J. Vigo‐Aguiar

3.6k total citations
134 papers, 2.9k citations indexed

About

J. Vigo‐Aguiar is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, J. Vigo‐Aguiar has authored 134 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Numerical Analysis, 37 papers in Computational Theory and Mathematics and 31 papers in Electrical and Electronic Engineering. Recurrent topics in J. Vigo‐Aguiar's work include Numerical methods for differential equations (57 papers), Differential Equations and Numerical Methods (48 papers) and Electromagnetic Simulation and Numerical Methods (29 papers). J. Vigo‐Aguiar is often cited by papers focused on Numerical methods for differential equations (57 papers), Differential Equations and Numerical Methods (48 papers) and Electromagnetic Simulation and Numerical Methods (29 papers). J. Vigo‐Aguiar collaborates with scholars based in Spain, India and Greece. J. Vigo‐Aguiar's co-authors include Higinio Ramos, T. E. Simos, Srinivasan Natesan, Pratibhamoy Das, Ángel Tocino, José M. Ferrándiz, Theodore E. Simos, Manuel S. Santos, Jesús Martín Vaquero and Bruce A. Wade and has published in prestigious journals such as Econometrica, Computer Physics Communications and The Astronomical Journal.

In The Last Decade

J. Vigo‐Aguiar

126 papers receiving 2.8k citations

Peers

J. Vigo‐Aguiar
R. Bruce Kellogg United States
Ronald Cools Belgium
Daniel B. Szyld United States
J. Vigo‐Aguiar
Citations per year, relative to J. Vigo‐Aguiar J. Vigo‐Aguiar (= 1×) peers M. M. Chawla

Countries citing papers authored by J. Vigo‐Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by J. Vigo‐Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Vigo‐Aguiar. 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 J. Vigo‐Aguiar. The network helps show where J. Vigo‐Aguiar may publish in the future.

Co-authorship network of co-authors of J. Vigo‐Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of J. Vigo‐Aguiar. A scholar is included among the top collaborators of J. Vigo‐Aguiar 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 J. Vigo‐Aguiar. J. Vigo‐Aguiar 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.
Alonso, Pedro, et al.. (2025). The evolution of high-performance computing: how AI and quantum computing are reshaping supercomputing. The Journal of Supercomputing. 81(5). 1 indexed citations
2.
Chakravarthy, P. Pramod, et al.. (2024). Wavelet-based approximation for two-dimensional singularly perturbed elliptic problems. Journal of Computational and Applied Mathematics. 451. 116069–116069.
3.
Kumam, Wiyada, J. Vigo‐Aguiar, & Poom Kumam. (2023). Projection Method for Solving Large-scale System of Nonlinear Equations. 2(2). 93–112. 2 indexed citations
4.
Shokri, Ali, et al.. (2018). A new four-step P-stable Obrechkoff method with vanished phase-lag and some of its derivatives for the numerical solution of radial Schrödinger equation. Journal of Computational and Applied Mathematics. 354. 569–586. 9 indexed citations
5.
Ramos, Higinio, et al.. (2016). A unified approach for the development ofk-step block Falkner-type methods for solving general second-order initial-value problems in ODEs. Journal of Computational and Applied Mathematics. 318. 550–564. 36 indexed citations
6.
Vigo‐Aguiar, J., Alicia Cordero, & Higinio Ramos. (2014). Recent trends on Computational and Mathematical Methods in Science and Engineering (CMMSE). Journal of Computational and Applied Mathematics. 275. 213–215. 2 indexed citations
7.
Alonso, Pedro & J. Vigo‐Aguiar. (2013). Selected papers on Computational and Mathematical Methods in Science and Engineering (CMMSE). Journal of Computational and Applied Mathematics. 252. 1–2. 4 indexed citations
8.
Vigo‐Aguiar, J., et al.. (2011). Applications of computational mathematics in science and engineering. International Journal of Computer Mathematics. 88(9). 1805–1807. 4 indexed citations
9.
Vigo‐Aguiar, J. & G. Vanden Berghe. (2011). Advances in Computational and Mathematical Methods in Science and Engineering. Journal of Computational and Applied Mathematics. 235(7). 1745–1745. 12 indexed citations
10.
Vigo‐Aguiar, J. & Bruce A. Wade. (2006). Special issue dedicated to Professor Shinnosuke Oharu on the occasion of his 65th birthday. Journal of Computational and Applied Mathematics. 204(1). 1–2. 1 indexed citations
11.
Ramos, Higinio & J. Vigo‐Aguiar. (2005). Variable stepsize störmer-cowell methods. Mathematical and Computer Modelling. 42(7-8). 837–846. 23 indexed citations
12.
Tocino, Ángel & J. Vigo‐Aguiar. (2005). Symplectic conditions for exponential fitting Runge-Kutta-Nyström methods. Mathematical and Computer Modelling. 42(7-8). 873–876. 88 indexed citations
13.
Vigo‐Aguiar, J., et al.. (2005). Preface. Mathematical and Computer Modelling. 42(7-8). xiii–xiii. 3 indexed citations
14.
Ramos, Higinio & J. Vigo‐Aguiar. (2004). A note on step-size selection in the Störmer–Cowell methods. Journal of Computational and Applied Mathematics. 175(1). 149–159. 4 indexed citations
15.
Simos, T. E. & J. Vigo‐Aguiar. (2003). Preface. Journal of Computational and Applied Mathematics. 158(1). ix–ix. 44 indexed citations
16.
Tocino, Ángel & J. Vigo‐Aguiar. (2003). New Itô–Taylor expansions. Journal of Computational and Applied Mathematics. 158(1). 169–185. 7 indexed citations
17.
Natesan, Srinivasan, et al.. (2003). Parameter uniform numerical method for singularly perturbed turning point problems exhibiting boundary layers. Journal of Computational and Applied Mathematics. 158(1). 121–134. 56 indexed citations
18.
Natesan, Srinivasan & J. Vigo‐Aguiar. (2000). A Parallel Boundary Value Technique for Singularly Perturbed Two-Point Boundary Value Problems.. Parallel and Distributed Processing Techniques and Applications. 2 indexed citations
19.
Vigo‐Aguiar, J. & José M. Ferrándiz. (1998). VSVO multistep formulae adapted to perturbed second-order differential equations. Applied Mathematics Letters. 11(3). 83–87. 12 indexed citations
20.
Vigo‐Aguiar, J., et al.. (1996). Evidencia empírica sobre los flujos de caja: Un nuevo enfoque en su tratamiento. Revista española de financiación y contabilidad. 497–517. 2 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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