Javier Segura
- Applied Mathematics top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Modeling and Simulation top 1%
- Co-authors
- Amparo GilNico Μ. ΤemmeBernat SoriaAlfredo DeañoT. M. DunsterLuis M. GutiérrezÃngel NadalJ. Bernabéu
- Topics
- Mathematical functions and polynomials (67 papers)Iterative Methods for Nonlinear Equations (28 papers)Fractional Differential Equations Solutions (23 papers)
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Javier Segura
122 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Applied Mathematics 572
- Atomic and Molecular Physics, and Optics 325
- Numerical Analysis 299
- Computational Theory and Mathematics 257
- Modeling and Simulation 223
Countries citing papers authored by Javier Segura
This map shows the geographic impact of Javier Segura'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 Javier Segura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Segura more than expected).
Fields of papers citing papers by Javier Segura
This network shows the impact of papers produced by Javier Segura. 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 Javier Segura. The network helps show where Javier Segura may publish in the future.
Co-authorship network of co-authors of Javier Segura
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Segura. A scholar is included among the top collaborators of Javier Segura 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 Javier Segura. Javier Segura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | The Schwarzian-Newton method for solving nonlinear equations, with applications | 1 |
| 6 | Computation of the incomplete gamma function for negative values of the argument | 1 |
| 7 | Computation of the Marcum Q-function | 12 |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | Algorithm 850: Real parabolic cylinder functions U(a,x), V(a,x) | 1 |
| 13 | 2 | |
| 14 | Algorithm 831: modified Bessel functions of imaginary order and positive argument | 1 |
| 15 | 16 | |
| 16 | 5 | |
| 17 | Algotithm 819: AIZ, BIZ: two Fortran 77 routines for the computation of complex Airy functions | 7 |
| 18 | GIZ, HIZ: two Fortran 77 routines for the computation of complex Scorer functions | 4 |
| 19 | Computing complex Airy functions by numerical quadrature | 2 |
| 20 | 8 |
About Javier Segura
Javier Segura is a scholar working on Numerical Analysis, Applied Mathematics and Modeling and Simulation, having authored 126 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (67 papers), Iterative Methods for Nonlinear Equations (28 papers) and Fractional Differential Equations Solutions (23 papers). The work is most often cited by research in Numerical Analysis (299 citations), Applied Mathematics (572 citations) and Modeling and Simulation (223 citations). Javier Segura has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Amparo Gil, Nico Μ. Τemme, Bernat Soria, Alfredo Deaño, T. M. Dunster, Luis M. Gutiérrez, Ãngel Nadal, J. Bernabéu, José Villanueva and Francisco J. Botella. Their work appears in journals such as Nuclear Physics B, Journal of Computational Physics and Journal of Cell Science.
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.