A. Saoudi

680 citations
70 papers · 454 · h-index 11

Impact in

Papers in

A. Saoudi

56 papers receiving 406 citations

Peers

A. Saoudi
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 269
  • Software 66
  • Applied Mathematics 78
  • Artificial Intelligence 205
  • Mathematical Physics 32
Replace Igor Potapov with:
Igor Potapov United Kingdom
Alf van der Poorten Australia
Robert L. Hemminger United States
J. Koch United States
Mary Flahive United States
Jorge L. Ramírez Alfonsín France
Sándor Szabó Hungary
M. Delest France
Olivier Bodini France
Amos Altshuler Israel
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Citations per field
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Citations per year

Countries citing papers authored by A. Saoudi

Since Specialization
Citations

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

Fields of papers citing papers by A. Saoudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside A. Saoudi, 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 A. Saoudi Line = papers co-authored together A. Saoudi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986108
2 200346
3 199232
4 199124
5 202021
6 198915
7 199514
8 201913
9 202012
10 201211
11
Learning local and recognizable Ω-languages and monadic logic programs
199410
12 20109
13 20099
14 20249
15 19948
16 20126
17
L2 -Uncertainty Principle for the Weinstein-Multiplier Operators
20195
18 20225
19 20095
20 20225

About A. Saoudi

A. Saoudi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Applied Mathematics and Molecular Biology, having authored 70 papers that have together received 454 indexed citations. Recurring topics across this work include semigroups and automata theory (23 papers), Mathematical Analysis and Transform Methods (19 papers), Algorithms and Data Compression (14 papers), Image and Signal Denoising Methods (11 papers), Logic, programming, and type systems (10 papers), Formal Methods in Verification (9 papers), DNA and Biological Computing (8 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Computational Theory and Mathematics (269 citations), Software (66 citations), Applied Mathematics (78 citations), Artificial Intelligence (205 citations) and Mathematical Physics (32 citations). A. Saoudi has collaborated with scholars based in France, Saudi Arabia and Tunisia. Frequent co-authors include Paul E. Schupp, David E. Muller, Maurice Nivat, Rani Siromoney, Y. Medkour, D. Maouche, K. G. Subramanian, Takashi Yokomori, L. Louail and Hasnah Mohamed. Their work appears in journals such as Theoretical Computer Science, Journal of Pseudo-Differential Operators and Applications, International Journal of Foundations of Computer Science, Solid State Communications and Fractional Calculus and Applied 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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