D. Barrera

631 total citations
65 papers, 458 citations indexed

About

D. Barrera is a scholar working on Computational Mechanics, Numerical Analysis and Mechanics of Materials. According to data from OpenAlex, D. Barrera has authored 65 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 20 papers in Numerical Analysis and 18 papers in Mechanics of Materials. Recurrent topics in D. Barrera's work include Advanced Numerical Analysis Techniques (44 papers), Iterative Methods for Nonlinear Equations (17 papers) and Numerical methods in engineering (17 papers). D. Barrera is often cited by papers focused on Advanced Numerical Analysis Techniques (44 papers), Iterative Methods for Nonlinear Equations (17 papers) and Numerical methods in engineering (17 papers). D. Barrera collaborates with scholars based in Spain, Morocco and France. D. Barrera's co-authors include M.J. Ibáñez, D. Sbibih, Paul Sablonnière, P. González, J.B. Roldán, M. Pasadas, F. Jiménez-Molinos, F. Campabadal, Mireia Bargalló González and Allal Guessab and has published in prestigious journals such as IEEE Transactions on Electron Devices, Applied Mathematics and Computation and Computers & Mathematics with Applications.

In The Last Decade

D. Barrera

55 papers receiving 440 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. Barrera Spain 14 286 132 116 100 46 65 458
M.J. Ibáñez Spain 12 254 0.9× 126 1.0× 115 1.0× 73 0.7× 34 0.7× 51 380
Antti Hannukainen Finland 12 187 0.7× 36 0.3× 121 1.0× 151 1.5× 13 0.3× 50 428
Stephen Hilbert United States 5 345 1.2× 139 1.1× 211 1.8× 76 0.8× 9 0.2× 10 481
Chang-Ock Lee South Korea 9 141 0.5× 36 0.3× 88 0.8× 85 0.8× 41 0.9× 44 293
Alexander Ženíšek Czechia 14 588 2.1× 103 0.8× 404 3.5× 93 0.9× 14 0.3× 42 746
Nobuyoshi Tosaka Japan 10 143 0.5× 51 0.4× 131 1.1× 39 0.4× 5 0.1× 59 316
Nicolas Neuß Germany 7 273 1.0× 34 0.3× 115 1.0× 51 0.5× 2 0.0× 11 397
Fredrik Bengzon Sweden 5 122 0.4× 29 0.2× 84 0.7× 50 0.5× 4 0.1× 8 271
M. H. Hamdan Canada 11 288 1.0× 37 0.3× 23 0.2× 20 0.2× 77 447
Eugeniusz Zieniuk Poland 11 143 0.5× 19 0.1× 196 1.7× 59 0.6× 11 0.2× 51 295

Countries citing papers authored by D. Barrera

Since Specialization
Citations

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

Fields of papers citing papers by D. Barrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Barrera. A scholar is included among the top collaborators of D. Barrera 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. Barrera. D. Barrera 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.
Barrera, D., et al.. (2025). Multinode Shepard functions and tensor product polynomial interpolation: Applications to Digital Elevation Models. Journal of Computational and Applied Mathematics. 475. 117036–117036.
2.
Barrera, D., et al.. (2024). Cubic spline quasi-interpolation operator to numerically solve integro-differential equations with weakly singular kernels. Mathematics and Computers in Simulation. 230. 413–422. 1 indexed citations
3.
Barrera, D., et al.. (2023). Low-degree spline quasi-interpolants in the Bernstein basis. Applied Mathematics and Computation. 457. 128150–128150. 3 indexed citations
4.
López, Francisco Javier Ariza, et al.. (2022). Spline quasi‐interpolation in the Bernstein basis and its application to digital elevation models. Mathematical Methods in the Applied Sciences. 46(2). 1687–1698. 5 indexed citations
5.
Ibáñez, M.J., D. Barrera, D. Maldonado, R. J. Yáñez, & J.B. Roldán. (2021). Non-Uniform Spline Quasi-Interpolation to Extract the Series Resistance in Resistive Switching Memristors for Compact Modeling Purposes. Mathematics. 9(17). 2159–2159. 10 indexed citations
6.
Ibáñez, M.J., et al.. (2021). Quasi-Interpolation in a Space of C2 Sextic Splines over Powell–Sabin Triangulations. Mathematics. 9(18). 2276–2276. 2 indexed citations
7.
Barrera, D., et al.. (2018). Quasi-interpolation by C1 quartic splines on type-1 triangulations. Journal of Computational and Applied Mathematics. 349. 225–238. 8 indexed citations
8.
Barrera, D., et al.. (2018). Point and differential C1 quasi-interpolation on three direction meshes. Journal of Computational and Applied Mathematics. 354. 373–389. 8 indexed citations
9.
Barrera, D., et al.. (2017). A spline quasi-interpolation based method to obtain the reset voltage in Resistive RAMs in the charge-flux domain. Journal of Computational and Applied Mathematics. 354. 326–333. 9 indexed citations
10.
Barrera, D., et al.. (2016). Polynomial pattern finding in scattered data. Journal of Computational and Applied Mathematics. 318. 107–116. 3 indexed citations
11.
Barrera, D. & M.J. Ibáñez. (2015). Hermite spline interpolation on a three direction mesh from Powell–Sabin and Hsieh–Clough–Tocher finite elements. Journal of Computational and Applied Mathematics. 318. 565–579. 2 indexed citations
12.
Barrera, D., et al.. (2014). A general spline differential quadrature method based on quasi-interpolation. Journal of Computational and Applied Mathematics. 275. 465–479. 14 indexed citations
13.
Barrera, D., et al.. (2014). On spline-based differential quadrature. Journal of Computational and Applied Mathematics. 275. 272–280. 6 indexed citations
14.
Barrera, D., et al.. (2013). Increasing the approximation order of spline quasi-interpolants. Journal of Computational and Applied Mathematics. 252. 27–39. 14 indexed citations
15.
Barrera, D., et al.. (2012). Construction techniques for multivariate modified quasi-interpolants with high approximation order. Computers & Mathematics with Applications. 65(1). 29–41. 4 indexed citations
16.
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
17.
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
18.
Barrera, D., et al.. (2007). A recursive method for computing interpolants. Journal of Computational and Applied Mathematics. 216(2). 435–450.
19.
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
20.
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

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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