Marvin Höge

863 total citations
16 papers, 290 citations indexed

About

Marvin Höge is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Marvin Höge has authored 16 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 10 papers in Environmental Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Marvin Höge's work include Hydrology and Watershed Management Studies (10 papers), Hydrological Forecasting Using AI (7 papers) and Groundwater flow and contamination studies (5 papers). Marvin Höge is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Hydrological Forecasting Using AI (7 papers) and Groundwater flow and contamination studies (5 papers). Marvin Höge collaborates with scholars based in Switzerland, Germany and New Zealand. Marvin Höge's co-authors include Wolfgang Nowak, Thomas Wöhling, Anneli Guthke, Fabrizio Fenicia, Marco Baity‐Jesi, Carlo Albert, Andreas Scheidegger, Pascal Horton, Manuela I. Brunner and Daniel Viviroli and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrology and earth system sciences.

In The Last Decade

Marvin Höge

16 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marvin Höge Switzerland 8 180 157 122 37 32 16 290
Reetik Kumar Sahu Austria 9 196 1.1× 196 1.2× 127 1.0× 43 1.2× 28 0.9× 16 324
T. J. Smith United States 11 358 2.0× 211 1.3× 281 2.3× 60 1.6× 40 1.3× 22 467
Vinh Ngoc Tran United States 12 162 0.9× 142 0.9× 173 1.4× 27 0.7× 66 2.1× 27 293
Ioannis Trichakis Italy 10 229 1.3× 280 1.8× 107 0.9× 54 1.5× 18 0.6× 26 395
Fanzhe Kong China 9 248 1.4× 118 0.8× 162 1.3× 81 2.2× 59 1.8× 14 375
Milan Stojković Serbia 11 136 0.8× 98 0.6× 129 1.1× 57 1.5× 26 0.8× 35 288
Michael Thiemann Canada 3 315 1.8× 183 1.2× 256 2.1× 45 1.2× 53 1.7× 5 381
Farshid Rahmani United States 11 252 1.4× 278 1.8× 157 1.3× 20 0.5× 63 2.0× 18 393
Hadi Farhadi Iran 8 151 0.8× 149 0.9× 208 1.7× 32 0.9× 56 1.8× 14 333
Ayman G. Awadallah Egypt 12 193 1.1× 101 0.6× 209 1.7× 28 0.8× 87 2.7× 32 344

Countries citing papers authored by Marvin Höge

Since Specialization
Citations

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

Fields of papers citing papers by Marvin Höge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Höge

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Höge. A scholar is included among the top collaborators of Marvin Höge 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 Marvin Höge. Marvin Höge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Nascimento, Thiago Victor Medeiros do, Marvin Höge, Sandra Pool, et al.. (2025). Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data. Scientific Data. 12(1). 1283–1283. 2 indexed citations
2.
Chen, Christine, Sreenath P. Kyathanahally, Marta Reyes, et al.. (2024). Producing plankton classifiers that are robust to dataset shift. Limnology and Oceanography Methods. 23(1). 39–66. 1 indexed citations
3.
Reichert, Peter, et al.. (2024). Metamorphic testing of machine learning and conceptual hydrologic models. Hydrology and earth system sciences. 28(11). 2505–2529. 7 indexed citations
4.
Nascimento, Thiago Victor Medeiros do, Marvin Höge, Ruud van der Ent, et al.. (2024). EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe. Scientific Data. 11(1). 879–879. 8 indexed citations
5.
Höge, Marvin, et al.. (2024). Learning landscape features from streamflow with autoencoders. Hydrology and earth system sciences. 28(22). 4971–4988. 1 indexed citations
6.
Höge, Marvin, Martina Kauzlaric, Rosi Siber, et al.. (2023). CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland. Earth system science data. 15(12). 5755–5784. 39 indexed citations
7.
Höge, Marvin, Andreas Scheidegger, Marco Baity‐Jesi, Carlo Albert, & Fabrizio Fenicia. (2022). Improving hydrologic models for predictions and process understanding using neural ODEs. Hydrology and earth system sciences. 26(19). 5085–5102. 55 indexed citations
8.
Weber, Tobias K. D., Sebastian Gayler, Anneli Guthke, et al.. (2022). Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling. Modeling Earth Systems and Environment. 8(4). 5143–5175. 3 indexed citations
9.
Wöhling, Thomas, et al.. (2021). Lumped geohydrological modelling for long-term predictions of groundwater storage and depletion. Journal of Hydrology. 606. 127347–127347. 9 indexed citations
10.
11.
Höge, Marvin, et al.. (2020). Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods—At the Example of Bayesian Inverse Problems. Frontiers in Artificial Intelligence. 3. 52–52. 2 indexed citations
12.
Guthke, Anneli, et al.. (2020). Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison. Water Resources Research. 56(11). 7 indexed citations
13.
Höge, Marvin, Anneli Guthke, & Wolfgang Nowak. (2020). Bayesian Model Weighting: The Many Faces of Model Averaging. Water. 12(2). 309–309. 9 indexed citations
14.
Höge, Marvin, Anneli Guthke, & Wolfgang Nowak. (2019). The hydrologist’s guide to Bayesian model selection, averaging and combination. Journal of Hydrology. 572. 96–107. 58 indexed citations
15.
Höge, Marvin, Thomas Wöhling, & Wolfgang Nowak. (2018). A Primer for Model Selection: The Decisive Role of Model Complexity. Water Resources Research. 54(3). 1688–1715. 87 indexed citations
16.
Guthke, Anneli, Marvin Höge, & Wolfgang Nowak. (2017). Bayesian model evidence as a model evaluation metric. EGUGA. 13390. 1 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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