Sergio Amat

3.2k citations
157 papers · 2.2k · h-index 25

Impact in

Papers in

    • Iterative Methods for Nonlinear Equations 83
    • Advanced Optimization Algorithms Research 61
    • Advanced Numerical Analysis Techniques 34
    • Advanced Numerical Methods in Computational Mathematics 15

Sergio Amat

147 papers receiving 2.1k citations

Peers

Sergio Amat
Comparison fields: 5 of 76
  • Numerical Analysis 1.7k
  • Modeling and Simulation 531
  • Computational Theory and Mathematics 840
  • Computational Mechanics 612
  • Mathematical Physics 189
Replace Mani Mehra with:
Mani Mehra India
Fazhan Geng China
Jinyun Yuan Brazil
Maı̈tine Bergounioux France
Mohammed Yusuf Waziri Nigeria
Auwal Bala Abubakar Nigeria
Neculai Andrei Romania
Yunhai Xiao China
O. P. Ferreira Brazil
Ülo Lepik Estonia
Sergio Amat relative to Mani Mehra India Mani Mehra's profile →
Citations per field
00.5×10×17.3×
Mani Mehra · 1×
Citations per year

Countries citing papers authored by Sergio Amat

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Amat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Amat, 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 Sergio Amat Line = papers co-authored together Sergio Amat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003223
2
Review of some iterative root-finding methods from a dynamical point of view
2004146
3 2005110
4 201275
5 200872
6 201071
7 200256
8 200356
9 200552
10 201652
11 200549
12 200748
13 200143
14 200441
15 200638
16 200537
17 202033
18 200732
19 201232
20 200531

About Sergio Amat

Sergio Amat is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 157 papers that have together received 2.2k indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (83 papers), Advanced Optimization Algorithms Research (61 papers), Advanced Numerical Analysis Techniques (34 papers), Matrix Theory and Algorithms (34 papers), Image and Signal Denoising Methods (31 papers), Fractional Differential Equations Solutions (28 papers), Advanced Image Processing Techniques (16 papers) and Advanced Numerical Methods in Computational Mathematics (15 papers). The work is most often cited by research in Numerical Analysis (1.7k citations), Modeling and Simulation (531 citations), Computational Theory and Mathematics (840 citations), Computational Mechanics (612 citations) and Mathematical Physics (189 citations). Sergio Amat has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Sonia Busquier, Sergio Plaza, J.M. Gutiérrez, Jacques Liandrat, M.A. Hernández, Rosa Donat, Juan Ruiz, Natalia Romero, Miquel Grau-Sánchez and Á. Alberto Magreñán. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Numerical Algorithms, Mathematics and Computers in Simulation and Applied Mathematics Letters.

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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