D. Sbibih

989 total citations
89 papers, 709 citations indexed

About

D. Sbibih is a scholar working on Computational Mechanics, Numerical Analysis and Mechanics of Materials. According to data from OpenAlex, D. Sbibih has authored 89 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computational Mechanics, 42 papers in Numerical Analysis and 22 papers in Mechanics of Materials. Recurrent topics in D. Sbibih's work include Advanced Numerical Analysis Techniques (59 papers), Iterative Methods for Nonlinear Equations (37 papers) and Fractional Differential Equations Solutions (21 papers). D. Sbibih is often cited by papers focused on Advanced Numerical Analysis Techniques (59 papers), Iterative Methods for Nonlinear Equations (37 papers) and Fractional Differential Equations Solutions (21 papers). D. Sbibih collaborates with scholars based in Morocco, France and Spain. D. Sbibih's co-authors include Paul Sablonnière, D. Barrera, M.J. Ibáñez, Azzeddine Mazroui, Driss Khattach, Amr El Abbadi, M. Pasadas, Ch. Tsitouras, Rachid Jennane and Theodore E. Simos and has published in prestigious journals such as Expert Systems with Applications, Applied Mathematics and Computation and IEEE Signal Processing Letters.

In The Last Decade

D. Sbibih

84 papers receiving 679 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Sbibih Morocco 15 471 358 234 198 105 89 709
Catterina Dagnino Italy 14 308 0.7× 243 0.7× 115 0.5× 63 0.3× 103 1.0× 54 424
Filomena Di Tommaso Italy 14 246 0.5× 113 0.3× 185 0.8× 33 0.2× 77 0.7× 33 375
Allal Guessab France 14 189 0.4× 129 0.4× 130 0.6× 53 0.3× 267 2.5× 60 529
Fengying Zhou China 10 34 0.1× 159 0.4× 38 0.2× 189 1.0× 115 1.1× 20 362
A. Shidfar Iran 15 70 0.1× 141 0.4× 182 0.8× 196 1.0× 158 1.5× 48 535
Bülent Saka Türkiye 19 230 0.5× 481 1.3× 318 1.4× 502 2.5× 13 0.1× 30 1.0k
Robert Plato Germany 10 81 0.2× 93 0.3× 78 0.3× 40 0.2× 96 0.9× 28 385
Gisbert Stoyan Hungary 11 214 0.5× 86 0.2× 67 0.3× 9 0.0× 25 0.2× 24 396
Junxiong Jia China 12 25 0.1× 90 0.3× 51 0.2× 236 1.2× 228 2.2× 37 451
Ercı́lia Sousa Portugal 10 51 0.1× 460 1.3× 148 0.6× 535 2.7× 163 1.6× 35 667

Countries citing papers authored by D. Sbibih

Since Specialization
Citations

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

Fields of papers citing papers by D. Sbibih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sbibih

This figure shows the co-authorship network connecting the top 25 collaborators of D. Sbibih. A scholar is included among the top collaborators of D. Sbibih 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 D. Sbibih. D. Sbibih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sbibih, D., et al.. (2025). An automatic B-snake model based on deep learning for medical image segmentation. Expert Systems with Applications. 270. 126481–126481.
2.
Sbibih, D., et al.. (2024). A CNN-based spline active surface method with an after-balancing step for 3D medical image segmentation. Mathematics and Computers in Simulation. 225. 607–618.
3.
Sbibih, D., et al.. (2023). Superconvergent Nyström Method Based on Spline Quasi-Interpolants for Nonlinear Urysohn Integral Equations. Mathematics. 11(14). 3236–3236. 1 indexed citations
4.
Sbibih, D., et al.. (2019). Legendre superconvergent Galerkin-collocation type methods for Hammerstein equations. Journal of Computational and Applied Mathematics. 353. 253–264. 6 indexed citations
5.
Sbibih, D., et al.. (2019). Superconvergent product integration method for Hammerstein integral equations. Journal of Integral Equations and Applications. 31(1). 4 indexed citations
6.
Sbibih, D., et al.. (2013). Superconvergent Nyström and degenerate kernel methods for Hammerstein integral equations. Journal of Computational and Applied Mathematics. 258. 30–41. 16 indexed citations
7.
Sablonnière, Paul, et al.. (2012). Collocation methods for solving multivariable integral equations of the second kind. Journal of Computational and Applied Mathematics. 236(17). 4494–4512. 5 indexed citations
8.
Sbibih, D., et al.. (2011). Sextic spline collocation methods for nonlinear fifth-order boundary value problems. International Journal of Computer Mathematics. 88(10). 2072–2088. 6 indexed citations
9.
Abbadi, Amr El, D. Barrera, M.J. Ibáñez, & D. Sbibih. (2010). A general method for constructing quasi-interpolants from B-splines. Journal of Computational and Applied Mathematics. 234(4). 1324–1337. 13 indexed citations
10.
Sablonnière, Paul, et al.. (2010). Solving Fredholm integral equations by approximating kernels by spline quasi-interpolants. Numerical Algorithms. 56(3). 437–453. 23 indexed citations
11.
Sablonnière, Paul, et al.. (2009). Product integration methods based on discrete spline quasi-interpolants and application to weakly singular integral equations. Journal of Computational and Applied Mathematics. 233(11). 2855–2866. 21 indexed citations
12.
Barrera, D., M.J. Ibáñez, Paul Sablonnière, & D. Sbibih. (2009). On near-best discrete quasi-interpolation on a four-directional mesh. Journal of Computational and Applied Mathematics. 233(6). 1470–1477. 20 indexed citations
13.
Sbibih, D., et al.. (2008). Spline Solution Of Some Linear Boundary Value Problems. 8. 171–178. 8 indexed citations
14.
Barrera, D., et al.. (2007). A recursive method for computing interpolants. Journal of Computational and Applied Mathematics. 216(2). 435–450.
15.
Mazroui, Azzeddine, et al.. (2005). A recursive construction of Hermite spline interpolants and applications. Journal of Computational and Applied Mathematics. 183(1). 67–83. 8 indexed citations
16.
Barrera, D., M.J. Ibáñez, Paul Sablonnière, & D. Sbibih. (2005). Near-best quasi-interpolants associated with H-splines on a three-direction mesh. Journal of Computational and Applied Mathematics. 183(1). 133–152. 23 indexed citations
17.
Barrera, D., M.J. Ibáñez, Paul Sablonnière, & D. Sbibih. (2004). Near minimally normed spline quasi-interpolants on uniform partitions. Journal of Computational and Applied Mathematics. 181(1). 211–233. 19 indexed citations
18.
Sbibih, D., et al.. (2003). Interpolation by new B-splines on a four directional mesh of the plane. Journal of Computational and Applied Mathematics. 162(1). 287–298. 1 indexed citations
19.
Sbibih, D., et al.. (2003). Quadratic spline wavelets with arbitrary simple knots on the sphere. Journal of Computational and Applied Mathematics. 162(1). 273–286. 3 indexed citations
20.
Sablonnière, Paul & D. Sbibih. (1994). Spline integral operators exact on polynomials. Approximation Theory and Its Applications. 10(3). 56–73. 17 indexed citations

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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