A. Grossmann

2.1k citations
9 papers · 644 · h-index 7

Impact in

Papers in

A. Grossmann

9 papers receiving 608 citations

Peers

A. Grossmann
Comparison fields: 5 of 116
  • Applied Mathematics 156
  • Computer Vision and Pattern Recognition 250
  • Signal Processing 83
  • Media Technology 65
  • Geophysics 87
Replace Gerald Kaiser with:
Gerald Kaiser United States
Daniel P. Petersen United States
G. Demoment France
Jean‐Michel Combes France
Dennis M. Healy United States
Leland Jameson United States
Gilbert G. Walter United States
Peter J. Kostelec United States
K. G. Beauchamp United Kingdom
B. Escudié France
A. Grossmann relative to Gerald Kaiser United States Gerald Kaiser's profile →
Citations per field
00.5×2.8×
Gerald Kaiser · 1×
Citations per year

Countries citing papers authored by A. Grossmann

Since Specialization
Citations

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

Fields of papers citing papers by A. Grossmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside A. Grossmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Grossmann Line = papers co-authored together A. Grossmann links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1989310
2 2007138
3
Transforms associated to square integrable group representations. II : examples
198661
4
Detection of abrupt changes in sound signals with the help of wavelet transforms
198750
5 199430
6 196626
7 199020
8
TRANSFORMS ASSOCIATED TO SQUARE INTEGRABLE GROUP REPRESENTATION. 2. EXAMPLES
19866
9
Application of the Wavelet Transform to the Analysis, Transformation and Synthesis of Musical Sounds
19883

About A. Grossmann

A. Grossmann is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Signal Processing, Applied Mathematics and Molecular Biology, having authored 9 papers that have together received 644 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Digital Filter Design and Implementation (1 paper), Music and Audio Processing (1 paper), Algebraic and Geometric Analysis (1 paper), Flow Measurement and Analysis (1 paper), Advanced Algebra and Geometry (1 paper), Machine Fault Diagnosis Techniques (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Applied Mathematics (156 citations), Computer Vision and Pattern Recognition (250 citations), Signal Processing (83 citations), Media Technology (65 citations) and Geophysics (87 citations). A. Grossmann has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jean‐Michel Combes, Philippe Tchamitchian, J. Morlet, M. Holschneider, Claudine Devauchelle, Ivan Laprevotte, Ming Zhang, Gilles Didier, Tanmoy Paul and Maude Pupin. Their work appears in journals such as Journal of the Audio Engineering Society, Communications in Mathematical Physics, BMC Bioinformatics, Applied and Computational Harmonic Analysis and French digital mathematics library (Numdam).

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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