| A scalable approach for variational data assimilation L D’Amore, R Arcucci, L Carracciuolo, A Murli Journal of Scientific Computing 61 (2), 239-257, 2014 | 33 | 2014 |
| On the variational data assimilation problem solving and sensitivity analysis R Arcucci, L D'Amore, J Pistoia, R Toumi, A Murli Journal of Computational Physics 335, 311-326, 2017 | 28 | 2017 |
| HPC computation issues of the incremental 3D variational data assimilation scheme in OceanVar software L D’Amore, R Arcucci, L Marcellino, A Murli J. Numer. Anal. Ind. Appl. Math 7 (3-4), 91-105, 2012 | 28 | 2012 |
| Natural ventilation in cities: the implications of fluid mechanics J Song, S Fan, W Lin, L Mottet, H Woodward, M Davies Wykes, R Arcucci, ... Building Research & Information 46 (8), 809-828, 2018 | 26 | 2018 |
| Optimal reduced space for variational data assimilation R Arcucci, L Mottet, C Pain, YK Guo Journal of Computational Physics 379, 51-69, 2019 | 22 | 2019 |
| DD-OceanVar: A domain decomposition fully parallel data assimilation software for the Mediterranean Forecasting System L D’Amore, R Arcucci, L Carracciuolo, A Murli Procedia Computer Science 18, 1235-1244, 2013 | 22 | 2013 |
| A decomposition of the tikhonov regularization functional oriented to exploit hybrid multilevel parallelism R Arcucci, L D’Amore, L Carracciuolo, G Scotti, G Laccetti International Journal of Parallel Programming 45 (5), 1214-1235, 2017 | 19 | 2017 |
| A scalable numerical algorithm for solving Tikhonov regularization problems R Arcucci, L D’Amore, S Celestino, G Laccetti, A Murli Parallel Processing and Applied Mathematics, 45-54, 2016 | 18 | 2016 |
| On the problem-decomposition of scalable 4D-Var data assimilation models R Arcucci, L D'Amore, L Carracciuolo 2015 International Conference on High Performance Computing & Simulation …, 2015 | 18 | 2015 |
| A Parallel Three‐dimensional Variational Data Assimilation Scheme L D’Amore, R Arcucci, L Marcellino, A Murli AIP Conference Proceedings 1389 (1), 1829-1831, 2011 | 18 | 2011 |
| Data-driven reduced order model with temporal convolutional neural network P Wu, J Sun, X Chang, W Zhang, R Arcucci, Y Guo, CC Pain Computer Methods in Applied Mechanics and Engineering 360, 112766, 2020 | 12 | 2020 |
| Model error correction in data assimilation by integrating neural networks J Zhu, S Hu, R Arcucci, C Xu, J Zhu, Y Guo Big Data Mining and Analytics 2 (2), 83-91, 2019 | 9 | 2019 |
| Effective variational data assimilation in air-pollution prediction R Arcucci, C Pain, YK Guo Big Data Mining and Analytics 1 (4), 297-307, 2018 | 8 | 2018 |
| An epidemiological modelling approach for COVID-19 via data assimilation P Nadler, S Wang, R Arcucci, X Yang, Y Guo European journal of epidemiology 35 (8), 749-761, 2020 | 7 | 2020 |
| Enhancing CFD-LES air pollution prediction accuracy using data assimilation E Aristodemou, R Arcucci, L Mottet, A Robins, C Pain, YK Guo Building and Environment 165, 106383, 2019 | 7 | 2019 |
| A time-series clustering methodology for knowledge extraction in energy consumption data LGB Ruiz, MC Pegalajar, R Arcucci, M Molina-Solana Expert Systems with Applications 160, 113731, 2020 | 6 | 2020 |
| A Reduced Order Deep Data Assimilation model CQ Casas, R Arcucci, P Wu, C Pain, YK Guo Physica D: Nonlinear Phenomena 412, 132615, 2020 | 5 | 2020 |
| Parallel parity games: a multicore attractor for the Zielonka recursive algorithm R Arcucci, U Marotta, A Murano, L Sorrentino Procedia Computer Science 108, 525-534, 2017 | 4 | 2017 |
| Neural assimilation R Arcucci, L Moutiq, YK Guo International Conference on Computational Science, 155-168, 2020 | 3 | 2020 |
| Weak Constraint Gaussian Processes for optimal sensor placement TH Dur, R Arcucci, L Mottet, MM Solana, C Pain, YK Guo Journal of Computational Science 42, 101110, 2020 | 3 | 2020 |
