| Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M Hrachowitz, O Fovet, L Ruiz, T Euser, S Gharari, R Nijzink, J Freer, ... Water resources research 50 (9), 7445-7469, 2014 | 226 | 2014 |
| Constraining conceptual hydrological models with multiple information sources RC Nijzink, S Almeida, IG Pechlivanidis, R Capell, D Gustafssons, ... Water Resources Research 54 (10), 8332-8362, 2018 | 117 | 2018 |
| The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? R Nijzink, C Hutton, I Pechlivanidis, R Capell, B Arheimer, J Freer, D Han, ... Hydrology and Earth System Sciences 20 (12), 4775-4799, 2016 | 94 | 2016 |
| Virtual laboratories: new opportunities for collaborative water science S Ceola, B Arheimer, E Baratti, G Blöschl, R Capell, A Castellarin, J Freer, ... Hydrology and Earth System Sciences 19 (4), 2101-2117, 2015 | 83 | 2015 |
| The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models RC Nijzink, L Samaniego, J Mai, R Kumar, S Thober, M Zink, D Schäfer, ... Hydrology and Earth System Sciences 20 (3), 1151-1176, 2016 | 59 | 2016 |
| Revised predictive equations for salt intrusion modelling in estuaries JIA Gisen, HHG Savenije, RC Nijzink Hydrology and Earth System Sciences 19 (6), 2791-2803, 2015 | 38 | 2015 |
| Testing a 1-D analytical salt intrusion model and its predictive equations in Malaysian estuaries JIA Gisen, HHG Savenije, RC Nijzink, AK Abd. Wahab Hydrological Sciences Journal 60 (1), 156-172, 2015 | 27 | 2015 |
| Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 TC van Hateren, HJ Jongen, H Al-Zawaidah, JGW Beemster, J Boekee, ... Hydrological Sciences Journal 68 (4), 529-541, 2023 | 14 | 2023 |
| Vegetation optimality explains the convergence of catchments on the Budyko curve RC Nijzink, SJ Schymanski Hydrology and Earth System Sciences Discussions 2022, 1-29, 2022 | 10 | 2022 |
| Repeatable and reproducible workflows using the RENKU open science platform L Krieger, R Nijzink, G Thakur, C Ramakrishnan, R Roskar, S Schymanski EGU General Assembly Conference Abstracts, EGU21-7655, 2021 | 7 | 2021 |
| Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? RC Nijzink, J Beringer, LB Hutley, SJ Schymanski Hydrology and Earth System Sciences 26 (2), 525-550, 2022 | 4 | 2022 |
| Do different projections matter for the Budyko framework? RC Nijzink, SJ Schymanski Hydrology and Earth System Sciences 26 (17), 4575-4585, 2022 | 2 | 2022 |
| The role of vegetation optimality in the Budyko-framework RC Nijzink, S Schymanski EGU General Assembly Conference Abstracts, EGU21-1300, 2021 | 2 | 2021 |
| A repeatable and reproducible modelling workflow using the Vegetation Optimality Model and RENKU R Nijzink, C Ramakrishnan, R Roskar, S Schymanski EGU General Assembly Conference Abstracts, 9228, 2020 | 2 | 2020 |
| Influence of modifications (from AoB2015 to v0. 5) in the Vegetation Optimality Model RC Nijzink, J Beringer, LB Hutley, SJ Schymanski Geoscientific Model Development 15 (2), 883-900, 2022 | 1 | 2022 |
| Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? RC Nijzink, J Beringer, LB Hutley, SJ Schymanski Hydrology and Earth System Sciences Discussions 2021, 1-35, 2021 | 1 | 2021 |
| The impact of prior parameter ranges on model behaviour using Global Sensitivity Analysis S Almeida, RC Nijzink, I Pechlivanidis, R Capell, D Gustafsson, ... EGU General Assembly Conference Abstracts, 18088, 2017 | 1 | 2017 |
| The importance of topography controlled sub-grid process heterogeneity in distributed hydrological models RC Nijzink, L Samaniego, J Mai, R Kumar, S Thober, M Zink, D Schäfer, ... Hydrology and Earth System Sciences Discussions 12 (12), 13301-13358, 2015 | 1 | 2015 |
| Improving the predictive equation for dispersion in estuaries RC Nijzink | 1 | 2013 |
| Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration D MINGO NDIWAGO, R Nijzink, C Ley, J HALE | | 2024 |
