J.A. Hernández
- Mechanics of Materials top 2%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Civil and Structural Engineering top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- J. OliverM. CaicedoJ. CanteAlfredo E. HuespeA. FerrerEmmanuel RoubinR. WeylerStefan Hartmann
- Topics
- Model Reduction and Neural Networks (10 papers)Numerical methods in engineering (8 papers)Probabilistic and Robust Engineering Design (6 papers)
- Cited by
- Mechanics of MaterialsStatistical and Nonlinear PhysicsStatistics, Probability and Uncertainty
In The Last Decade
J.A. Hernández
31 papers receiving 767 citations
Peers
Comparison fields: 5 of 65
- Mechanics of Materials 432
- Computational Mechanics 209
- Statistical and Nonlinear Physics 205
- Civil and Structural Engineering 183
- Computational Theory and Mathematics 174
Countries citing papers authored by J.A. Hernández
This map shows the geographic impact of J.A. Hernández'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 J.A. Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.A. Hernández more than expected).
Fields of papers citing papers by J.A. Hernández
This network shows the impact of papers produced by J.A. Hernández. 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 J.A. Hernández. The network helps show where J.A. Hernández may publish in the future.
Co-authorship network of co-authors of J.A. Hernández
This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Hernández. A scholar is included among the top collaborators of J.A. Hernández 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 J.A. Hernández. J.A. Hernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 15 | |
| 8 | 90 | |
| 9 | 115 | |
| 10 | 65 | |
| 11 | 54 | |
| 12 | 45 | |
| 13 | High-performance model reduction procedures in multiscale simulations | 5 |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 50 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 18 | |
| 20 | 11 |
About J.A. Hernández
J.A. Hernández is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Structural Biology, having authored 31 papers that have together received 799 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (10 papers), Numerical methods in engineering (8 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Mechanics of Materials (432 citations), Statistical and Nonlinear Physics (205 citations) and Statistics, Probability and Uncertainty (114 citations). J.A. Hernández has collaborated with scholars based in Spain, Mexico and Argentina. Frequent co-authors include J. Oliver, M. Caicedo, J. Cante, Alfredo E. Huespe, A. Ferrer, Emmanuel Roubin, R. Weyler, Stefan Hartmann, Ferrán Sanz and Hans‐Åke Häggblad. Their work appears in journals such as Journal of Computational Physics, Chemical Physics Letters and Computer Methods in Applied Mechanics and Engineering.
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.