G.F. Boudreaux-Bartels

69 papers receiving 2.7k citations

Hit Papers

Linear and quadratic time-frequency signal representations199220262003201419924008001.2k

Peers

G.F. Boudreaux-Bartels
Comparison fields: 5 of 102
  • Signal Processing 1.1k
  • Computer Vision and Pattern Recognition 1000
  • Control and Systems Engineering 893
  • Cardiology and Cardiovascular Medicine 444
  • Biomedical Engineering 376
Replace Olivier Rioul with:
Olivier Rioul France
Franz Hlawatsch Austria
Igor Djurović Montenegro
D. Williamson Australia
John J. Soraghan United Kingdom
Ljubiša Stanković Montenegro
Shie Qian United States
Albert H. Nuttall United States
Abdel‐Ouahab Boudraa France
Karim Abed‐Meraim France
G.F. Boudreaux-Bartels relative to Olivier Rioul France Olivier Rioul's profile →
Citations per field
00.5×1.5×2.2×
Olivier Rioul · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 27
3 4
4 1
5 1
6 1
7 4
8 1
9 1
10 3
11 4
12 17
13 3
14 1
15 319
16 2
17 29
18 210
19 2
20
Advances in principal component signal processing
7

About G.F. Boudreaux-Bartels

G.F. Boudreaux-Bartels is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (40 papers), Image and Signal Denoising Methods (36 papers) and Blind Source Separation Techniques (25 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (1000 citations) and Control and Systems Engineering (893 citations). G.F. Boudreaux-Bartels has collaborated with scholars based in United States, Austria and South Korea. Frequent 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. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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