 27 indexed citations
3.
Boudreaux-Bartels, G.F. & T.W. Parks. (2005). Reducing aliasing in the Wigner distribution using implicit spline interpolation. 8. 1438–1441. 1 indexed citations
4.
Akay, Olcay & G.F. Boudreaux-Bartels. (2002). Linear fractionally invariant systems: fractional filtering and correlation via fractional operators. 2. 1494–1498. 1 indexed citations
5.
Papandreou‐Suppappola, Antonia, et al.. (2002). A wideband time-frequency Weyl symbol and its generalization. 29–32. 1 indexed citations
6.
Murray, Robin L., Antonia Papandreou‐Suppappola, & G.F. Boudreaux-Bartels. (2002). New time-frequency representations: higher order warped Wigner distributions. 1. 488–492. 1 indexed citations
7.
Boudreaux-Bartels, G.F., et al.. (2002). Improved accuracy in the singularity spectrum of multifractal chaotic time series. 3. 2377–2380. 4 indexed citations
8.
Boudreaux-Bartels, G.F., et al.. (2002). On application of two-dimensional AR modeling of Wigner distribution for efficient coding and effective filtering. International Conference on Acoustics, Speech, and Signal Processing. 2. 2463–2466. 1 indexed citations
9.
Boudreaux-Bartels, G.F.. (2002). On the use of operators versus warpings versus axiomatic definitions of new time-frequency (operator) representations. Journal of Media Literacy Education. 1. 36–40. 1 indexed citations
10.
Papandreou‐Suppappola, Antonia, et al.. (2002). Properties and implementation of the exponential class of time-frequency representations. 1. 237–241. 1 indexed citations
11.
Papandreou‐Suppappola, Antonia & G.F. Boudreaux-Bartels. (2002). The effect of mismatching analysis signals and time-frequency representations. 149–152. 3 indexed citations
12.
Akay, Olcay & G.F. Boudreaux-Bartels. (2002). Joint fractional representations. 417–420. 4 indexed citations
13.
Papandreou‐Suppappola, Antonia, et al.. (1999). New time-frequency symbol classification. 1345–1348 vol.3. 2 indexed citations
14.
Kadambe, S., Robin L. Murray, & G.F. Boudreaux-Bartels. (1999). Wavelet transform-based QRS complex detector. IEEE Transactions on Biomedical Engineering. 46(7). 838–848. 319 indexed citations
15.
Boudreaux-Bartels, G.F., et al.. (1999). An overview of aliasing errors in discrete-time formulations of time-frequency representations. IEEE Transactions on Signal Processing. 47(5). 1463–1474. 25 indexed citations
16.
Hartnett, Richard J. & G.F. Boudreaux-Bartels. (1993). On the use of cyclotomic polynomial prefilters for efficient FIR filter design. IEEE Transactions on Signal Processing. 41(5). 1766–1779. 29 indexed citations
17.
Hlawatsch, Franz, A. Papandreou, & G.F. Boudreaux-Bartels. (1993). Regularity and unitarity of affine and hyperbolic time-frequency representations. IEEE International Conference on Acoustics Speech and Signal Processing. 245–248 vol.3. 12 indexed citations
18.
Jackson, L., et al.. (1992). IIR filters with reduced multipliers using cyclotomic polynomial numerators. Journal of Media Literacy Education. 55. 321–324 vol.4. 2 indexed citations
19.
Kadambe, S. & G.F. Boudreaux-Bartels. (1992). Application of the wavelet transform for pitch detection of speech signals. IEEE Transactions on Information Theory. 38(2). 917–924. 210 indexed citations
20.
Vaccaro, R.J., D.W. Tufts, & G.F. Boudreaux-Bartels. (1989). Advances in principal component signal processing. 115–146. 7 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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