Amina Chebira
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 2%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Jelena KovačevićMartin VetterliJuri RanieriGowri SrinivasaRobert F. MurphyC. S. JacksonAlessandro VincenziDavid Atienza
- Topics
- Image and Signal Denoising Methods (7 papers)Image Processing Techniques and Applications (7 papers)Cell Image Analysis Techniques (7 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingBMC Bioinformatics
- Partner nations
- United StatesSwitzerlandU.S. Virgin Islands
In The Last Decade
Amina Chebira
27 papers receiving 809 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 297
- Applied Mathematics 224
- Computational Mechanics 183
- Electrical and Electronic Engineering 171
- Signal Processing 165
Countries citing papers authored by Amina Chebira
This map shows the geographic impact of Amina Chebira'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 Amina Chebira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Chebira more than expected).
Fields of papers citing papers by Amina Chebira
This network shows the impact of papers produced by Amina Chebira. 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 Amina Chebira. The network helps show where Amina Chebira may publish in the future.
Co-authorship network of co-authors of Amina Chebira
This figure shows the co-authorship network connecting the top 25 collaborators of Amina Chebira. A scholar is included among the top collaborators of Amina Chebira 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 Amina Chebira. Amina Chebira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 162 | |
| 5 | Phase Retrieval for Sparse Signals: Uniqueness Conditions | 3 |
| 6 | 37 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 34 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | Adaptive Multiresolution Frame Classification of Biomedical Images | 1 |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 95 | |
| 18 | 57 | |
| 19 | 8 | |
| 20 | 9 |
About Amina Chebira
Amina Chebira is a scholar working on Biophysics, Media Technology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 848 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Image Processing Techniques and Applications (7 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Applied Mathematics (224 citations), Biophysics (98 citations) and Signal Processing (165 citations). Amina Chebira has collaborated with scholars based in United States, Switzerland and U.S. Virgin Islands. Frequent co-authors include Jelena Kovačević, Martin Vetterli, Juri Ranieri, Gowri Srinivasa, Robert F. Murphy, C. S. Jackson, Alessandro Vincenzi, David Atienza, Yue M. Lu and Ivan Dokmanić. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and BMC Bioinformatics.
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.