Kamel Saoudi

1.0k citations
84 papers · 737 · h-index 15

Impact in

Papers in

Kamel Saoudi

74 papers receiving 696 citations

Peers

Kamel Saoudi
Comparison fields: 5 of 53
  • Applied Mathematics 481
  • Computational Theory and Mathematics 383
  • Modeling and Simulation 62
  • Mathematical Physics 95
  • Numerical Analysis 56
Replace Manil T. Mohan with:
Manil T. Mohan India
Ilyasse Aksikas Canada
Tran Dinh Ke Vietnam
M.L. Santos Brazil
Frank Lempio Germany
Raúl Ferreira Spain
S. H. Hou Hong Kong
Jeffrey J. DaCunha United States
Julie Valein France
Mikhail Kamenskiĭ Russia
Kamel Saoudi relative to Manil T. Mohan India Manil T. Mohan's profile →
Citations per field
00.5×10×15.7×
Manil T. Mohan · 1×
Citations per year

Countries citing papers authored by Kamel Saoudi

Since Specialization
Citations

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

Fields of papers citing papers by Kamel Saoudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kamel 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 Kamel Saoudi Line = papers co-authored together Kamel Saoudi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201362
2 200957
3 201547
4 201839
5 201639
6 201638
7 201636
8 201428
9 200927
10 201725
11 201923
12 201221
13 201819
14 201817
15 201617
16 202111
17 20219
18 20199
19 20189
20 20159

About Kamel Saoudi

Kamel Saoudi is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Electrical and Electronic Engineering, Mathematical Physics and Control and Systems Engineering, having authored 84 papers that have together received 737 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (53 papers), Advanced Mathematical Modeling in Engineering (44 papers), Nonlinear Differential Equations Analysis (29 papers), Differential Equations and Boundary Problems (16 papers), Power System Optimization and Stability (10 papers), Frequency Control in Power Systems (8 papers), Numerical methods in inverse problems (7 papers) and Wind Turbine Control Systems (4 papers). The work is most often cited by research in Applied Mathematics (481 citations), Computational Theory and Mathematics (383 citations), Modeling and Simulation (62 citations), Mathematical Physics (95 citations) and Numerical Analysis (56 citations). Kamel Saoudi has collaborated with scholars based in Saudi Arabia, Algeria and India. Frequent co-authors include Abdeljabbar Ghanmi, Jacques Giacomoni, M. N. Harmas, Debajyoti Choudhuri, Khaled Kefi, Najib Essounbouli, Abdelaziz Hamzaoui, Praveen Agarwal, Phatiphat Thounthong and Poom Kumam. Their work appears in journals such as Fractional Calculus and Applied Analysis, International Journal of Mathematics, Asymptotic Analysis, Journal of Pseudo-Differential Operators and Applications and International Journal of Electrical Power & Energy Systems.

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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