Raphael Schneider

1.0k total citations
23 papers, 400 citations indexed

About

Raphael Schneider is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Raphael Schneider has authored 23 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 13 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in Raphael Schneider's work include Hydrology and Watershed Management Studies (17 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (8 papers). Raphael Schneider is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (8 papers). Raphael Schneider collaborates with scholars based in Denmark, United States and United Kingdom. Raphael Schneider's co-authors include Peter Bauer‐Gottwein, Julian Koch, Henrik Madsen, Simon Stisen, Liguang Jiang, Hans Jørgen Henriksen, Ole Andersen, Lars Troldborg, Karina Nielsen and Angelica Tarpanelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Raphael Schneider

22 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Schneider Denmark 13 249 246 155 75 60 23 400
Kazi Ali Tamaddun United States 9 184 0.7× 257 1.0× 114 0.7× 78 1.0× 29 0.5× 16 348
Qi Tang Germany 11 143 0.6× 153 0.6× 123 0.8× 155 2.1× 37 0.6× 26 348
Michał Szydłowski Poland 11 125 0.5× 218 0.9× 112 0.7× 80 1.1× 34 0.6× 54 377
Gabriele Coccia Italy 9 320 1.3× 395 1.6× 208 1.3× 179 2.4× 40 0.7× 16 599
Renata Graf Poland 14 298 1.2× 154 0.6× 297 1.9× 109 1.5× 29 0.5× 44 530
Fuad Yassin Canada 10 361 1.4× 272 1.1× 180 1.2× 132 1.8× 17 0.3× 14 507
Hamid Mohebzadeh Canada 10 192 0.8× 179 0.7× 204 1.3× 24 0.3× 33 0.6× 22 330
El Mahdi El Khalki Morocco 15 240 1.0× 355 1.4× 79 0.5× 176 2.3× 30 0.5× 34 492
Chaoyang Du China 10 191 0.8× 191 0.8× 132 0.9× 59 0.8× 31 0.5× 21 360
Muhammad Zia ur Rahman Hashmi Pakistan 12 180 0.7× 315 1.3× 120 0.8× 190 2.5× 19 0.3× 14 468

Countries citing papers authored by Raphael Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Schneider

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Schneider. A scholar is included among the top collaborators of Raphael Schneider 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 Raphael Schneider. Raphael Schneider 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
2.
Liu, Jun, Julian Koch, Simon Stisen, et al.. (2025). CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations. Earth system science data. 17(4). 1551–1572. 4 indexed citations
3.
Schneider, Raphael, et al.. (2025). Synthesizing regional irrigation data using machine learning – Towards global upscaling via metamodeling. Agricultural Water Management. 311. 109404–109404. 3 indexed citations
4.
Liu, Jun, Julian Koch, Simon Stisen, Lars Troldborg, & Raphael Schneider. (2024). A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks. Hydrology and earth system sciences. 28(13). 2871–2893. 13 indexed citations
5.
Jiang, Liguang, et al.. (2024). Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins. Water Resources Research. 60(7). 13 indexed citations
6.
Schneider, Raphael, et al.. (2023). Using jointly calibrated fine-scale drain models across Denmark to assess the influence of physical variables on spatial drain flow patterns. Journal of Hydrology Regional Studies. 46. 101353–101353. 4 indexed citations
7.
Fienen, Michael N., et al.. (2022). Assessing spatial transferability of a random forest metamodel for predicting drainage fraction. Journal of Hydrology. 612. 128177–128177. 19 indexed citations
8.
Schneider, Raphael, Julian Koch, Lars Troldborg, Hans Jørgen Henriksen, & Simon Stisen. (2022). Machine-learning-based downscaling of modelled climate change impacts on groundwater table depth. Hydrology and earth system sciences. 26(22). 5859–5877. 15 indexed citations
9.
Rasmussen, Per, et al.. (2022). Evaluation of adaptation measures to counteract rising groundwater levels in urban areas in response to climate change. Hydrogeology Journal. 31(1). 35–52. 7 indexed citations
10.
Pastén-Zapata, Ernesto, Rafael Pimentel, Torben O. Sonnenborg, et al.. (2022). The effect of weighting hydrological projections based on the robustness of hydrological models under a changing climate. Journal of Hydrology Regional Studies. 41. 101113–101113. 12 indexed citations
11.
Henriksen, Hans Jørgen, et al.. (2022). A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin). Water. 15(1). 25–25. 37 indexed citations
12.
Schneider, Raphael, Simon Stisen, & Anker Lajer Højberg. (2022). Hunting for Information in Streamflow Signatures to Improve Modelled Drainage. Water. 14(1). 110–110. 3 indexed citations
14.
Schneider, Raphael, Hans Jørgen Henriksen, & Simon Stisen. (2020). A robust objective function for calibration of groundwater models in light of deficiencies of model structure and observations. 8 indexed citations
15.
Schneider, Raphael, et al.. (2017). Application of CryoSat-2 altimetry data for river analysis and modelling. Hydrology and earth system sciences. 21(2). 751–764. 53 indexed citations
16.
Schneider, Raphael, Angelica Tarpanelli, Karina Nielsen, Henrik Madsen, & Peter Bauer‐Gottwein. (2017). Evaluation of multi-mode CryoSat-2 altimetry data over the Po River against in situ data and a hydrodynamic model. Advances in Water Resources. 112. 17–26. 40 indexed citations
17.
Schneider, Raphael, et al.. (2017). A data assimilation system combining CryoSat-2 data and hydrodynamic river models. Journal of Hydrology. 557. 197–210. 26 indexed citations
18.
Schneider, Raphael, et al.. (2016). Assimilation of CryoSat-2 altimetry to a hydrodynamic model of the Brahmaputra river. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 18. 1 indexed citations
19.
Schneider, Raphael, et al.. (2015). Combining Envisat type and CryoSat-2 altimetry to inform hydrodynamic models. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 17. 9372. 2 indexed citations
20.
Bauer‐Gottwein, Peter, et al.. (2015). Optimizing Wellfield Operation in a Variable Power Price Regime. Ground Water. 54(1). 92–103. 13 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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