Amina Chebira

23 papers and 737 indexed citations i.

About

Amina Chebira is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics. According to data from OpenAlex, Amina Chebira has authored 23 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 6 papers in Applied Mathematics. Recurrent topics in Amina Chebira’s work include Mathematical Analysis and Transform Methods (6 papers), Image and Signal Denoising Methods (6 papers) and Image Processing Techniques and Applications (5 papers). Amina Chebira is often cited by papers focused on Mathematical Analysis and Transform Methods (6 papers), Image and Signal Denoising Methods (6 papers) and Image Processing Techniques and Applications (5 papers). Amina Chebira collaborates with scholars based in United States, Switzerland and France. Amina Chebira's co-authors include Jelena Kovačević, Martin Vetterli, Juri Ranieri, Robert F. Murphy, Gowri Srinivasa, C. S. Jackson, Yue M. Lu, Alessandro Vincenzi, David Atienza 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

Co-authorship network of co-authors of Amina Chebira i

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.

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).

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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