Hatem Mejjaolı

535 citations
61 papers · 370 indexed · h-index 11

Hatem Mejjaolı

54 papers receiving 358 citations

Peers

Hatem Mejjaolı
Comparison fields: 5 of 23
  • Applied Mathematics 341
  • Mathematical Physics 124
  • Computer Vision and Pattern Recognition 160
  • Signal Processing 62
  • Geophysics 30
Replace Hatem Mejjaoli with:
Hatem Mejjaoli Saudi Arabia
V. P. Havin Russia
Nguyen Minh Tuan Vietnam
Darrin Speegle United States
Guantie Deng China
Radouan Daher Morocco
Alexander Ulanovskii Norway
Alexander Olevskiı̆ Israel
Ziemowit Rzeszotnik Poland
Antonio Córdoba United States
Hatem Mejjaolı relative to Hatem Mejjaoli Saudi Arabia Hatem Mejjaoli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hatem Mejjaolı

Since Specialization
Citations

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

Fields of papers citing papers by Hatem Mejjaolı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Hatem Mejjaolı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hatem Mejjaolı Line = papers co-authored together Hatem Mejjaolı links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20253
4 20243
5 20232
6 20232
7 20222
8 20221
9 202110
10 20166
11
Dunkl-Schrödinger Equations with and without Quadratic Potentials
20111
12 20116
13
The Continuous Wavelet Transform Associated with a Differential-Difference Operator and Applications
20102
14 20108
15 200912
16
Dispersion Phenomena in Dunkl-Schrödinger Equation and Applications
20099
17 20097
18
LITTLEWOOD-PALEY DECOMPOSITION ASSOCIATED WITH THE DUNKL OPERATORS AND PARAPRODUCT OPERATORS
200811
19 20068
20
An Analogue of Beurling-Hörmander’s Theorem for the Dunkl-Bessel Transform
20067

About Hatem Mejjaolı

Hatem Mejjaolı is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 370 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (58 papers), Image and Signal Denoising Methods (33 papers), Spectral Theory in Mathematical Physics (13 papers), Advanced Mathematical Physics Problems (10 papers), Digital Filter Design and Implementation (10 papers), Mathematical functions and polynomials (8 papers), Seismic Imaging and Inversion Techniques (6 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Applied Mathematics (341 citations), Mathematical Physics (124 citations) and Computer Vision and Pattern Recognition (160 citations). Hatem Mejjaolı has collaborated with scholars based in Saudi Arabia, Tunisia and Japan. Frequent co-authors include Khalifa Trimèche, Radouan Daher, Firdous A. Shah, Saifallah Ghobber and Salem Ben Saïd. Their work appears in journals such as Journal of Pseudo-Differential Operators and Applications, Journal of Mathematical Analysis and Applications, Journal of the Mathematical Society of Japan, Symmetry and Nonlinear Analysis.

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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