J.A. Ezquerro

1.9k citations
122 papers · 1.3k · h-index 20

Impact in

Papers in

J.A. Ezquerro

114 papers receiving 1.3k citations

Peers

J.A. Ezquerro
Comparison fields: 5 of 43
  • Numerical Analysis 1.3k
  • Modeling and Simulation 511
  • Computational Theory and Mathematics 651
  • Mathematical Physics 207
  • Computational Mechanics 145
Replace Saïd Hilout with:
Saïd Hilout France
Sunethra Weerakoon Sri Lanka
Jovana Džunić Serbia
M.A. Hernández Spain
Ljiljana D. Petković Serbia
Taher Lotfi Iran
V. Kanwar India
Young Ik Kim South Korea
Himani Arora India
D.K.R. Babajee Mauritius
J.A. Ezquerro relative to Saïd Hilout France Saïd Hilout's profile →
Citations per field
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Saïd Hilout · 1×
Citations per year

Countries citing papers authored by J.A. Ezquerro

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Ezquerro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Ezquerro. 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.A. Ezquerro. The network helps show where J.A. Ezquerro may publish in the future.

Co-authors

The 17 scholars most cited alongside J.A. Ezquerro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.A. Ezquerro Line = papers co-authored together J.A. Ezquerro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200072
2 200965
3 200965
4 200459
5 200254
6 200042
7 200441
8 201440
9 201140
10
A UNIPARAMETRIC HALLEY-TYPE ITERATION WITH FREE SECOND DERIVATIVE
200336
11 201730
12 200530
13 200228
14 199828
15 201325
16 200622
17 200521
18 201121
19 200019
20 201119

About J.A. Ezquerro

J.A. Ezquerro is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Modeling and Simulation, Mathematical Physics and Computational Mechanics, having authored 122 papers that have together received 1.3k indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (115 papers), Advanced Optimization Algorithms Research (74 papers), Matrix Theory and Algorithms (54 papers), Fractional Differential Equations Solutions (41 papers), Numerical methods in inverse problems (18 papers), Advanced Numerical Analysis Techniques (13 papers), Mathematical and Theoretical Analysis (10 papers) and Mathematical functions and polynomials (4 papers). The work is most often cited by research in Numerical Analysis (1.3k citations), Modeling and Simulation (511 citations), Computational Theory and Mathematics (651 citations), Mathematical Physics (207 citations) and Computational Mechanics (145 citations). J.A. Ezquerro has collaborated with scholars based in Spain, United States and France. Frequent co-authors include M.A. Hernández, M.J. Rubio, Natalia Romero, J.M. Gutiérrez, M. A. Salanova, Sergio Amat, Miquel Noguera, Àngela Grau, Juan R. Torregrosa and Alicia Cordero. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Journal of Complexity, Applied Mathematics Letters and Numerical Functional Analysis and Optimization.

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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