Alicia Cordero

5.0k total citations · 1 hit paper
226 papers, 3.7k citations indexed

About

Alicia Cordero is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Alicia Cordero has authored 226 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Numerical Analysis, 94 papers in Computational Theory and Mathematics and 57 papers in Modeling and Simulation. Recurrent topics in Alicia Cordero's work include Iterative Methods for Nonlinear Equations (212 papers), Advanced Optimization Algorithms Research (190 papers) and Matrix Theory and Algorithms (89 papers). Alicia Cordero is often cited by papers focused on Iterative Methods for Nonlinear Equations (212 papers), Advanced Optimization Algorithms Research (190 papers) and Matrix Theory and Algorithms (89 papers). Alicia Cordero collaborates with scholars based in Spain, Dominican Republic and Iran. Alicia Cordero's co-authors include Juan R. Torregrosa, Eulalia Martı́nez, José L. Hueso, María P. Vassileva, Francisco I. Chicharro, P. Vindel, Fazlollah Soleymani, Ramandeep Behl, S. S. Motsa and Taher Lotfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry Letters and Applied Mathematics and Computation.

In The Last Decade

Alicia Cordero

218 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variants of Newton’s Method using fifth-order quadrature formulas

2007 332 citations Alicia Cordero, Juan R. Torregrosa Applied Mathematics and Computation profile →

Peers

Alicia Cordero

NA

CTM

MS

CM

EDUCA

Juan R. Torregrosa Spain

Changbum Chun South Korea

Ioannis K. Argyros United States

Miodrag S. Petković Serbia

Tetsuro Yamamoto Japan

Chengjian Zhang China

R. K. Mohanty India

Vishnu Narayan Mishra India

A. Golbabai Iran

Pratibhamoy Das India

Juan R. Torregrosa Spain

Alicia Cordero

3.4k ×1.0

NA

1.8k ×1.1

CTM

1.2k ×1.0

MS

479 ×1.0

CM

201 ×1.0

EDUCA

Citations per year, relative to Alicia Cordero Alicia Cordero (= 1×) peers Juan R. Torregrosa

Countries citing papers authored by Alicia Cordero

Since Specialization

Citations

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

Fields of papers citing papers by Alicia Cordero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Cordero

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

All Works

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20 of 20 papers shown

1.

Bisquert, Juan, Roberto Fenollosa, Alicia Cordero, & Juan R. Torregrosa. (2025). Bifurcation and Frequency Properties of S-Type Neuronic Oscillators. The Journal of Physical Chemistry Letters. 16(15). 3616–3631. 5 indexed citations

2.

Cordero, Alicia, et al.. (2025). First optimal vectorial eighth-order iterative scheme for solving non-linear systems. Applied Mathematics and Computation. 498. 129401–129401. 1 indexed citations

3.

Cordero, Alicia, et al.. (2024). High-efficiency implicit scheme for solving first-order partial differential equations. Results in Applied Mathematics. 24. 100507–100507. 1 indexed citations

4.

Raza, Ali, Nauman Ahmed, Muhammad Rafiq, et al.. (2024). Mathematical modeling of Ebola using delay differential equations. Modeling Earth Systems and Environment. 10(5). 6309–6322. 6 indexed citations

5.

Cordero, Alicia, et al.. (2024). Two-Step Fifth-Order Efficient Jacobian-Free Iterative Method for Solving Nonlinear Systems. Mathematics. 12(21). 3341–3341. 1 indexed citations

6.

Cordero, Alicia, et al.. (2024). Efficient parametric family of fourth-order Jacobian-free iterative vectorial schemes. Numerical Algorithms. 97(4). 2011–2029. 2 indexed citations

7.

Cordero, Alicia, et al.. (2024). Solving nonlinear vectorial problems with a stable class of Jacobian-free iterative processes. Journal of Applied Mathematics and Computing. 70(5). 5023–5048.

8.

Ahmed, Nauman, Muhammad Waqas Yasin, Muhammad Sajid Iqbal, et al.. (2024). Comparisons of Numerical and Solitary Wave Solutions for the Stochastic Reaction–Diffusion Biofilm Model including Quorum Sensing. Mathematics. 12(9). 1293–1293. 1 indexed citations

9.

Kanwar, V., et al.. (2023). A New Third-Order Family of Multiple Root-Findings Based on Exponential Fitted Curve. Algorithms. 16(3). 156–156. 3 indexed citations

10.

Cordero, Alicia, et al.. (2023). Fractal Complexity of a New Biparametric Family of Fourth Optimal Order Based on the Ermakov–Kalitkin Scheme. Fractal and Fractional. 7(6). 459–459. 4 indexed citations

11.

Cordero, Alicia, et al.. (2023). Improving Newton–Schulz Method for Approximating Matrix Generalized Inverse by Using Schemes with Memory. Mathematics. 11(14). 3161–3161.

12.

Baber, Muhammad Zafarullah, et al.. (2023). Modelling Symmetric Ion-Acoustic Wave Structures for the BBMPB Equation in Fluid Ions Using Hirota’s Bilinear Technique. Symmetry. 15(9). 1682–1682. 17 indexed citations

13.

Cordero, Alicia, et al.. (2023). Convergence and Stability of a New Parametric Class of Iterative Processes for Nonlinear Systems. Algorithms. 16(3). 163–163.

14.

Cordero, Alicia, et al.. (2023). A highly efficient class of optimal fourth-order methods for solving nonlinear systems. Numerical Algorithms. 95(4). 1879–1904. 9 indexed citations

15.

Cordero, Alicia, et al.. (2021). Semilocal Convergence of the Extension of Chun’s Method. Axioms. 10(3). 161–161. 2 indexed citations

16.

Behl, Ramandeep, Alicia Cordero, S. S. Motsa, & Juan R. Torregrosa. (2017). Stable high-order iterative methods for solving nonlinear models. Applied Mathematics and Computation. 303. 70–88. 18 indexed citations

17.

Cordero, Alicia, et al.. (2016). Stability of a fourth order bi-parametric family of iterative methods. Journal of Computational and Applied Mathematics. 312. 94–102. 5 indexed citations

18.

Cordero, Alicia, Juan R. Torregrosa, & María P. Vassileva. (2016). Weighted Gaussian correction of Newton-type methods for solving nonlinear systems. 59(107). 23–38. 1 indexed citations

19.

Cordero, Alicia, et al.. (2015). An efficient Steffensen-like iterative method with memory. 58(1). 49–58. 4 indexed citations

20.

Cordero, Alicia, Juan R. Torregrosa, & P. Vindel. (2012). Period-doubling bifurcations in the family of Chebyshev–Halley-type methods. International Journal of Computer Mathematics. 90(10). 2061–2071. 7 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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