| FAIR Principles for Research Software (FAIR4RS Principles) MB Neil P. Chue Hong*, Daniel S. Katz*, ... Research Data Alliance, 2021 | 115* | 2021 |
| Stem cells in skin regeneration: biomaterials and computational models D Tartarini, E Mele Frontiers in Bioengineering and Biotechnology 3, 2016 | 85* | 2016 |
| Cellular response to surface morphology: electrospinning and computational modeling A Denchai, D Tartarini, E Mele Frontiers in Bioengineering and Biotechnology 6, 155, 2018 | 81 | 2018 |
| FAIR principles for research software (FAIR4RS principles), Research Data Alliance NP Chue Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ... URL https://doi. org/10.15497/RDA00065, 2021 | 12 | 2021 |
| A grid-enabled protein secondary structure predictor M Mirto, M Cafaro, SL Fiore, D Tartarini, G Aloisio IEEE Transactions on Nanobioscience 6 (2), 124-130, 2007 | 12 | 2007 |
| The VPH Hypermodelling framework for cancer multiscale models in the clinical practice D Tartarini, K Duan, N Gruel, D Testi, D Walker, M Viceconti Proceedings of the 2014 6th International Advanced Research Workshop on In …, 2014 | 11 | 2014 |
| Fair principles for research software (FAIR4RS principles), 2022 NP Chue Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ... May, 0 | 8 | |
| VPH-HF: A software framework for the execution of complex subject-specific physiology modelling workflows M Viceconti, S Bnà, D Tartarini, S Sfakianakis, J Grogan, D Walker, ... Journal of Computational Science 25, 101-114, 2018 | 5 | 2018 |
| Gpu approach for hertzian potential formulation tool oriented on electromagnetic nanodevices D Tartarini, A Massaro Progress In Electromagnetics Research M 17, 135-150, 2011 | 5 | 2011 |
| FAIR principles for research software version 1.0 NP Chue Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ... FAIR4RS Principles v1. 0). Research Data Alliance. DOI: https://doi. org/10 …, 2022 | 4 | 2022 |
| The LIBI grid platform for bioinformatics M Mirto, I Epicoco, S Fiore, M Cafaro, A Negro, D Tartarini, D Lezzi, ... Handbook of Research on Computational Grid Technologies for Life Sciences …, 2009 | 3 | 2009 |
| Bayesian Phylogenetic Inference in the LIBI Grid platform: a tool to explore large data sets M Mirto, S Vicario, D Tartarini, I Epicoco, C Saccone, G Aloisio 2008 IEEE International Symposium on Parallel and Distributed Processing …, 2008 | 3 | 2008 |
| Design, Modeling and Manufacturing of Scaffolds to Control Cell-Biomaterial Interactions in Tissue Engineering E Mele, D Tartarini, L Moroni Frontiers in Bioengineering and Biotechnology 10, 253, 2022 | 1 | 2022 |
| A protein structure prediction service in the ProGenGrid system M Mirto, A Ferramosca, D Tartarini, S Romano, A Negro, G Tasco, S Fiore, ... Studies in health technology and informatics 138, 135, 2008 | 1 | 2008 |
| AI-CARE: Digital twin platform for cancer research D Tartarini, JM Cummins Virtual Physiological Human conference 2024, 2024 | | 2024 |
| pFIRE: parallel Framework for Image REgistration D Tartarini, I Benemerito, P Li, Xinshan, Richmond, A Narracott, A Marzo CompBiomed Conference 2021, 2021 | | 2021 |
| ExaHyPE’s OpenMP GPGPU Port—Lessons Learned T Weinzierl https://web.archive.org/web/20200918132327/http://www.peano-framework.org/wp …, 2020 | | 2020 |
| The VPH Hypermodelling Framework for cancer research D Tartarini, K Duan, N Gruel, d Testi, DC Walker, M Viceconti Virtual Physiological Human conference, 2014 | | 2014 |
| Automated target-specific code generation for finite element methods in the FEniCS framework D Tartarini, GN Wells ECCOMAS2012 European Congress on Computational Methods in Applied Sciences …, 2012 | | 2012 |
| GPU implementation of Hertzian Potential Formulation for simulation of nanosensors D Tartarini, A Massaro 2011 Numerical Simulation of Optoelectronic Devices, 109-110, 2011 | | 2011 |
Elisa MeleReader (Associate Professor) in Biomaterials, Department of Materials, Loughborough UniversityEmail verificata su lboro.ac.uk
