Rafael Rosolem

4.4k total citations · 1 hit paper
71 papers, 2.4k citations indexed

About

Rafael Rosolem is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Rafael Rosolem has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 29 papers in Water Science and Technology and 29 papers in Global and Planetary Change. Recurrent topics in Rafael Rosolem's work include Soil Moisture and Remote Sensing (30 papers), Hydrology and Watershed Management Studies (29 papers) and Soil and Unsaturated Flow (24 papers). Rafael Rosolem is often cited by papers focused on Soil Moisture and Remote Sensing (30 papers), Hydrology and Watershed Management Studies (29 papers) and Soil and Unsaturated Flow (24 papers). Rafael Rosolem collaborates with scholars based in United Kingdom, United States and Germany. Rafael Rosolem's co-authors include Trenton E. Franz, Marek Zreda, W. James Shuttleworth, Xubin Zeng, Ty P. A. Ferré, C. Zweck, Darin Desilets, Thorsten Wagener, L. Goncalves and Andreas Hartmann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Rafael Rosolem

69 papers receiving 2.4k citations

Hit Papers

COSMOS: the COsmic-ray Soil Moisture Observing System 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Rosolem United Kingdom 25 1.5k 935 799 760 632 71 2.4k
B. Cappelaere France 29 893 0.6× 564 0.6× 230 0.3× 1.7k 2.2× 994 1.6× 79 2.7k
A. G. C. A. Meesters Netherlands 22 692 0.5× 1.2k 1.3× 144 0.2× 1.6k 2.1× 765 1.2× 44 3.0k
Hyongki Lee United States 33 717 0.5× 747 0.8× 104 0.1× 1.7k 2.2× 1.2k 1.9× 105 3.2k
Alexander Loew Germany 31 2.8k 1.8× 2.9k 3.1× 578 0.7× 1.5k 2.0× 482 0.8× 89 4.2k
Yun Pan China 23 507 0.3× 228 0.2× 74 0.1× 743 1.0× 760 1.2× 57 2.5k
Nicolás Reul France 38 2.5k 1.7× 3.9k 4.2× 239 0.3× 1.3k 1.7× 199 0.3× 102 5.8k
Michael G. Bosilovich United States 35 852 0.6× 3.7k 3.9× 198 0.2× 4.1k 5.4× 811 1.3× 89 5.1k
Bailing Li United States 17 498 0.3× 288 0.3× 76 0.1× 740 1.0× 519 0.8× 30 1.7k
Mark R. Drinkwater United States 34 1.9k 1.3× 3.9k 4.2× 235 0.3× 659 0.9× 162 0.3× 126 4.9k
David Jon Furbish United States 35 270 0.2× 855 0.9× 255 0.3× 365 0.5× 367 0.6× 92 3.2k

Countries citing papers authored by Rafael Rosolem

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Rosolem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Rosolem

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Rosolem. A scholar is included among the top collaborators of Rafael Rosolem 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 Rafael Rosolem. Rafael Rosolem 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.
2.
Kumar, Rohini, Sabine Attinger, Oldřich Rakovec, et al.. (2024). Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model. Hydrology and earth system sciences. 28(24). 5419–5441. 3 indexed citations
3.
Koppa, Akash, Jessica Keune, David MacLeod, et al.. (2023). A Lagrangian Analysis of the Sources of Rainfall Over the Horn of Africa Drylands. Journal of Geophysical Research Atmospheres. 128(12). 4 indexed citations
4.
Singer, Michael Bliss, Katerina Michaelides, Rafael Rosolem, et al.. (2023). Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region. Hydrological Processes. 37(12). 4 indexed citations
5.
Asfaw, Dagmawi, Michael Bliss Singer, Rafael Rosolem, et al.. (2023). stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts. Geoscientific model development. 16(2). 557–571. 4 indexed citations
6.
Rico‐Ramirez, Miguel A., et al.. (2021). Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India. Hydrology and earth system sciences. 25(12). 6339–6357. 19 indexed citations
7.
Wagener, Thorsten, Tom Gleeson, Gemma Coxon, et al.. (2021). On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation. Wiley Interdisciplinary Reviews Water. 8(6). 38 indexed citations
8.
Rico‐Ramirez, Miguel A., et al.. (2020). Quantifying the impact of land cover changes on hydrological extremes in India. 2 indexed citations
9.
Rinderer, Michael, Bartolomé Andreo, Andy Baker, et al.. (2020). A soil moisture monitoring network to characterize karstic recharge and evapotranspiration at five representative sites across the globe. Geoscientific instrumentation, methods and data systems. 9(1). 11–23. 25 indexed citations
10.
Sarrazin, Fanny, Andreas Hartmann, Francesca Pianosi, Rafael Rosolem, & Thorsten Wagener. (2018). V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions. Geoscientific model development. 11(12). 4933–4964. 42 indexed citations
11.
Rahman, Mostaquimur & Rafael Rosolem. (2017). Towards a simple representation of chalk hydrology in land surface modelling. Hydrology and earth system sciences. 21(1). 459–471. 18 indexed citations
12.
Schrön, Martin, Markus Köhli, Lena Scheiffele, et al.. (2017). Improving Calibration and Validation of Cosmic-Ray NeutronSensors in the Light of Spatial Sensitivity – Theory and Evidence. Digital Commons - USU (Utah State University). 9 indexed citations
13.
Iwema, Joost, Rafael Rosolem, Mostaquimur Rahman, Eleanor Blyth, & Thorsten Wagener. (2017). Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration. Hydrology and earth system sciences. 21(6). 2843–2861. 22 indexed citations
14.
Iwema, Joost, Rafael Rosolem, Mostaquimur Rahman, Eleanor Blyth, & Thorsten Wagener. (2016). Reducing soil moisture measurement scale mismatch to improve surface energy flux estimation. Bristol Research (University of Bristol). 1 indexed citations
15.
Oliveira, Paulo Tarso Sanches de, Edson Wendland, M. A. Nearing, et al.. (2015). The water balance components of undisturbed tropical woodlands in the Brazilian cerrado. Hydrology and earth system sciences. 19(6). 2899–2910. 61 indexed citations
16.
Rosolem, Rafael, T. J. Hoar, Avelino F. Arellano, et al.. (2014). Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale. Hydrology and earth system sciences. 18(11). 4363–4379. 48 indexed citations
17.
Franz, Trenton E., Marek Zreda, Rafael Rosolem, et al.. (2013). Ecosystem‐scale measurements of biomass water using cosmic ray neutrons. Geophysical Research Letters. 40(15). 3929–3933. 57 indexed citations
18.
Shuttleworth, James, Rafael Rosolem, Marek Zreda, & Trenton E. Franz. (2013). The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation. 5 indexed citations
19.
Franz, Trenton E., Marek Zreda, Rafael Rosolem, & Ty P. A. Ferré. (2013). A universal calibration function for determination of soil moisture with cosmic-ray neutrons. Hydrology and earth system sciences. 17(2). 453–460. 102 indexed citations
20.
Shuttleworth, James, Rafael Rosolem, Marek Zreda, & Trenton E. Franz. (2013). The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation. Hydrology and earth system sciences. 17(8). 3205–3217. 72 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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