Amina Chebira

1.4k total citations
30 papers, 848 citations indexed

About

Amina Chebira is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Amina Chebira has authored 30 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 7 papers in Media Technology. Recurrent topics in Amina Chebira's work include Image and Signal Denoising Methods (7 papers), Image Processing Techniques and Applications (7 papers) and Cell Image Analysis Techniques (7 papers). Amina Chebira is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Image Processing Techniques and Applications (7 papers) and Cell Image Analysis Techniques (7 papers). Amina Chebira collaborates with scholars based in United States, Switzerland and U.S. Virgin Islands. Amina Chebira's 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 and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and BMC Bioinformatics.

In The Last Decade

Amina Chebira

27 papers receiving 809 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amina Chebira United States 13 297 224 183 171 165 30 848
Matthew Fickus United States 16 314 1.1× 412 1.8× 254 1.4× 89 0.5× 146 0.9× 53 824
Leo Dorst Netherlands 20 615 2.1× 338 1.5× 187 1.0× 53 0.3× 51 0.3× 65 1.3k
C. Si̇nan Güntürk United States 12 462 1.6× 112 0.5× 594 3.2× 144 0.8× 289 1.8× 25 1.2k
Artyom M. Grigoryan United States 19 1.0k 3.5× 191 0.9× 94 0.5× 66 0.4× 342 2.1× 146 1.5k
Jesse L. Barlow United States 15 248 0.8× 131 0.6× 233 1.3× 64 0.4× 106 0.6× 60 893
Konstantin Usevich France 16 174 0.6× 176 0.8× 168 0.9× 42 0.2× 117 0.7× 57 684
Kit Ian Kou Macao 22 713 2.4× 966 4.3× 154 0.8× 89 0.5× 389 2.4× 121 1.7k
Alexey Castrodad United States 7 411 1.4× 39 0.2× 862 4.7× 302 1.8× 276 1.7× 12 1.5k
Lütfiye Durak-Ata Türkiye 15 295 1.0× 152 0.7× 56 0.3× 356 2.1× 176 1.1× 116 962
Hyeokho Choi United States 19 1.0k 3.4× 79 0.4× 160 0.9× 84 0.5× 147 0.9× 53 1.3k

Countries citing papers authored by Amina Chebira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ranieri, Juri, et al.. (2019). Super Resolution Phase Retrieval for Sparse Signals. IEEE Transactions on Signal Processing. 67(18). 4839–4854. 10 indexed citations
2.
Stanley, Ross P., et al.. (2017). Hyperspectral imaging using a commercial light-field camera (Conference Presentation). 38–38. 1 indexed citations
3.
Ranieri, Juri, Alessandro Vincenzi, Amina Chebira, David Atienza, & Martin Vetterli. (2015). Near-Optimal Thermal Monitoring Framework for Many-Core Systems-on-Chip. IEEE Transactions on Computers. 64(11). 3197–3209. 16 indexed citations
4.
Ranieri, Juri, Amina Chebira, & Martin Vetterli. (2014). Near-Optimal Sensor Placement for Linear Inverse Problems. IEEE Transactions on Signal Processing. 62(5). 1135–1146. 162 indexed citations
5.
Ranieri, Juri, Amina Chebira, Yue M. Lu, & Martin Vetterli. (2013). Phase Retrieval for Sparse Signals: Uniqueness Conditions. IEEE Transactions on Information Theory. 3 indexed citations
6.
Ranieri, Juri, Alessandro Vincenzi, Amina Chebira, David Atienza, & Martin Vetterli. (2012). EigenMaps. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 636–641. 37 indexed citations
7.
Ranieri, Juri, Ivan Dokmanić, Amina Chebira, & Martin Vetterli. (2012). Sampling and reconstruction of time-varying atmospheric emissions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3673–3676. 11 indexed citations
8.
Dokmanić, Ivan, Juri Ranieri, Amina Chebira, & Martin Vetterli. (2011). Sensor networks for diffusion fields: Detection of sources in space and time. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1552–1558. 15 indexed citations
9.
Scheibler, Robin, Paul Hurley, & Amina Chebira. (2011). Pruned Continuous Haar Transform of 2D Polygonal Patterns with Application to VLSI Layouts. arXiv (Cornell University). 984–987.
10.
Ranieri, Juri, Amina Chebira, Yue M. Lu, & Martin Vetterli. (2011). Sampling and reconstructing diffusion fields with localized sources. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4016–4019. 34 indexed citations
11.
Sandryhaila, Aliaksei, et al.. (2010). Systematic Construction of Real Lapped Tight Frame Transforms. IEEE Transactions on Signal Processing. 58(5). 2556–2567. 5 indexed citations
12.
Chebira, Amina, Matthew Fickus, & Dustin G. Mixon. (2010). Filter Bank Fusion Frames. IEEE Transactions on Signal Processing. 59(3). 953–963. 15 indexed citations
13.
Sandryhaila, Aliaksei, Amina Chebira, Markus Püschel, & Jelena Kovačević. (2009). A new class of seeded real lapped tight frame transforms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7446. 74460M–74460M. 1 indexed citations
14.
Chebira, Amina, et al.. (2008). Adaptive Multiresolution Frame Classification of Biomedical Images. 1 indexed citations
15.
Chebira, Amina & Jelena Kovačević. (2008). Frames in bioimaging. 112. 727–732. 3 indexed citations
16.
Chebira, Amina, John A. Ozolek, Carlos A. Castro, et al.. (2008). Multiresolution identification of germ layer components in teratomas derived from human and nonhuman primate embryonic stem cells. 979–982. 14 indexed citations
17.
Chebira, Amina, et al.. (2007). A multiresolution approach to automated classification of protein subcellular location images. BMC Bioinformatics. 8(1). 210–210. 95 indexed citations
18.
Kovačević, Jelena & Amina Chebira. (2007). An Introduction to Frames. now publishers, Inc. eBooks. 2(1). 1–94. 57 indexed citations
19.
Srinivasa, Gowri, et al.. (2006). Adaptive Multiresolution Techniques for Subcellular Protein Location Classification. 5. V–1177. 8 indexed citations
20.
Chebira, Amina, Pier Luigi Dragotti, Luciano Sbaiz, & Martin Vetterli. (2004). Sampling and interpolation of the plenoptic function. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3. II–917. 9 indexed citations

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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