Rubén Ibáñez

35 total papers · 746 total citations
23 papers, 565 citations indexed

About

Rubén Ibáñez is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials and Statistics, Probability and Uncertainty. According to data from OpenAlex, Rubén Ibáñez has authored 23 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 8 papers in Mechanics of Materials and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Rubén Ibáñez's work include Model Reduction and Neural Networks (11 papers), Probabilistic and Robust Engineering Design (6 papers) and Numerical methods in engineering (4 papers). Rubén Ibáñez is often cited by papers focused on Model Reduction and Neural Networks (11 papers), Probabilistic and Robust Engineering Design (6 papers) and Numerical methods in engineering (4 papers). Rubén Ibáñez collaborates with scholars based in France, Spain and Lebanon. Rubén Ibáñez's co-authors include Francisco Chinesta, Elías Cueto, Emmanuelle Abisset‐Chavanne, José Vicente Aguado, David González, Jean Louis Duval, Pierre Ladevèze, Domenico Borzacchiello, Antonio Huerta and Amine Ammar and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, Computers & Structures and Computational Mechanics.

In The Last Decade

Rubén Ibáñez

23 papers receiving 555 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rubén Ibáñez 242 189 157 139 136 23 565
Icíar Alfaro 248 1.0× 222 1.2× 130 0.8× 173 1.2× 109 0.8× 47 697
F. Chinesta 163 0.7× 251 1.3× 67 0.4× 125 0.9× 77 0.6× 19 528
Nikolaos N. Vlassis 214 0.9× 265 1.4× 150 1.0× 116 0.8× 68 0.5× 17 569
Felipe Bordeu 223 0.9× 257 1.4× 93 0.6× 143 1.0× 111 0.8× 21 644
Hengyang Li 140 0.6× 265 1.4× 129 0.8× 128 0.9× 45 0.3× 27 688
Moritz Flaschel 306 1.3× 227 1.2× 313 2.0× 99 0.7× 118 0.9× 17 597
F. Chinesta 140 0.6× 237 1.3× 110 0.7× 107 0.8× 70 0.5× 20 546
Daniel Petit 206 0.9× 129 0.7× 54 0.3× 198 1.4× 137 1.0× 47 626
David Néron 252 1.0× 241 1.3× 69 0.4× 66 0.5× 203 1.5× 40 511
Christian Weißenfels 135 0.6× 267 1.4× 63 0.4× 202 1.5× 40 0.3× 26 636

Countries citing papers authored by Rubén Ibáñez

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Ibáñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Ibáñez

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

All Works

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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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