A. Großmann

39 papers receiving 6.4k citations

A. Großmann's Hit Papers

Painless nonorthogonal expansions 1986 · 785 citations
7850+14+28Years since publication50010001.5k2.0k2.5k

Peers

A. Großmann
Comparison fields: 5 of 175
  • Applied Mathematics 1.6k
  • Computer Vision and Pattern Recognition 2.3k
  • Geophysics 964
  • Signal Processing 817
  • Media Technology 427
Replace J. Morlet with:
J. Morlet France
Charles K. Chui United States
А. Н. Тихонов Russia
Gabriel Peyré France
M. Holschneider Germany
Donald B. Percival United States
Patrick Flandrin France
J.W. Cooley United States
John B. Bell United States
R. N. Bracewell United States
A. Großmann relative to J. Morlet France J. Morlet's profile →
Citations per field
00.5×1.5×
J. Morlet · 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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape
Hit paper breakdown →
19842765
2
Cycle-octave and related transforms in seismic signal analysis
Hit paper breakdown →
19841171
3
Painless nonorthogonal expansions
Hit paper breakdown →
1986785
4 1987492
5 1985316
6 1990259
7 1989147
8 1976146
9 1985132
10 201985
11 198884
12 201859
13 198055
14 198954
15 201941
16 196437
17 198034
18 202134
19 197633
20 198322

About A. Großmann

A. Großmann is a scholar working on Mechanical Engineering, Automotive Engineering, Applied Mathematics, Mathematical Physics and Atomic and Molecular Physics, and Optics, having authored 39 papers that have together received 7.0k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (11 papers), Additive Manufacturing Materials and Processes (8 papers), Cellular and Composite Structures (6 papers), Image and Signal Denoising Methods (5 papers), Seismic Imaging and Inversion Techniques (4 papers), Algebraic and Geometric Analysis (3 papers), Manufacturing Process and Optimization (3 papers) and Quantum Mechanics and Non-Hermitian Physics (3 papers). The work is most often cited by research in Applied Mathematics (1.6k citations), Computer Vision and Pattern Recognition (2.3k citations), Geophysics (964 citations), Signal Processing (817 citations) and Media Technology (427 citations). A. Großmann has collaborated with scholars based in France, Germany and United States. Frequent co-authors include J. Morlet, Pierre L. Goupillaud, Richard Kronland-Martinet, Yves Meyer, Tanmoy Paul, Christian Mittelstedt, Ingrid Daubechies, Philippe Tchamitchian, Raphael H�egh-Krohn and J. M. Combes. Their work appears in journals such as Materials & Design, Additive manufacturing, Communications in Mathematical Physics, IMA Journal of Numerical Analysis and Applied and Computational Harmonic Analysis.

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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