Guy Schumann

10.6k total citations
135 papers, 6.8k citations indexed

About

Guy Schumann is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Guy Schumann has authored 135 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Global and Planetary Change, 75 papers in Water Science and Technology and 57 papers in Atmospheric Science. Recurrent topics in Guy Schumann's work include Flood Risk Assessment and Management (112 papers), Hydrology and Watershed Management Studies (75 papers) and Tropical and Extratropical Cyclones Research (32 papers). Guy Schumann is often cited by papers focused on Flood Risk Assessment and Management (112 papers), Hydrology and Watershed Management Studies (75 papers) and Tropical and Extratropical Cyclones Research (32 papers). Guy Schumann collaborates with scholars based in United Kingdom, United States and Luxembourg. Guy Schumann's co-authors include Paul Bates, Jeffrey Neal, Patrick Matgen, Giuliano Di Baldassarre, Renaud Hostache, Laurent Pfister, Florian Pappenberger, L. Hoffmann, David C. Mason and Konstantinos M. Andreadis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Guy Schumann

132 papers receiving 6.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guy Schumann 5.7k 3.6k 2.4k 1.2k 1.2k 135 6.8k
Patrick Matgen 4.7k 0.8× 3.6k 1.0× 2.6k 1.1× 2.2k 1.8× 751 0.6× 142 6.7k
Jeffrey Neal 7.4k 1.3× 4.7k 1.3× 3.6k 1.5× 1.5k 1.2× 1.5k 1.2× 151 9.3k
Shaomin Liu 5.9k 1.0× 2.3k 0.6× 3.0k 1.2× 3.1k 2.5× 1.2k 1.0× 211 8.2k
Tamlin M. Pavelsky 4.2k 0.7× 3.7k 1.0× 2.1k 0.9× 1.1k 0.9× 2.3k 1.9× 161 7.2k
G. Robert Brakenridge 4.4k 0.8× 2.4k 0.7× 2.7k 1.1× 999 0.8× 2.0k 1.7× 91 8.5k
Zheng Duan 3.5k 0.6× 2.1k 0.6× 2.7k 1.1× 1.5k 1.3× 719 0.6× 207 6.0k
Hongjie Xie 3.0k 0.5× 1.6k 0.4× 4.6k 1.9× 1.3k 1.1× 1.2k 1.0× 172 7.5k
Catherine Prigent 4.2k 0.7× 1.3k 0.4× 4.3k 1.8× 2.5k 2.0× 889 0.7× 196 7.3k
Jun Qin 5.0k 0.9× 1.5k 0.4× 5.4k 2.2× 2.6k 2.1× 872 0.7× 121 9.2k
Hessel Winsemius 5.9k 1.0× 3.0k 0.8× 2.7k 1.1× 965 0.8× 796 0.7× 109 7.7k

Countries citing papers authored by Guy Schumann

Since Specialization
Citations

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

Fields of papers citing papers by Guy Schumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Schumann

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Schumann. A scholar is included among the top collaborators of Guy Schumann 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 Guy Schumann. Guy Schumann 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.
Kar, Bandana, et al.. (2024). Assessing a Model-of-Models Approach for Global Flood Forecasting and Alerting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9641–9650. 1 indexed citations
2.
Schumann, Guy, et al.. (2024). Technical Note: Resolution enhancement of flood inundation grids. Hydrology and earth system sciences. 28(3). 575–588. 5 indexed citations
3.
Gosset, Marielle, et al.. (2023). Hydrometeorological Extreme Events in Africa: The Role of Satellite Observations for Monitoring Pluvial and Fluvial Flood Risk. Surveys in Geophysics. 44(1). 197–223. 17 indexed citations
4.
5.
Kar, Bandana & Guy Schumann. (2022). Reproducibility and replicability of flood models. Hydrological Processes. 36(9). 3 indexed citations
6.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2021). A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation. Water Resources Research. 57(2). 20 indexed citations
7.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2021). On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance. Water Resources Research. 57(2). 16 indexed citations
8.
Dasgupta, Antara, Renaud Hostache, RAAJ Ramsankaran, et al.. (2020). Optimizing SAR-based Flood Extent Assimilation for Improved Flood Inundation Forecasts. 1 indexed citations
9.
Zare, Mohammad, et al.. (2020). Application of a Novel Hybrid Wavelet-ANFIS/Fuzzy C-Means Clustering Model to Predict Groundwater Fluctuations. Atmosphere. 12(1). 9–9. 30 indexed citations
10.
Frasson, Renato Prata de Moraes, Tamlin M. Pavelsky, Mark A. Fonstad, et al.. (2019). Global Relationships Between River Width, Slope, Catchment Area, Meander Wavelength, Sinuosity, and Discharge. Geophysical Research Letters. 46(6). 3252–3262. 113 indexed citations
11.
Walker, Jeffrey P., Antara Dasgupta, Renaud Hostache, et al.. (2019). Optimizing Targeted SAR Acquisitions for Flood Extent Assimilation to Improve Inundation Forecasts. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
O’Loughlin, Fiachra, et al.. (2018). Inundation Extents and Volumes of the Congo's Wetlands. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
13.
Domeneghetti, Alessio, Guy Schumann, Rui Wei, et al.. (2017). Water surface elevation from the upcoming SWOT mission under different flows conditions. EGU General Assembly Conference Abstracts. 6551. 1 indexed citations
14.
Gobeyn, Sacha, Jeffrey Neal, Hans Lievens, et al.. (2016). Calibration of a flood inundation model using a SAR image: influence of acquisition time. EGU General Assembly Conference Abstracts. 1 indexed citations
15.
Schumann, Guy, et al.. (2016). The value of a UAV-acquired DEM for flood inundation mapping and modeling. EGU General Assembly Conference Abstracts. 1 indexed citations
16.
Gobeyn, Sacha, Hans Lievens, Hilde Vernieuwe, et al.. (2015). Impact of the SAR acquisition timing on the calibration of a flood inundation model. EGUGA. 3822. 1 indexed citations
17.
Giustarini, Laura, Renaud Hostache, Patrick Matgen, et al.. (2012). A change detection approach to flood mapping in urban areas using very high-resolution microwave remote sensing imagery. EGUGA. 11254. 1 indexed citations
18.
Hall, Amanda, Guy Schumann, & Jonathan Bamber. (2010). Tracking water level changes of the Amazon basin with space-borne remote sensing and integration with large scale hydrodynamic modelling. EGUGA. 14840. 1 indexed citations
19.
Montanari, M., Renaud Hostache, Patrick Matgen, et al.. (2009). Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages. Hydrology and earth system sciences. 13(3). 367–380. 51 indexed citations
20.
Matgen, Patrick, Guy Schumann, Florian Pappenberger, & Laurent Pfister. (2007). 4. Sequential Assimilation of Remotely Sensed Water Stages in Flood Inundation Models. Tunnelling and Underground Space Technology. 17(1). 37–38. 4 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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