| The exceptional 2018 European water seesaw calls for action on adaptation A Toreti, A Belward, I Perez‐Dominguez, G Naumann, J Luterbacher, ... Earth's Future 7 (6), 652-663, 2019 | 169 | 2019 |
| Spatio-temporal point process statistics: a review JA González, FJ Rodríguez-Cortés, O Cronie, J Mateu Spatial Statistics 18, 505-544, 2016 | 130 | 2016 |
| A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions O Cronie, MNM Van Lieshout Biometrika 105 (2), 455-462, 2018 | 82 | 2018 |
| Concurrent climate extremes in the key wheat producing regions of the world A Toreti, O Cronie, M Zampieri Scientific reports 9 (1), 5493, 2019 | 70 | 2019 |
| Resample-smoothing of Voronoi intensity estimators MM Moradi, O Cronie, E Rubak, R Lachieze-Rey, J Mateu, A Baddeley Statistics and computing 29 (5), 995-1010, 2019 | 50 | 2019 |
| A J‐function for Inhomogeneous Spatio‐temporal Point Processes O Cronie, MNM Van Lieshout Scandinavian Journal of Statistics 42 (2), 562-579, 2015 | 40 | 2015 |
| Summary statistics for inhomogeneous marked point processes O Cronie, MNM Van Lieshout Annals of the Institute of Statistical Mathematics 68 (4), 905-928, 2016 | 39 | 2016 |
| Inhomogeneous higher-order summary statistics for point processes on linear networks O Cronie, M Moradi, J Mateu Statistics and computing 30 (5), 1221-1239, 2020 | 33 | 2020 |
| The exceptional 2018 European water seesaw calls for action on adaptation, Earths Future, 7, 652–663 A Toreti, A Belward, I Perez-Dominguez, G Naumann, J Luterbacher, ... | 33 | 2019 |
| Some edge correction methods for marked spatio-temporal point process models O Cronie, A Särkkä Computational Statistics & Data Analysis 55 (7), 2209-2220, 2011 | 24 | 2011 |
| Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes FL Bayisa, M Ådahl, P Rydén, O Cronie Spatial Statistics 39, 100471, 2020 | 21 | 2020 |
| Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data M Ghorbani, O Cronie, J Mateu, J Yu Test 30 (3), 529-568, 2021 | 20 | 2021 |
| Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation J Mateu, M Moradi, O Cronie Spatial Statistics 37, 100400, 2020 | 20 | 2020 |
| Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data A Iftimi, O Cronie, F Montes Scandinavian Journal of Statistics 46 (3), 661-685, 2019 | 18 | 2019 |
| Pulmonary embolism and deep venous thrombosis after COVID-19: long-term risk in a population-based cohort study H Sjöland, M Lindgren, T Toska, PO Hansson, KG Sandblad, C Alex, ... Research and practice in thrombosis and haemostasis 7 (5), 100284, 2023 | 15 | 2023 |
| Adaptive algorithm for sparse signal recovery FL Bayisa, Z Zhou, O Cronie, J Yu Digital Signal Processing 87, 10-18, 2019 | 12 | 2019 |
| Spatiotemporal modeling of Swedish scots pine stands O Cronie, K Nyström, J Yu Forest Science 59 (5), 505-516, 2013 | 12 | 2013 |
| Hierarchical spatio-temporal change-point detection M Moradi, O Cronie, U Pérez-Goya, J Mateu The American Statistician 77 (4), 390-400, 2023 | 10 | 2023 |
| Severe COVID‐19 in people 55 and older during the first year of the pandemic in Sweden A Rosengren, CE Lundberg, M Söderberg, A Santosa, J Edqvist, ... Journal of Internal Medicine, 2022 | 10 | 2022 |
| Bandwidth selection for kernel estimators of the spatial intensity function O Cronie, MNM Van Lieshout arXiv preprint arXiv:1611.10221, 2016 | 10 | 2016 |
Jorge MateuUniversitat Jaume IVerifierad e-postadress på uji.es
