Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. - Ramon Amela; Cristian Ramon-Cortes; Jorge Ejarque; Javier Conejero; Rosa M. Badia (PyHPC@SC, 2017)

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests. - Cristian Ramon-Cortes; Ramon Amela; Jorge Ejarque; Philippe Clauss; Rosa M. Badia (CoRR, 2018)

Efficient development of high performance data analytics in Python. - Javier Álvarez Cid-Fuentes; Pol Álvarez; Ramon Amela; Kuninori Ishii; Rafael K. Morizawa; Rosa M. Badia (Future Gener. Comput. Syst., 2020)

AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. - Cristian Ramon-Cortes; Ramon Amela; Jorge Ejarque; Philippe Clauss; Rosa M. Badia (Int. J. High Perform. Comput. Appl., 2020)

A Parallel Dynamic Asynchronous Framework for Uncertainty Quantification by Hierarchical Monte Carlo Algorithms. - Riccardo Tosi; Ramon Amela; Rosa M. Badia; Riccardo Rossi (J. Sci. Comput., 2021)

BitVMX: A CPU for Universal Computation on Bitcoin. - Sergio Demian Lerner; Ramon Amela; Shreemoy Mishra; Martin Jonas; Javier Álvarez Cid-Fuentes (CoRR, 2024)

Union: A Trust-minimized Bridge for Rootstock. - Ramon Amela; Shreemoy Mishra; Sergio Demian Lerner; Javier Álvarez Cid-Fuentes (CoRR, 2025)