Wouter Knoben

4.4k total citations · 1 hit paper
38 papers, 1.9k citations indexed

About

Wouter Knoben is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Wouter Knoben has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Water Science and Technology, 27 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in Wouter Knoben's work include Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (21 papers) and Hydrological Forecasting Using AI (9 papers). Wouter Knoben is often cited by papers focused on Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (21 papers) and Hydrological Forecasting Using AI (9 papers). Wouter Knoben collaborates with scholars based in Canada, United States and United Kingdom. Wouter Knoben's co-authors include Ross Woods, Jim Freer, Keirnan Fowler, Murray Peel, Martyn Clark, Shervan Gharari, Naoki Mizukami, Guoqiang Tang, Simon Michael Papalexiou and Lina Stein and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

Wouter Knoben

36 papers receiving 1.8k citations

Hit Papers

Technical note: Inherent benchmark or not? Comparing Nash... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wouter Knoben Canada 16 1.4k 1.2k 660 434 121 38 1.9k
Ilias Pechlivanidis Sweden 22 1.4k 1.0× 1.3k 1.1× 481 0.7× 370 0.9× 100 0.8× 72 1.8k
Steven L. Markstrom United States 18 1.5k 1.1× 1.0k 0.8× 656 1.0× 477 1.1× 164 1.4× 50 1.9k
Naoki Mizukami United States 26 2.0k 1.4× 1.8k 1.5× 818 1.2× 819 1.9× 104 0.9× 55 2.5k
Ida Westerberg Sweden 21 1.7k 1.2× 1.4k 1.2× 669 1.0× 292 0.7× 313 2.6× 38 2.0k
Jean‐Michel Perraud Australia 14 1.2k 0.9× 1.1k 0.9× 382 0.6× 262 0.6× 75 0.6× 27 1.5k
Renata J. Romanowicz Poland 23 1.3k 0.9× 1.3k 1.1× 436 0.7× 287 0.7× 185 1.5× 77 1.8k
Julien Lerat Australia 22 1.6k 1.1× 1.4k 1.2× 555 0.8× 251 0.6× 179 1.5× 50 1.8k
Seann Reed United States 21 1.8k 1.3× 1.6k 1.3× 676 1.0× 846 1.9× 132 1.1× 52 2.2k
О. Н. Насонова Russia 16 1.1k 0.8× 837 0.7× 336 0.5× 533 1.2× 92 0.8× 82 1.3k
Guillaume Thirel France 23 1.3k 1.0× 1.1k 0.9× 488 0.7× 500 1.2× 72 0.6× 72 1.6k

Countries citing papers authored by Wouter Knoben

Since Specialization
Citations

This map shows the geographic impact of Wouter Knoben's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wouter Knoben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Knoben more than expected).

Fields of papers citing papers by Wouter Knoben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter Knoben. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wouter Knoben. The network helps show where Wouter Knoben may publish in the future.

Co-authorship network of co-authors of Wouter Knoben

This figure shows the co-authorship network connecting the top 25 collaborators of Wouter Knoben. A scholar is included among the top collaborators of Wouter Knoben based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wouter Knoben. Wouter Knoben is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Knoben, Wouter, Mukesh Kumar, Alain Pietroniro, et al.. (2025). Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?. Hydrology and earth system sciences. 29(11). 2361–2375. 1 indexed citations
2.
Arnal, Louise, Martyn Clark, Alain Pietroniro, et al.. (2024). FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America. Hydrology and earth system sciences. 28(17). 4127–4155. 1 indexed citations
3.
Tang, Guoqiang, Martyn Clark, Wouter Knoben, et al.. (2024). Uncertainty Hotspots in Global Hydrologic Modeling: The Impact of Precipitation and Temperature Forcings. Bulletin of the American Meteorological Society. 106(1). E146–E166. 3 indexed citations
4.
Mendoza, Pablo A., et al.. (2024). The Key Role of Temporal Stratification for GCM Bias Correction in Climate Impact Assessments. Earth s Future. 12(8). 2 indexed citations
5.
Song, Yalan, Wouter Knoben, Martyn Clark, et al.. (2024). When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling. Hydrology and earth system sciences. 28(13). 3051–3077. 12 indexed citations
6.
Knoben, Wouter, et al.. (2024). Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain. Communications Earth & Environment. 5(1). 733–733. 7 indexed citations
7.
Spiteri, Raymond J., et al.. (2024). Accurate and Efficient Numerical Simulation of Land Models Using SUMMA With SUNDIALS. Journal of Advances in Modeling Earth Systems. 16(12). e2024MS004256–e2024MS004256.
9.
Kumar, D. Nagesh, et al.. (2023). Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations. Advances in Water Resources. 181. 104560–104560. 4 indexed citations
10.
McMillan, Hilary, Gemma Coxon, Christa Kelleher, et al.. (2023). When good signatures go bad: Applying hydrologic signatures in large sample studies. Hydrological Processes. 37(9). 14 indexed citations
11.
Tang, Guoqiang, Martyn Clark, Wouter Knoben, et al.. (2023). The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins. Water Resources Research. 59(6). 27 indexed citations
13.
Clark, Martyn, Richard M. Vogel, Jonathan Lamontagne, et al.. (2021). The Abuse of Popular Performance Metrics in Hydrologic Modeling. Water Resources Research. 57(9). 149 indexed citations
14.
Brunner, Manuela I., Lieke Melsen, Andrew W. Wood, et al.. (2021). Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models. Hydrology and earth system sciences. 25(1). 105–119. 27 indexed citations
15.
Stein, Lina, Martyn Clark, Wouter Knoben, Francesca Pianosi, & Ross Woods. (2020). Process oriented insights from interpretable machine learning - what influences flood generating processes?. 2 indexed citations
16.
Brunner, Manuela I., Lieke Melsen, Andrew W. Wood, et al.. (2020). Flood hazard and change impact assessments may profit from rethinking model calibration strategies. 6 indexed citations
17.
Fowler, Keirnan, Wouter Knoben, Murray Peel, et al.. (2020). Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections. Water Resources Research. 56(5). 77 indexed citations
19.
Popp, Andrea, Stefanie Lutz, Sina Khatami, Tim van Emmerik, & Wouter Knoben. (2019). A Global Survey on the Perceptions and Impacts of Gender Inequality in the Earth and Space Sciences. Earth and Space Science. 6(8). 1460–1468. 29 indexed citations
20.
Coxon, Gemma, Jim Freer, Rosanna Lane, et al.. (2019). DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geoscientific model development. 12(6). 2285–2306. 62 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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