| General unified threshold model of survival-a toxicokinetic-toxicodynamic framework for ecotoxicology T Jager, C Albert, TG Preuss, R Ashauer Environmental science & technology 45 (7), 2529-2540, 2011 | 468 | 2011 |
| Sudden cosmic ray decreases: No change of global cloud cover J Calogovic, C Albert, F Arnold, J Beer, L Desorgher, EO Flueckiger Geophysical Research Letters 37 (3), 2010 | 112 | 2010 |
| Improving uncertainty estimation in urban hydrological modeling by statistically describing bias D Del Giudice, M Honti, A Scheidegger, C Albert, P Reichert, ... Hydrology and Earth System Sciences 17 (10), 4209-4225, 2013 | 111 | 2013 |
| Toxicokinetic‐toxicodynamic modeling of quantal and graded sublethal endpoints: A brief discussion of concepts R Ashauer, A Agatz, C Albert, V Ducrot, N Galic, J Hendriks, T Jager, ... Environmental Toxicology and Chemistry 30 (11), 2519-2524, 2011 | 102 | 2011 |
| Modelling survival: exposure pattern, species sensitivity and uncertainty R Ashauer, C Albert, S Augustine, N Cedergreen, S Charles, V Ducrot, ... Scientific Reports 6 (1), 29178, 2016 | 74 | 2016 |
| A simulated annealing approach to approximate Bayes computations C Albert, HR Künsch, A Scheidegger Statistics and computing 25, 1217-1232, 2015 | 63 | 2015 |
| Signature‐domain calibration of hydrological models using approximate Bayesian computation: Theory and comparison to existing applications D Kavetski, F Fenicia, P Reichert, C Albert Water Resources Research 54 (6), 4059-4083, 2018 | 52 | 2018 |
| Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation D Del Giudice, C Albert, J Rieckermann, P Reichert Water Resources Research 52 (4), 3162-3186, 2016 | 49 | 2016 |
| Signature‐domain calibration of hydrological models using approximate Bayesian computation: Empirical analysis of fundamental properties F Fenicia, D Kavetski, P Reichert, C Albert Water Resources Research 54 (6), 3958-3987, 2018 | 48 | 2018 |
| Improving hydrologic models for predictions and process understanding using neural ODEs M Höge, A Scheidegger, M Baity-Jesi, C Albert, F Fenicia Hydrology and Earth System Sciences 26 (19), 5085-5102, 2022 | 44 | 2022 |
| Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models JP Carbajal, JP Leitão, C Albert, J Rieckermann Environmental modelling & software 92, 17-27, 2017 | 44 | 2017 |
| Model bias and complexity–Understanding the effects of structural deficits and input errors on runoff predictions D Del Giudice, P Reichert, V Bareš, C Albert, J Rieckermann Environmental modelling & software 64, 205-214, 2015 | 43 | 2015 |
| Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator D Machac, P Reichert, J Rieckermann, C Albert Environmental Modelling & Software 78, 54-67, 2016 | 28 | 2016 |
| Bayesian experimental design for a toxicokinetic–toxicodynamic model C Albert, R Ashauer, HR Künsch, P Reichert Journal of statistical planning and inference 142 (1), 263-275, 2012 | 24 | 2012 |
| Emulation of dynamic simulators with application to hydrology D Machac, P Reichert, C Albert Journal of Computational Physics 313, 352-366, 2016 | 22 | 2016 |
| Batalin–Vilkovisky integrals in finite dimensions C Albert, B Bleile, J Fröhlich Journal of mathematical physics 51 (1), 2010 | 19 | 2010 |
| Computationally efficient implementation of a novel algorithm for the General Unified Threshold Model of Survival (GUTS) C Albert, S Vogel, R Ashauer PLOS Computational Biology 12 (6), e1004978, 2016 | 16 | 2016 |
| A mechanistic dynamic emulator C Albert Nonlinear Analysis: Real World Applications 13 (6), 2747-2754, 2012 | 15 | 2012 |
| Data assimilation and online parameter optimization in groundwater modeling using nested particle filters M Ramgraber, C Albert, M Schirmer Water Resources Research 55 (11), 9724-9747, 2019 | 14 | 2019 |
| The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction SL Rinderknecht, C Albert, ME Borsuk, N Schuwirth, HR Künsch, ... Environmental modelling & software 62, 300-315, 2014 | 14 | 2014 |
