Carlos Cabrelli
- Applied Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Mathematical Physics top 5%
- Computational Mechanics top 10%
- Signal Processing top 5%
- Co-authors
- Ursula MolterAkram AldroubiChristopher HeilRonald W. ShonkwilerEdward R. VrscayBruno ForteKathryn E. HareSui Tang
- Topics
- Mathematical Analysis and Transform Methods (30 papers)Image and Signal Denoising Methods (16 papers)Mathematical Dynamics and Fractals (12 papers)
- Partner nations
- ArgentinaUnited StatesCanada
In The Last Decade
Carlos Cabrelli
49 papers receiving 743 citations
Peers
Comparison fields: 5 of 87
- Applied Mathematics 326
- Computer Vision and Pattern Recognition 277
- Mathematical Physics 202
- Computational Mechanics 145
- Signal Processing 104
Countries citing papers authored by Carlos Cabrelli
This map shows the geographic impact of Carlos Cabrelli'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 Carlos Cabrelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Cabrelli more than expected).
Fields of papers citing papers by Carlos Cabrelli
This network shows the impact of papers produced by Carlos Cabrelli. 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 Carlos Cabrelli. The network helps show where Carlos Cabrelli may publish in the future.
Co-authorship network of co-authors of Carlos Cabrelli
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Cabrelli. A scholar is included among the top collaborators of Carlos Cabrelli 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 Carlos Cabrelli. Carlos Cabrelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 34 | |
| 6 | Multi-tiling sets, Riesz bases, and sampling near the critical density in LCA groups | 8 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | Optimal non-linear models | 2 |
| 11 | 42 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 62 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 51 | |
| 18 | 22 | |
| 19 | 49 | |
| 20 | 84 |
About Carlos Cabrelli
Carlos Cabrelli is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 794 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (30 papers), Image and Signal Denoising Methods (16 papers) and Mathematical Dynamics and Fractals (12 papers). The work is most often cited by research in Applied Mathematics (326 citations), Mathematical Physics (202 citations) and Computer Vision and Pattern Recognition (277 citations). Carlos Cabrelli has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Ursula Molter, Akram Aldroubi, Christopher Heil, Ronald W. Shonkwiler, Edward R. Vrscay, Bruno Forte, Kathryn E. Hare, Sui Tang, Magalí Anastasio and Friedrich Philipp. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysics and Climate Dynamics.
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.