Kamel Saoudi

1.0k citations
82 papers · 718 · h-index 15

Impact in

Papers in

Kamel Saoudi

72 papers receiving 677 citations

Peers

Kamel Saoudi
Comparison fields: 5 of 52
  • Applied Mathematics 480
  • Computational Theory and Mathematics 383
  • Modeling and Simulation 62
  • Mathematical Physics 94
  • Numerical Analysis 56
Replace Manil T. Mohan with:
Manil T. Mohan India
Giuseppe Caristi Italy
Tran Dinh Ke Vietnam
Ilyasse Aksikas Canada
Françoise Demengel France
Masahiro Ikeda Japan
Frank Lempio Germany
E. J. P. Georg Schmidt Canada
M.L. Santos Brazil
Raúl Ferreira Spain
Kamel Saoudi relative to Manil T. Mohan India Manil T. Mohan's profile →
Citations per field
00.5×10×15.3×
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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 200957
3 201546
4 201839
5 201639
6 201638
7 201636
8 201428
9 200926
10 201725
11 201923
12 201221
13 201819
14 201817
15 201617
16 20219
17 20199
18 20189
19 20159
20 20218

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 82 papers that have together received 718 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 (9 papers), Frequency Control in Power Systems (7 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 (480 citations), Computational Theory and Mathematics (383 citations), Modeling and Simulation (62 citations), Mathematical Physics (94 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, Poom Kumam, Praveen Agarwal and Phatiphat Thounthong. Their work appears in journals such as International Journal of Mathematics, Fractional Calculus and Applied Analysis, International Journal of Electrical Power & Energy Systems, Journal of Pseudo-Differential Operators and Applications and Asymptotic 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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