| Deep learning electromagnetic inversion with convolutional neural networks V Puzyrev Geophysical Journal International 218 (2), 817-832, 2019 | 339 | 2019 |
| A parallel finite-element method for three-dimensional controlled-source electromagnetic forward modelling V Puzyrev, J Koldan, J de la Puente, G Houzeaux, M Vázquez, JM Cela Geophysical Journal International 193 (2), 678-693, 2013 | 237 | 2013 |
| Inversion of 1D frequency-and time-domain electromagnetic data with convolutional neural networks V Puzyrev, A Swidinsky Computers & geosciences 149, 104681, 2021 | 105 | 2021 |
| Elastic full-waveform inversion of vertical seismic profile data acquired with distributed acoustic sensors A Egorov, J Correa, A Bóna, R Pevzner, K Tertyshnikov, S Glubokovskikh, ... Geophysics 83 (3), R273-R281, 2018 | 97 | 2018 |
| Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems V Puzyrev, S Koric, S Wilkin Computers & Geosciences 89, 79-87, 2016 | 82 | 2016 |
| Algebraic multigrid preconditioning within parallel finite-element solvers for 3-D electromagnetic modelling problems in geophysics J Koldan, V Puzyrev, J de la Puente, G Houzeaux, JM Cela Geophysical Journal International 197 (3), 1442-1458, 2014 | 72 | 2014 |
| Time‐lapse full waveform inversion of vertical seismic profile data: Workflow and application to the CO2CRC Otway project A Egorov, R Pevzner, A Bóna, S Glubokovskikh, V Puzyrev, ... Geophysical Research Letters 44 (14), 7211-7218, 2017 | 71 | 2017 |
| Three-Dimensional Modeling of the Casing Effect in Onshore Controlled-Source Electromagnetic Surveys V Puzyrev, E Vilamajo, P Queralt, J Ledo, A Marcuello Surveys in Geophysics 38 (2), 527–545, 2017 | 56 | 2017 |
| Dispersion-optimized quadrature rules for isogeometric analysis: modified inner products, their dispersion properties, and optimally blended schemes V Puzyrev, Q Deng, V Calo Computer Methods in Applied Mechanics and Engineering 320, 421-443, 2017 | 55 | 2017 |
| A review of block Krylov subspace methods for multisource electromagnetic modelling V Puzyrev, JM Cela Geophysical Journal International 202 (2), 1241-1252, 2015 | 49 | 2015 |
| Unsupervised seismic facies classification using deep convolutional autoencoder V Puzyrev, C Elders Geophysics 87 (4), IM125-IM132, 2022 | 46 | 2022 |
| Dispersion-minimizing quadrature rules for C1 quadratic isogeometric analysis Q Deng, M Bartoň, V Puzyrev, V Calo Computer Methods in Applied Mechanics and Engineering 328, 554-564, 2018 | 34 | 2018 |
| Dispersion optimized quadratures for isogeometric analysis V Calo, Q Deng, V Puzyrev Journal of Computational and Applied Mathematics 355, 283-300, 2019 | 33 | 2019 |
| Spectral approximation properties of isogeometric analysis with variable continuity V Puzyrev, Q Deng, V Calo Computer Methods in Applied Mechanics and Engineering 334, 22-39, 2018 | 31 | 2018 |
| AnalyZr: A Python application for zircon grain image segmentation and shape analysis T Scharf, CL Kirkland, ML Daggitt, M Barham, V Puzyrev Computers & Geosciences 162, 105057, 2022 | 29 | 2022 |
| Три виміри логіко-математичної компетентності СА Раков, ОП Вашуленко, ВП Горех, АІ Миляник, ВВ Пузирьов Вісник. Тестування і моніторинг в освіті, 6-15, 2009 | 28 | 2009 |
| Deep learning for gas sensing using MOFs coated weakly-coupled microbeams M Ghommem, V Puzyrev, R Sabouni, F Najar Applied Mathematical Modelling 105, 711-728, 2022 | 27 | 2022 |
| pyROM: A computational framework for reduced order modeling V Puzyrev, M Ghommem, S Meka Journal of computational science 30, 157-173, 2019 | 26 | 2019 |
| Fluid sensing using microcantilevers: From physics-based modeling to deep learning M Ghommem, V Puzyrev, F Najar Applied Mathematical Modelling 88, 224-237, 2020 | 25 | 2020 |
| Modeling of resistivity and acoustic borehole logging measurements using finite element methods D Pardo, PJ Matuszyk, V Puzyrev, C Torres-Verdin, MJ Nam, VM Calo Elsevier, 2021 | 24 | 2021 |
Jose M. CelaCASE department directorVerified email at bsc.es
