Alberto Badías

497 total citations
19 papers, 316 citations indexed

About

Alberto Badías is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alberto Badías has authored 19 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alberto Badías's work include Model Reduction and Neural Networks (13 papers), Lattice Boltzmann Simulation Studies (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Alberto Badías is often cited by papers focused on Model Reduction and Neural Networks (13 papers), Lattice Boltzmann Simulation Studies (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Alberto Badías collaborates with scholars based in Spain, France and United States. Alberto Badías's co-authors include Elías Cueto, Francisco Chinesta, David González, Icíar Alfaro, David S. González-González, Francisco Chinesta, Ashis G. Banerjee, Hyung Yun Choi, Antonio Falcó and Man Yong Han and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Alberto Badías

18 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Badías Spain 11 177 67 56 47 40 19 316
Levi D. McClenny United States 6 195 1.1× 58 0.9× 68 1.2× 35 0.7× 27 0.7× 7 342
Zhicheng Wang China 8 134 0.8× 47 0.7× 75 1.3× 72 1.5× 23 0.6× 18 312
Trevor Campbell Canada 8 118 0.7× 98 1.5× 40 0.7× 37 0.8× 19 0.5× 24 364
Lei Hu China 11 64 0.4× 26 0.4× 103 1.8× 164 3.5× 58 1.4× 57 423
Xiuting Li China 10 75 0.4× 72 1.1× 44 0.8× 160 3.4× 17 0.4× 25 352
Xiaowei Yang China 8 37 0.2× 35 0.5× 28 0.5× 50 1.1× 160 4.0× 17 345
Antoine Blanchard United States 13 64 0.4× 26 0.4× 183 3.3× 167 3.6× 34 0.8× 24 411
Ton Backx Netherlands 9 299 1.7× 26 0.4× 145 2.6× 258 5.5× 149 3.7× 26 596
Luis J. Morales-Mendoza Mexico 11 40 0.2× 37 0.6× 40 0.7× 67 1.4× 6 0.1× 59 412

Countries citing papers authored by Alberto Badías

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Badías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Badías

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

All Works

19 of 19 papers shown
1.
Badías, Alberto, et al.. (2025). Meshgraphnets informed locally by thermodynamics for the simulation of flows around arbitrarily shaped objects. Advanced Modeling and Simulation in Engineering Sciences. 12(1).
2.
Badías, Alberto, et al.. (2024). Learning cell migration mechanisms using machine learning. Results in Engineering. 22. 102295–102295. 2 indexed citations
3.
Badías, Alberto, et al.. (2023). Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. Computational Mechanics. 72(3). 553–561. 10 indexed citations
4.
Badías, Alberto, et al.. (2023). Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling. Archives of Computational Methods in Engineering. 31(4). 1897–1914. 5 indexed citations
5.
Badías, Alberto, et al.. (2023). Thermodynamics-informed neural networks for physically realistic mixed reality. Computer Methods in Applied Mechanics and Engineering. 407. 115912–115912. 14 indexed citations
6.
Badías, Alberto, et al.. (2023). A thermodynamics-informed active learning approach to perception and reasoning about fluids. Computational Mechanics. 72(3). 577–591. 12 indexed citations
7.
Badías, Alberto & Ashis G. Banerjee. (2023). Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10380–10393. 2 indexed citations
8.
Badías, Alberto, et al.. (2022). Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2136–2150. 10 indexed citations
9.
Badías, Alberto, et al.. (2022). Thermodynamics-Informed Graph Neural Networks. IEEE Transactions on Artificial Intelligence. 5(3). 967–976. 28 indexed citations
10.
Badías, Alberto, Icíar Alfaro, David González, Francisco Chinesta, & Elías Cueto. (2021). MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7764–7777. 4 indexed citations
11.
Chinesta, Francisco, Antonio Falcó, Alberto Badías, et al.. (2021). Empowering Advanced Driver-Assistance Systems from Topological Data Analysis. Mathematics. 9(6). 634–634. 7 indexed citations
12.
Badías, Alberto, et al.. (2021). Deep learning of thermodynamics-aware reduced-order models from data. Computer Methods in Applied Mechanics and Engineering. 379. 113763–113763. 61 indexed citations
13.
Badías, Alberto, et al.. (2020). Structure-preserving neural networks. Journal of Computational Physics. 426. 109950–109950. 45 indexed citations
14.
Badías, Alberto, et al.. (2020). Digital twins that learn and correct themselves. International Journal for Numerical Methods in Engineering. 123(13). 3034–3044. 33 indexed citations
15.
Badías, Alberto, David González, Icíar Alfaro, Francisco Chinesta, & Elías Cueto. (2020). Real‐time interaction of virtual and physical objects in mixed reality applications. International Journal for Numerical Methods in Engineering. 121(17). 3849–3868. 12 indexed citations
16.
Badías, Alberto, et al.. (2019). An augmented reality platform for interactive aerodynamic design and analysis. International Journal for Numerical Methods in Engineering. 120(1). 125–138. 17 indexed citations
17.
Badías, Alberto, Icíar Alfaro, David González, Francisco Chinesta, & Elías Cueto. (2018). Reduced order modeling for physically-based augmented reality. Computer Methods in Applied Mechanics and Engineering. 341. 53–70. 13 indexed citations
18.
González, David, Alberto Badías, Icíar Alfaro, Francisco Chinesta, & Elías Cueto. (2017). Model order reduction for real-time data assimilation through Extended Kalman Filters. Computer Methods in Applied Mechanics and Engineering. 326. 679–693. 23 indexed citations
19.
Badías, Alberto, David S. González-González, Icíar Alfaro, Francisco Chinesta, & Elías Cueto. (2017). Local proper generalized decomposition. International Journal for Numerical Methods in Engineering. 112(12). 1715–1732. 18 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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