| The gamma distribution model for pulsed-field gradient NMR studies of molecular-weight distributions of polymers M Röding, D Bernin, J Jonasson, A Särkkä, D Topgaard, M Rudemo, ... Journal of magnetic resonance 222, 105-111, 2012 | 95 | 2012 |
| Parameter estimation for marked Gibbs point processes through the maximum pseudo-likelihood method M Goulard, A Särkkä, P Grabarnik Scandinavian Journal of Statistics, 365-379, 1996 | 79 | 1996 |
| Gibbs point processes for studying the development of spatial-temporal stochastic processes E Renshaw, A Särkkä Computational statistics & data analysis 36 (1), 85-105, 2001 | 76 | 2001 |
| What mark variograms tell about spatial plant interactions A Pommerening, A Särkkä Ecological Modelling 251, 64-72, 2013 | 74 | 2013 |
| Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions P Grabarnik, A Särkkä Ecological Modelling 220 (9-10), 1232-1240, 2009 | 69 | 2009 |
| The analysis of marked point patterns evolving through space and time A Särkkä, E Renshaw Computational Statistics & Data Analysis 51 (3), 1698-1718, 2006 | 56 | 2006 |
| Plant colonization of a bare peat surface: population changes and spatial patterns V Salonen, A Penttinen, A Särkkä Journal of Vegetation Science 3 (1), 113-118, 1992 | 54 | 1992 |
| Second‐order spatial analysis of epidermal nerve fibers LA Waller, A Särkkä, V Olsbo, M Myllymäki, IG Panoutsopoulou, ... Statistics in Medicine 30 (23), 2827-2841, 2011 | 47 | 2011 |
| Optimization of FIB–SEM tomography and reconstruction for soft, porous, and poorly conducting materials C Fager, M Röding, A Olsson, N Lorén, C von Corswant, A Särkkä, ... Microscopy and Microanalysis 26 (4), 837-845, 2020 | 43 | 2020 |
| Statistical analysis of intramembranous particles using freeze fracture specimens K Schladitz, A Särkkä, I Pavenstädt, O Haferkamp, T Mattfeldt Journal of microscopy 211 (2), 137-153, 2003 | 39 | 2003 |
| Interacting neighbour point processes: some models for clustering P Grabarnik, A Särkkä Journal of Statistical Computation and Simulation 68 (2), 103-125, 2001 | 33 | 2001 |
| Anisotropy analysis of pressed point processes C Redenbach, A Särkkä, J Freitag, K Schladitz AStA Advances in Statistical Analysis 93, 237-261, 2009 | 32 | 2009 |
| Characterization of pore structure of polymer blended films used for controlled drug release H Häbel, H Andersson, A Olsson, E Olsson, A Larsson, A Särkkä Journal of controlled release 222, 151-158, 2016 | 30 | 2016 |
| Pseudo-likelihood approach for pair potential estimation of Gibbs processes A Särkkä University of Jyväskylä, 1993 | 30 | 1993 |
| A review on anisotropy analysis of spatial point patterns T Rajala, C Redenbach, A Särkkä, M Sormani Spatial Statistics 28, 141-168, 2018 | 29 | 2018 |
| Discovering early diabetic neuropathy from epidermal nerve fiber patterns C Andersson, P Guttorp, A Särkkä Statistics in medicine 35 (24), 4427-4442, 2016 | 26 | 2016 |
| 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 |
| Identifying directional persistence in intracellular particle motion using Hidden Markov Models M Röding, M Guo, DA Weitz, M Rudemo, A Särkkä Mathematical biosciences 248, 140-145, 2014 | 22 | 2014 |
| Analysis of spatial structure of epidermal nerve entry point patterns based on replicated data M Myllymäki, IG Panoutsopoulou, A Särkkä Journal of microscopy 247 (3), 228-239, 2012 | 22 | 2012 |
| Modelling interactions between trees by means of field observations A Särkkä, E Tomppo Forest Ecology and Management 108 (1-2), 57-62, 1998 | 21 | 1998 |
