J. Vigo‐Aguiar

3.6k citations
134 papers · 2.9k indexed · h-index 35
Topics
Numerical methods for differential equations (57 papers)Differential Equations and Numerical Methods (48 papers)Electromagnetic Simulation and Numerical Methods (29 papers)
Partner nations
SpainIndiaGreece

In The Last Decade

J. Vigo‐Aguiar

126 papers receiving 2.8k citations

Peers

J. Vigo‐Aguiar
Comparison fields: 5 of 97
  • Numerical Analysis 2.4k
  • Electrical and Electronic Engineering 981
  • Computational Theory and Mathematics 915
  • Computational Mechanics 668
  • Modeling and Simulation 374
Replace M. M. Chawla with:
M. M. Chawla India
P.J. van der Houwen Netherlands
Kenneth R. Jackson Canada
W. H. Enright Canada
R. Bruce Kellogg United States
Stig Larsson Sweden
Ronald Cools Belgium
Hans J. Stetter Austria
Changfeng Ma China
Gennadi Vainikko Estonia
J. Vigo‐Aguiar relative to M. M. Chawla India M. M. Chawla's profile →
Citations per field
00.5×7.3×
M. M. Chawla · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 2
4 9
5 36
6 2
7 4
8 4
9 12
10 1
11 23
12 88
13 3
14 4
15 44
16 7
17 56
18
A Parallel Boundary Value Technique for Singularly Perturbed Two-Point Boundary Value Problems.
2
19 12
20
Evidencia empírica sobre los flujos de caja: Un nuevo enfoque en su tratamiento
2

About J. Vigo‐Aguiar

J. Vigo‐Aguiar is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 134 papers that have together received 2.9k indexed citations. Recurring topics across this work include Numerical methods for differential equations (57 papers), Differential Equations and Numerical Methods (48 papers) and Electromagnetic Simulation and Numerical Methods (29 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Modeling and Simulation (374 citations) and Computational Theory and Mathematics (915 citations). J. Vigo‐Aguiar has collaborated with scholars based in Spain, India and Greece. Frequent 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. Their work appears in journals such as Econometrica, Computer Physics Communications and The Astronomical Journal.

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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