A. Ferrer

20 papers receiving 323 citations

Peers

A. Ferrer
Comparison fields: 5 of 45
  • Statistics, Probability and Uncertainty 58
  • Civil and Structural Engineering 169
  • Statistical and Nonlinear Physics 84
  • Mechanics of Materials 162
  • Computational Theory and Mathematics 95
Replace M. Caicedo with:
M. Caicedo Spain
Edward A.W. Maunder United Kingdom
Matthias Leuschner Germany
Diego Hayashi Alonso Brazil
François Louf France
Annika Robens‐Radermacher Germany
Chensen Ding China
Mingwu Yuan China
Edwin E. Forster United States
Étienne Prulière France
A. Ferrer relative to M. Caicedo Spain M. Caicedo's profile →
Citations per field
00.5×1.5×2.0×
M. Caicedo · 1×
Citations per year

Countries citing papers authored by A. Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by A. Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016124
2 201634
3 201734
4 201830
5 201919
6 201616
7 201815
8 201712
9 202110
10 20228
11 20236
12 20215
13 20244
14 20163
15 20222
16 20172
17 20142
18 20142
19 20251
20 20251

About A. Ferrer

A. Ferrer is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Computational Theory and Mathematics, Computational Mechanics and Electrical and Electronic Engineering, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (12 papers), Composite Material Mechanics (11 papers), Composite Structure Analysis and Optimization (8 papers), Advanced Mathematical Modeling in Engineering (5 papers), Numerical methods in engineering (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Advanced Optical Network Technologies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (58 citations), Civil and Structural Engineering (169 citations), Statistical and Nonlinear Physics (84 citations), Mechanics of Materials (162 citations) and Computational Theory and Mathematics (95 citations). A. Ferrer has collaborated with scholars based in Spain, France and Portugal. Frequent co-authors include J.A. Hernández, M. Caicedo, J. Oliver, Sebastián M. Giusti, J. Cante, F. Otero, Samuel Amstutz, Joan Baiges, Charles Dapogny and Jesús Martínez‐Frutos. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering, Computers & Structures, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Composite Structures.

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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