| Perspective: Stochastic algorithms for chemical kinetics DT Gillespie, A Hellander, LR Petzold The Journal of chemical physics 138 (17), 2013 | 389 | 2013 |
| Simulation of stochastic reaction-diffusion processes on unstructured meshes S Engblom, L Ferm, A Hellander, P Lötstedt SIAM Journal on Scientific Computing 31 (3), 1774-1797, 2009 | 191 | 2009 |
| URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries B Drawert, S Engblom, A Hellander BMC systems biology 6 (1), 76, 2012 | 187 | 2012 |
| Hybrid method for the chemical master equation A Hellander, P Lötstedt Journal of Computational Physics 227 (1), 100-122, 2007 | 110 | 2007 |
| Analysis of neural crest–derived clones reveals novel aspects of facial development M Kaucka, E Ivashkin, D Gyllborg, T Zikmund, M Tesarova, J Kaiser, M Xie, ... Science advances 2 (8), e1600060, 2016 | 97 | 2016 |
| Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation M Sturrock, A Hellander, A Matzavinos, MAJ Chaplain Journal of The Royal Society Interface 10 (80), 20120988, 2013 | 88* | 2013 |
| Reaction-diffusion master equation in the microscopic limit S Hellander, A Hellander, L Petzold Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (4 …, 2012 | 85 | 2012 |
| Stochastic simulation service: bridging the gap between the computational expert and the biologist B Drawert, A Hellander, B Bales, D Banerjee, G Bellesia, BJ Daigle Jr, ... PLoS computational biology 12 (12), e1005220, 2016 | 81 | 2016 |
| An adaptive algorithm for simulation of stochastic reaction–diffusion processes L Ferm, A Hellander, P Lötstedt Journal of Computational Physics 229 (2), 343-360, 2010 | 78 | 2010 |
| A hierarchy of approximations of the master equation scaled by a size parameter L Ferm, P Lötstedt, A Hellander Journal of Scientific Computing 34 (2), 127-151, 2008 | 75 | 2008 |
| The machine learning life cycle and the cloud: implications for drug discovery O Spjuth, J Frid, A Hellander Expert opinion on drug discovery 16 (9), 1071-1079, 2021 | 67 | 2021 |
| GillesPy: a python package for stochastic model building and simulation JH Abel, B Drawert, A Hellander, LR Petzold IEEE life sciences letters 2 (3), 35-38, 2016 | 64 | 2016 |
| Oriented clonal cell dynamics enables accurate growth and shaping of vertebrate cartilage M Kaucka, T Zikmund, M Tesarova, D Gyllborg, A Hellander, J Jaros, ... Elife 6, e25902, 2017 | 62 | 2017 |
| Coupled mesoscopic and microscopic simulation of stochastic reaction-diffusion processes in mixed dimensions A Hellander, S Hellander, P Lötstedt Multiscale Modeling & Simulation 10 (2), 585-611, 2012 | 60 | 2012 |
| Reaction rates for mesoscopic reaction-diffusion kinetics S Hellander, A Hellander, L Petzold Physical Review E 91 (2), 023312, 2015 | 50 | 2015 |
| Scalable federated machine learning with fedn M Ekmefjord, A Ait-Mlouk, S Alawadi, M Åkesson, P Singh, O Spjuth, ... 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 49 | 2022 |
| Sparse grids and hybrid methods for the chemical master equation M Hegland, A Hellander, P Lötstedt BIT Numerical Mathematics 48, 265-283, 2008 | 45 | 2008 |
| Convolutional neural networks as summary statistics for approximate Bayesian computation M Åkesson, P Singh, F Wrede, A Hellander IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 43 | 2021 |
| Molns: A cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme B Drawert, M Trogdon, S Toor, L Petzold, A Hellander SIAM Journal on Scientific Computing 38 (3), C179-C202, 2016 | 36 | 2016 |
| The role of dimerisation and nuclear transport in the Hes1 gene regulatory network M Sturrock, A Hellander, S Aldakheel, L Petzold, MAJ Chaplain Bulletin of mathematical biology 76, 766-798, 2014 | 34 | 2014 |
Linda PetzoldProfessor, University of California Santa BarbaraVerified email at cs.ucsb.edu
