Hatem Mejjaoli
- Applied Mathematics top 1%
- Computer Vision and Pattern Recognition top 5%
- Mathematical Physics top 10%
- Signal Processing top 10%
- Geophysics
- Topics
- Mathematical Analysis and Transform Methods (72 papers)Image and Signal Denoising Methods (35 papers)Spectral Theory in Mathematical Physics (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsJournal of Mathematical Physics
- Partner nations
- Saudi ArabiaTunisiaIndia
In The Last Decade
Hatem Mejjaoli
71 papers receiving 419 citations
Peers
Comparison fields: 5 of 37
- Applied Mathematics 406
- Computer Vision and Pattern Recognition 216
- Mathematical Physics 107
- Signal Processing 84
- Geophysics 41
Countries citing papers authored by Hatem Mejjaoli
This map shows the geographic impact of Hatem Mejjaoli'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 Hatem Mejjaoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem Mejjaoli more than expected).
Fields of papers citing papers by Hatem Mejjaoli
This network shows the impact of papers produced by Hatem Mejjaoli. 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 Hatem Mejjaoli. The network helps show where Hatem Mejjaoli may publish in the future.
Co-authorship network of co-authors of Hatem Mejjaoli
This figure shows the co-authorship network connecting the top 25 collaborators of Hatem Mejjaoli. A scholar is included among the top collaborators of Hatem Mejjaoli 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 Hatem Mejjaoli. Hatem Mejjaoli 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | $L^p$ Quantitative Uncertainty Principles for the Generalized Fourier Transform Associated with the Spherical Mean Operator | 2 |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | Spectrum of Functions for the Dunkl Transform on R^d | 23 |
About Hatem Mejjaoli
Hatem Mejjaoli is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 432 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (72 papers), Image and Signal Denoising Methods (35 papers) and Spectral Theory in Mathematical Physics (15 papers). The work is most often cited by research in Applied Mathematics (406 citations), Mathematical Physics (107 citations) and Computer Vision and Pattern Recognition (216 citations). Hatem Mejjaoli has collaborated with scholars based in Saudi Arabia, Tunisia and India. Frequent co-authors include Khalifa Trimèche, Saifallah Ghobber, Firdous A. Shah, Salem Ben Saïd and H. M. Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Mathematical Physics.
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.