| The clock model and its relationship with the Allan and related variances C Zucca, P Tavella IEEE transactions on ultrasonics, ferroelectrics, and frequency control 52 …, 2005 | 272 | 2005 |
| The clock model and its relationship with the Allan and related variances P Tavella, C Zucca | 272* | 2005 |
| A mathematical model for the atomic clock error L Galleani, L Sacerdote, P Tavella, C Zucca Metrologia 40 (3), S257, 2003 | 136 | 2003 |
| A Monte Carlo method for the simulation of first passage times of diffusion processes MT Giraudo, L Sacerdote, C Zucca Methodology and computing in applied probability 3 (2), 215-231, 2001 | 74 | 2001 |
| On the inverse first-passage-time problem for a Wiener process C Zucca, L Sacerdote The Annals of Applied Probability, 1319-1346, 2009 | 51 | 2009 |
| A mathematical model for the atomic clock error in case of jumps C Zucca, P Tavella Metrologia 52 (4), 514, 2015 | 35 | 2015 |
| First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes L Sacerdote, M Tamborrino, C Zucca Journal of Computational and Applied Mathematics 296, 275-292, 2016 | 31 | 2016 |
| First passage times of two-correlated processes: analytical results for the Wiener process and a numerical method for diffusion processes L Sacerdote, M Tamborrino, C Zucca arXiv preprint arXiv:1212.5287, 2012 | 31* | 2012 |
| Detecting dependencies between spike trains of pairs of neurons through copulas L Sacerdote, M Tamborrino, C Zucca Brain research 1434, 243-256, 2012 | 25 | 2012 |
| A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss–Markov E Benedetto, L Sacerdote, C Zucca Journal of Computational and Applied Mathematics 242, 41-52, 2013 | 21 | 2013 |
| A first passage problem for a bivariate diffusion process: numerical solution with an application to neuroscience E Benedetto, L Sacerdote, C Zucca arXiv preprint arXiv:1204.5307, 2012 | 21* | 2012 |
| Detecting atomic clock frequency trends using an optimal stopping method C Zucca, P Tavella, G Peskir Metrologia 53 (3), S89, 2016 | 20 | 2016 |
| The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model P Lansky, L Sacerdote, C Zucca Biological cybernetics 110 (2), 193-200, 2016 | 19 | 2016 |
| Exact simulation of the first-passage time of diffusions S Herrmann, C Zucca Journal of Scientific Computing 79 (3), 1477-1504, 2019 | 18 | 2019 |
| Joint densities of first hitting times of a diffusion process through two time-dependent boundaries L Sacerdote, O Telve, C Zucca Advances in Applied Probability 46 (1), 186-202, 2014 | 17 | 2014 |
| Optimum signal in a diffusion leaky integrate-and-fire neuronal model P Lansky, L Sacerdote, C Zucca Mathematical biosciences 207 (2), 261-274, 2007 | 16 | 2007 |
| Randomness and variability of the neuronal activity described by the Ornstein–Uhlenbeck model L Kostal, P Lansky, C Zucca Network: Computation in Neural Systems 18 (1), 63-75, 2007 | 16 | 2007 |
| Exact simulation of first exit times for one-dimensional diffusion processes S Herrmann, C Zucca ESAIM: Mathematical Modelling and Numerical Analysis 54 (3), 811-844, 2020 | 14 | 2020 |
| On the classification of experimental data modeled via a stochastic leaky integrate and fire model through boundary values L Sacerdote, AEP Villa, C Zucca Bulletin of mathematical biology 68 (6), 1257-1274, 2006 | 14 | 2006 |
| Threshold shape corresponding to a Gamma firing distribution in an Ornstein-Uhlenbeck neuronal model L Sacerdote, C Zucca Scientiae Mathematicae Japonicae 58 (2), 295-306, 2003 | 11 | 2003 |
