Amparo Gil

98 papers receiving 1.2k citations

Peers

Amparo Gil
Comparison fields: 5 of 126
  • Modeling and Simulation 188
  • Numerical Analysis 217
  • Applied Mathematics 398
  • Computational Theory and Mathematics 213
  • Statistical and Nonlinear Physics 149
Replace Javier Segura with:
Javier Segura Spain
Eric A. Carlen United States
Carmen Chicone United States
Folkmar Bornemann Germany
Alex Townsend United States
J. C. Alexander United States
L. Lopez Italy
Yasuhiko Ikebe Japan
Velimir Jurdjevic Canada
Michele Pavon Italy
Amparo Gil relative to Javier Segura Spain Javier Segura's profile →
Citations per field
00.5×1.5×
Javier Segura · 1×
Citations per year

Countries citing papers authored by Amparo Gil

Since Specialization
Citations

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

Fields of papers citing papers by Amparo Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007306
2 200049
3 201134
4 200033
5 200033
6 200233
7 200033
8 198131
9 200030
10 201228
11 200423
12 200222
13 201422
14 199821
15 200220
16 200718
17 200618
18 199117
19 201417
20 200416

About Amparo Gil

Amparo Gil is a scholar working on Applied Mathematics, Numerical Analysis, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Modeling and Simulation, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (44 papers), Iterative Methods for Nonlinear Equations (22 papers), Electromagnetic Scattering and Analysis (19 papers), Fractional Differential Equations Solutions (19 papers), Numerical Methods and Algorithms (12 papers), Lipid Membrane Structure and Behavior (11 papers), Cellular transport and secretion (11 papers) and Matrix Theory and Algorithms (10 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Numerical Analysis (217 citations), Applied Mathematics (398 citations), Computational Theory and Mathematics (213 citations) and Statistical and Nonlinear Physics (149 citations). Amparo Gil has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Javier Segura, Nico Μ. Τemme, Bernat Soria, T. M. Dunster, Luis M. Gutiérrez, José Villanueva, Iván Quesada, Salvador Viniegra, Ángel Nadal and Alfredo Deaño. Their work appears in journals such as Computer Physics Communications, ACM Transactions on Mathematical Software, Numerical Algorithms, Studies in Applied Mathematics and SIAM Journal on Scientific Computing.

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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