Albrecht Weerts

6.4k total citations
147 papers, 4.1k citations indexed

About

Albrecht Weerts is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Albrecht Weerts has authored 147 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Water Science and Technology, 103 papers in Global and Planetary Change and 54 papers in Atmospheric Science. Recurrent topics in Albrecht Weerts's work include Hydrology and Watershed Management Studies (108 papers), Flood Risk Assessment and Management (72 papers) and Hydrology and Drought Analysis (41 papers). Albrecht Weerts is often cited by papers focused on Hydrology and Watershed Management Studies (108 papers), Flood Risk Assessment and Management (72 papers) and Hydrology and Drought Analysis (41 papers). Albrecht Weerts collaborates with scholars based in Netherlands, United Kingdom and United States. Albrecht Weerts's co-authors include G.Y.H. El Serafy, Jan Verkade, Paolo Reggiani, R. Uijlenhoet, Hessel Winsemius, Oldřich Rakovec, Willem Bouten, James Dean Brown, Rens van Beek and Marc F. P. Bierkens and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Albrecht Weerts

140 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albrecht Weerts Netherlands 35 2.8k 2.7k 1.5k 1.4k 327 147 4.1k
Dan Rosbjerg Denmark 34 2.6k 1.0× 1.9k 0.7× 963 0.7× 786 0.6× 826 2.5× 136 4.0k
Chaopeng Shen United States 34 2.0k 0.7× 2.9k 1.1× 2.7k 1.8× 702 0.5× 354 1.1× 105 4.6k
Grey Nearing United States 32 2.4k 0.9× 2.5k 0.9× 2.3k 1.6× 888 0.6× 201 0.6× 72 3.9k
Valentijn Pauwels Australia 42 2.5k 0.9× 2.8k 1.0× 2.7k 1.8× 2.1k 1.5× 246 0.8× 144 5.2k
Wei Gong China 38 2.4k 0.9× 996 0.4× 1.0k 0.7× 2.1k 1.5× 272 0.8× 106 4.4k
Konstantine P. Georgakakos United States 41 3.7k 1.3× 3.1k 1.1× 1.4k 0.9× 2.2k 1.6× 569 1.7× 150 5.5k
Shie‐Yui Liong Singapore 31 1.5k 0.5× 1.4k 0.5× 1.7k 1.1× 591 0.4× 275 0.8× 77 3.3k
Harald Kling Austria 15 3.8k 1.4× 4.2k 1.6× 1.9k 1.3× 1.6k 1.2× 438 1.3× 23 5.8k
Faisal Hossain United States 39 3.2k 1.2× 2.1k 0.8× 1.1k 0.8× 1.9k 1.4× 440 1.3× 183 4.8k
Mark Thyer Australia 30 2.8k 1.0× 2.7k 1.0× 1.5k 1.0× 745 0.5× 458 1.4× 102 3.9k

Countries citing papers authored by Albrecht Weerts

Since Specialization
Citations

This map shows the geographic impact of Albrecht Weerts'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 Albrecht Weerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albrecht Weerts more than expected).

Fields of papers citing papers by Albrecht Weerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albrecht Weerts. 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 Albrecht Weerts. The network helps show where Albrecht Weerts may publish in the future.

Co-authorship network of co-authors of Albrecht Weerts

This figure shows the co-authorship network connecting the top 25 collaborators of Albrecht Weerts. A scholar is included among the top collaborators of Albrecht Weerts 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 Albrecht Weerts. Albrecht Weerts 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.
Teuling, Adriaan J., et al.. (2025). Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin. Hydrology and earth system sciences. 29(6). 1483–1503. 1 indexed citations
2.
Weerts, Albrecht, et al.. (2025). Compound effects of river routing and local rainfall-runoff for inflow simulation of a large reservoir. Hydrological Sciences Journal. 70(9). 1541–1553.
3.
Bense, Victor, et al.. (2024). The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability. Hydrology and earth system sciences. 28(22). 5107–5131. 6 indexed citations
4.
Brauer, Claudia, et al.. (2024). Machine learning for real-time reservoir operation simulation: comparing input variables and algorithms for the Sirikit Reservoir, Thailand. Journal of Hydroinformatics. 26(12). 3151–3171. 2 indexed citations
5.
Verseveld, Willem van, Albrecht Weerts, Joost Buitink, et al.. (2024). Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications. Geoscientific model development. 17(8). 3199–3234. 15 indexed citations
6.
Imhoff, Ruben, Joost Buitink, Willem van Verseveld, & Albrecht Weerts. (2024). A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm. Environmental Modelling & Software. 179. 106099–106099. 3 indexed citations
7.
Weerts, Albrecht, Cheng Yao, Zhijia Li, et al.. (2023). State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation. Journal of Hydrology. 620. 129450–129450. 14 indexed citations
8.
Imhoff, Ruben, et al.. (2022). Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning. Water Resources Research. 58(3). 27 indexed citations
9.
Hut, Rolf, Nick van de Giesen, Niels Drost, et al.. (2022). Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model. Hydrology and earth system sciences. 26(16). 4407–4430. 21 indexed citations
10.
Eilander, Dirk, Willem van Verseveld, Dai Yamazaki, et al.. (2021). A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models. Hydrology and earth system sciences. 25(9). 5287–5313. 38 indexed citations
11.
Kim, Sunghee, Seong Jin Noh, Dong‐Jun Seo, et al.. (2021). High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation. Journal of Hydrology. 598. 126236–126236. 30 indexed citations
12.
Bouaziz, Laurène, Susan Steele‐Dunne, Jaap Schellekens, et al.. (2020). Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index. Water Resources Research. 56(3). 32 indexed citations
13.
Benedict, Imme, Chiel C. van Heerwaarden, Eveline C. van der Linden, Albrecht Weerts, & Wilco Hazeleger. (2020). Anomalous moisture sources of the Rhine basin during the extremely dry summers of 2003 and 2018. Weather and Climate Extremes. 31. 100302–100302. 12 indexed citations
14.
Lavers, David A., Maria‐Helena Ramos, Linus Magnusson, et al.. (2020). A Vision for Hydrological Prediction. Atmosphere. 11(3). 237–237. 23 indexed citations
15.
16.
Cumiskey, Lydia, et al.. (2018). Towards impact-based flood forecasting and warning in Bangladesh: a case study at the local level in Sirajganj district. Biogeosciences (European Geosciences Union). 30 indexed citations
17.
Beek, Rens van, et al.. (2017). Skill of a global forecasting system in seasonal ensemble streamflow prediction. Hydrology and earth system sciences. 21(8). 4103–4114. 23 indexed citations
18.
Verlaan, Martin, et al.. (2010). OpenDA Open Source Generic Data Assimilation Environment and its Application in Process Models. EGUGA. 9346. 7 indexed citations
19.
Weerts, Albrecht, et al.. (2004). FEWS-Rhine version 1.02: Improvements and adjustments. Research Repository (Delft University of Technology). 2 indexed citations
20.
Vrouwenvelder, A.C.W.M., Eusebi Calle, J.K. Vrijling, et al.. (2003). Effects of river system behaviour on flood risk. Distributed Computing. 8 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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