Jalal Fadili

88 papers and 3.2k indexed citations i.

About

Jalal Fadili is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jalal Fadili has authored 88 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 37 papers in Computational Mechanics and 15 papers in Computational Theory and Mathematics. Recurrent topics in Jalal Fadili’s work include Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (32 papers) and Inverse Problems in Mathematical Physics and Imaging (13 papers). Jalal Fadili is often cited by papers focused on Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (32 papers) and Inverse Problems in Mathematical Physics and Imaging (13 papers). Jalal Fadili collaborates with scholars based in France, United States and United Kingdom. Jalal Fadili's co-authors include Jean‐Luc Starck, Gabriel Peyré, Fionn Murtagh, Edward T. Bullmore, Y. Moudden, John Suckling, J. Bobin, Bo Zhang, T. Adrian Carpenter and Gemma A. Calvert and has published in prestigious journals such as NeuroImage, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Jalal Fadili i

Fields of papers citing papers by Jalal Fadili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jalal Fadili. 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 Jalal Fadili. The network helps show where Jalal Fadili may publish in the future.

Countries citing papers authored by Jalal Fadili

Since Specialization
Citations

This map shows the geographic impact of Jalal Fadili'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 Jalal Fadili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jalal Fadili 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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