| Heavy Higgs production at future colliders G Altarelli, B Mele, F Pitolli Nuclear Physics B 287, 205-224, 1987 | 297 | 1987 |
| A hierarchical Krylov–Bayes iterative inverse solver for MEG with physiological preconditioning D Calvetti, A Pascarella, F Pitolli, E Somersalo, B Vantaggi Inverse Problems 31 (12), 125005, 2015 | 57 | 2015 |
| Adaptive iterative thresholding algorithms for magnetoencephalography (MEG) M Fornasier, F Pitolli Journal of Computational and Applied Mathematics 221 (2), 386-395, 2008 | 57 | 2008 |
| A class of totally positive refinable functions L Gori, F Pitolli Rendiconti di Matematica, Serie VII 20, 305-322, 2000 | 56* | 2000 |
| Bayes meets Krylov: Statistically inspired preconditioners for CGLS D Calvetti, F Pitolli, E Somersalo, B Vantaggi SIAM Review, in press, 2017 | 49* | 2017 |
| Brain activity mapping from MEG data via a hierarchical Bayesian algorithm with automatic depth weighting D Calvetti, A Pascarella, F Pitolli, E Somersalo, B Vantaggi Brain topography 32 (3), 363-393, 2019 | 40 | 2019 |
| A multiscale collocation method for fractional differential problems L Pezza, F Pitolli Mathematics and Computers in Simulation 147, 210-219, 2018 | 40 | 2018 |
| A Fractional B-spline Collocation Method for the Numerical Solution of Fractional Predator-Prey Models F Pitolli Fractal and Fractional 2 (1), 13, 2018 | 39 | 2018 |
| Bayes meets Krylov: Statistically inspired preconditioners for CGLS D Calvetti, F Pitolli, E Somersalo, B Vantaggi SIAM Review 60 (2), 429-461, 2018 | 37 | 2018 |
| Gauss quadrature for refinable weight functions W Gautschi, L Gori, F Pitolli Applied and Computational Harmonic Analysis 8 (3), 249-257, 2000 | 31 | 2000 |
| Multiresolution analysis based on certain compactly supported refinable functions L Gori, F Pitolli Approximation and optimization, 81-90, 1997 | 27 | 1997 |
| Approximation of the Riesz–Caputo Derivative by Cubic Splines F Pitolli, C Sorgentone, E Pellegrino Algorithms 15 (2), 69, 2022 | 23 | 2022 |
| Ternary shape-preserving subdivision schemes F Pitolli Mathematics and Computers in Simulation 106, 185-194, 2014 | 23 | 2014 |
| A fractional spline collocation-Galerkin method for the time-fractional diffusion equation L Pezza, F Pitolli Communications in Applied and Industrial Mathematics 9, 104-120, 2018 | 20 | 2018 |
| Computation of quadrature rules for integration with respect to refinable functions on assigned nodes F Calabrò, C Manni, F Pitolli Applied Numerical Mathematics 90, 168–189, 2015 | 19 | 2015 |
| Totally positive functions through nonstationary subdivision schemes C Conti, L Gori, F Pitolli Journal of computational and applied mathematics 200 (1), 255-265, 2007 | 18 | 2007 |
| Refinement masks of Hurwitz type in the cardinal interpolation problem F Pitolli Rend. Mat. Ser. VII 18, 549-563, 1998 | 17 | 1998 |
| A collocation method in spline spaces for the solution of linear fractional dynamical systems E Pellegrino, L Pezza, F Pitolli Mathematics and Computers in Simulation 176, 266-278, 2020 | 16 | 2020 |
| Optimal B-Spline Bases for the Numerical Solution of Fractional Differential Problems F Pitolli Axioms 7 (3), 46, 2018 | 16 | 2018 |
| A Fractional Spline Collocation Method for the Fractional-order Logistic Equation F Pitolli, L Pezza in: Fasshauer G., Schumaker L., eds, Approximation Theory XV: San Antonio …, 2017 | 16 | 2017 |
Barbara VantaggiDept. MEMOTEF, University La Sapienza of RomeEmail verificata su uniroma1.it
