Ferran Vidal-Codina
Impact in
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- Metamaterials and Metasurfaces Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
Papers in
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- Model Reduction and Neural Networks 4
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- Probabilistic and Robust Engineering Design 3
- Co-authors
- J. Peraire (13 shared papers)Ngoc Cuong Nguyen (12 shared papers)Sang‐Hyun Oh (9 shared papers)Daehan Yoo (6 shared papers)Cristian Ciracì (5 shared papers)David R. Smith (2 shared papers)Michael B. Giles (2 shared papers)Luis Martín-Moreno (2 shared papers)
- Journals
- Journal of Computational Physics (5 papers)Nano Letters (2 papers)Nature Communications (1 paper)Optics Express (1 paper)SIAM/ASA Journal on Uncertainty Quantification (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Ferran Vidal-Codina
16 papers receiving 323 citations
Peers
Comparison fields: 5 of 42
- Electronic, Optical and Magnetic Materials 90
- Biomedical Engineering 146
- Statistical and Nonlinear Physics 28
- Statistics, Probability and Uncertainty 18
- Orthopedics and Sports Medicine 16
Countries citing papers authored by Ferran Vidal-Codina
This map shows the geographic impact of Ferran Vidal-Codina'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 Ferran Vidal-Codina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferran Vidal-Codina more than expected).
Fields of papers citing papers by Ferran Vidal-Codina
This network shows the impact of papers produced by Ferran Vidal-Codina. 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 Ferran Vidal-Codina. The network helps show where Ferran Vidal-Codina may publish in the future.
Co-authors
The 25 scholars most cited alongside Ferran Vidal-Codina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 2020 | 31 | |
| 3 | 2022 | 28 | |
| 4 | 2015 | 26 | |
| 5 | 2017 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 24 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 |
About Ferran Vidal-Codina
Ferran Vidal-Codina is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Biomedical Engineering, Orthopedics and Sports Medicine and Computational Mechanics, having authored 16 papers that have together received 332 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (7 papers), Model Reduction and Neural Networks (4 papers), Probabilistic and Robust Engineering Design (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Electromagnetic Scattering and Analysis (2 papers), Terahertz technology and applications (2 papers), Sports Performance and Training (2 papers) and Crime Patterns and Interventions (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (90 citations), Biomedical Engineering (146 citations), Statistical and Nonlinear Physics (28 citations), Statistics, Probability and Uncertainty (18 citations) and Orthopedics and Sports Medicine (16 citations). Ferran Vidal-Codina has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include J. Peraire, Ngoc Cuong Nguyen, Sang‐Hyun Oh, Daehan Yoo, Cristian Ciracì, David R. Smith, Michael B. Giles, Luis Martín-Moreno, Hatice Altug and Aurelian John‐Herpin. Their work appears in journals such as Journal of Computational Physics, Nano Letters, Nature Communications, Optics Express and SIAM/ASA Journal on Uncertainty Quantification.
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.