| BigBWA: approaching the Burrows–Wheeler aligner to Big Data technologies JM Abuín, JC Pichel, TF Pena, J Amigo Bioinformatics 31 (24), 4003-4005, 2015 | 187 | 2015 |
| Review of distributed quantum computing: from single qpu to high performance quantum computing D Barral, FJ Cardama, G Díaz-Camacho, D Faílde, IF Llovo, ... Computer Science Review 57, 100747, 2025 | 111 | 2025 |
| SparkBWA: speeding up the alignment of high-throughput DNA sequencing data JM Abuín, JC Pichel, TF Pena, J Amigo PloS one 11 (5), e0155461, 2016 | 107 | 2016 |
| VeryFastTree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies C Piñeiro, JM Abuín, JC Pichel Bioinformatics 36 (17), 4658-4659, 2020 | 76 | 2020 |
| Image segmentation based on merging of sub-optimal segmentations JC Pichel, DE Singh, FF Rivera Pattern recognition letters 27 (10), 1105-1116, 2006 | 71 | 2006 |
| Optimization of sparse matrix–vector multiplication using reordering techniques on GPUs JC Pichel, FF Rivera, M Fernández, A Rodríguez Microprocessors and Microsystems 36 (2), 65-77, 2012 | 70 | 2012 |
| A big data platform for real time analysis of signs of depression in social media R Martínez-Castaño, JC Pichel, DE Losada International journal of environmental research and public health 17 (13), 4752, 2020 | 57 | 2020 |
| LinguaKit: a Big Data-based multilingual tool for linguistic analysis and information extraction P Gamallo, M Garcia, C Piñeiro, R Martinez-Castano, JC Pichel 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 57 | 2018 |
| Reordering algorithms for increasing locality on multicore processors JC Pichel, DE Singh, J Carretero 2008 10th IEEE International Conference on High Performance Computing and …, 2008 | 47 | 2008 |
| Improving the locality of the sparse matrix-vector product on shared memory multiprocessors JC Pichel, DB Heras, JC Cabaleiro, FF Rivera 12th Euromicro Conference on Parallel, Distributed and Network-Based …, 2004 | 47 | 2004 |
| Performance optimization of irregular codes based on the combination of reordering and blocking techniques JC Pichel, DB Heras, JC Cabaleiro, FF Rivera Parallel Computing 31 (8-9), 858-876, 2005 | 43 | 2005 |
| A big data approach to metagenomics for all-food-sequencing R Kobus, JM Abuín, A Müller, SL Hellmann, JC Pichel, TF Pena, ... BMC bioinformatics 21 (1), 102, 2020 | 34 | 2020 |
| 3DyRM: a dynamic roofline model including memory latency information OG Lorenzo, TF Pena, JC Cabaleiro, JC Pichel, FF Rivera The Journal of Supercomputing 70 (2), 696-708, 2014 | 30 | 2014 |
| Evaluating search engines and large language models for answering health questions M Fernández-Pichel, JC Pichel, DE Losada npj Digital Medicine 8 (1), 153, 2025 | 25* | 2025 |
| PASTASpark: multiple sequence alignment meets Big Data JM Abuín, TF Pena, JC Pichel Bioinformatics 33 (18), 2948-2950, 2017 | 25 | 2017 |
| Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data P Gamallo, JC Pichel, M Garcia, JM Abuín, TF Pena Procesamiento del Lenguaje Natural 53, 17-24, 2014 | 22 | 2014 |
| Sparse matrix classification on imbalanced datasets using convolutional neural networks JC Pichel, B Pateiro-Lopez IEEE Access 7, 82377-82389, 2019 | 19 | 2019 |
| Data locality aware strategy for two-phase collective I/O R Filgueira, DE Singh, JC Pichel, F Isaila, J Carretero International Conference on High Performance Computing for Computational …, 2008 | 19 | 2008 |
| A new approach for sparse matrix classification based on deep learning techniques JC Pichel, B Pateiro-López 2018 IEEE International Conference on Cluster Computing (CLUSTER), 46-54, 2018 | 18 | 2018 |
| Perldoop: Efficient execution of Perl scripts on Hadoop clusters JM Abuín, JC Pichel, TF Pena, P Gamallo, M Garcia 2014 IEEE International Conference on Big Data (Big Data), 766-771, 2014 | 18 | 2014 |
Tomás Fernández PenaCiTIUS, Univ. Santiago de Compostela (Spain)Verified email at usc.es
