J.A. Hernández

1.2k total citations
31 papers, 799 citations indexed

About

J.A. Hernández is a scholar working on Mechanics of Materials, Statistical and Nonlinear Physics and Mechanical Engineering. According to data from OpenAlex, J.A. Hernández has authored 31 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 12 papers in Statistical and Nonlinear Physics and 10 papers in Mechanical Engineering. Recurrent topics in J.A. Hernández's work include Model Reduction and Neural Networks (10 papers), Numerical methods in engineering (8 papers) and Probabilistic and Robust Engineering Design (6 papers). J.A. Hernández is often cited by papers focused on Model Reduction and Neural Networks (10 papers), Numerical methods in engineering (8 papers) and Probabilistic and Robust Engineering Design (6 papers). J.A. Hernández collaborates with scholars based in Spain, Mexico and Argentina. J.A. Hernández's 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 and has published in prestigious journals such as Journal of Computational Physics, Chemical Physics Letters and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

J.A. Hernández

31 papers receiving 767 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.A. Hernández Spain 14 432 209 205 183 174 31 799
Konstantinos Agathos Switzerland 14 472 1.1× 227 1.1× 56 0.3× 209 1.1× 30 0.2× 26 602
Miao Cui China 23 796 1.8× 631 3.0× 103 0.5× 174 1.0× 41 0.2× 74 1.5k
Miaojuan Peng China 19 1.1k 2.5× 665 3.2× 44 0.2× 483 2.6× 71 0.4× 35 1.2k
Timon Rabczuk Germany 11 175 0.4× 124 0.6× 103 0.5× 89 0.5× 18 0.1× 14 396
Michael Hillman United States 14 842 1.9× 629 3.0× 42 0.2× 373 2.0× 39 0.2× 33 1.0k
Burigede Liu United States 11 156 0.4× 77 0.4× 148 0.7× 65 0.4× 21 0.1× 18 477
Danilo Capecchi Italy 18 368 0.9× 39 0.2× 105 0.5× 640 3.5× 24 0.1× 65 1.0k
Chensen Ding China 14 145 0.3× 164 0.8× 73 0.4× 93 0.5× 40 0.2× 27 398
Yann Favennec France 16 97 0.2× 308 1.5× 89 0.4× 113 0.6× 71 0.4× 48 666
Vladimir Mityushev Poland 15 470 1.1× 110 0.5× 25 0.1× 41 0.2× 363 2.1× 83 802

Countries citing papers authored by J.A. Hernández

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Hernández, J.A., Riccardo Rossi, Stefan Boschert, et al.. (2025). Parallel reduced-order modeling for digital twins using high-performance computing workflows. Computers & Structures. 316. 107867–107867. 1 indexed citations
2.
Hernández, J.A., et al.. (2024). Work Climate and Performance in the Colombian Banking Sector: Bancamía Case Study. 2. 106–106. 1 indexed citations
3.
Rubio, Ramón, A. Ferrer, J.A. Hernández, & Xavier Martínez. (2024). bROM: An extension of beam theory through model order reduction. Computers & Structures. 297. 107326–107326. 2 indexed citations
4.
Hernández, J.A., et al.. (2024). A subspace‐adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models. International Journal for Numerical Methods in Engineering. 125(24). 3 indexed citations
5.
Hernández, J.A., et al.. (2023). Multiscale modeling of prismatic heterogeneous structures based on a localized hyperreduced-order method. Computer Methods in Applied Mechanics and Engineering. 407. 115913–115913. 4 indexed citations
6.
Hernández, J.A.. (2020). A multiscale method for periodic structures using domain decomposition and ECM-hyperreduction. Computer Methods in Applied Mechanics and Engineering. 368. 113192–113192. 21 indexed citations
7.
Bravo, Isidoro Lillo, et al.. (2018). Experimental and numerical study on a freeze protection system for flat-plate solar collectors with silicone peroxide tubes. Applied Thermal Engineering. 135. 446–453. 15 indexed citations
8.
Oliver, J., M. Caicedo, Alfredo E. Huespe, J.A. Hernández, & Emmanuel Roubin. (2016). Reduced order modeling strategies for computational multiscale fracture. Computer Methods in Applied Mechanics and Engineering. 313. 560–595. 90 indexed citations
9.
Hernández, J.A., M. Caicedo, & A. Ferrer. (2016). Dimensional hyper-reduction of nonlinear finite element models via empirical cubature. Computer Methods in Applied Mechanics and Engineering. 313. 687–722. 115 indexed citations
10.
Oliver, J., M. Caicedo, Emmanuel Roubin, Alfredo E. Huespe, & J.A. Hernández. (2015). Continuum approach to computational multiscale modeling of propagating fracture. Computer Methods in Applied Mechanics and Engineering. 294. 384–427. 65 indexed citations
11.
Cante, J., et al.. (2015). On the numerical modeling of granular material flows via the Particle Finite Element Method (PFEM). International Journal of Solids and Structures. 71. 99–125. 54 indexed citations
12.
Cante, J., J.A. Hernández, J. Oliver, et al.. (2014). PFEM-based modeling of industrial granular flows. Computational Particle Mechanics. 1(1). 47–70. 45 indexed citations
13.
Hernández, J.A., J. Oliver, Alfredo E. Huespe, & M. Caicedo. (2012). High-performance model reduction procedures in multiscale simulations. Conicet. 5 indexed citations
14.
Hernández, J.A., J. Oliver, J. Cante, & R. Weyler. (2011). Finite element modelling of ejection cracks in powder metallurgy die compaction processes: case study. Powder Metallurgy. 55(1). 36–44. 4 indexed citations
15.
Hernández, J.A., J. Oliver, J. Cante, & R. Weyler. (2010). Numerical modeling of crack formation in powder forming processes. International Journal of Solids and Structures. 48(2). 292–316. 14 indexed citations
16.
Hartmann, Stefan, J. Oliver, R. Weyler, J. Cante, & J.A. Hernández. (2009). A contact domain method for large deformation frictional contact problems. Part 2: Numerical aspects. Computer Methods in Applied Mechanics and Engineering. 198(33-36). 2607–2631. 50 indexed citations
17.
Hernández, J.A., et al.. (2007). Chaos Theory Applied to Communications -- Part I: Chaos Generators. 50–55. 6 indexed citations
18.
Hernández, J.A., et al.. (2007). Chaos Theory Applied to Communications -- Part I: Chaos Generators. 23. 50–55. 10 indexed citations
19.
Hernández, J.A., et al.. (1977). Unconditional convergence in SCF theory: a general level shift technique. Chemical Physics Letters. 47(3). 581–583. 18 indexed citations
20.
Hernández, J.A., et al.. (1977). Electrostatic corrections to extended Hückel theory. International Journal of Quantum Chemistry. 11(2). 271–276. 11 indexed citations

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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