Rob Roebeling

2.2k total citations
47 papers, 1.2k citations indexed

About

Rob Roebeling is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Rob Roebeling has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 9 papers in Artificial Intelligence. Recurrent topics in Rob Roebeling's work include Atmospheric aerosols and clouds (28 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Meteorological Phenomena and Simulations (16 papers). Rob Roebeling is often cited by papers focused on Atmospheric aerosols and clouds (28 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Meteorological Phenomena and Simulations (16 papers). Rob Roebeling collaborates with scholars based in Netherlands, Germany and United States. Rob Roebeling's co-authors include A. Feijt, Hartwig Deneke, Piet Stammes, Jan Fokke Meirink, Iwan Holleman, Tim J. Hewison, E. Wolters, Marc Stringer, Richard P. Allan and Elena Tarnavsky and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

Rob Roebeling

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rob Roebeling Netherlands 16 895 803 228 142 76 47 1.2k
Juan P. Díaz Spain 19 830 0.9× 832 1.0× 94 0.4× 92 0.6× 53 0.7× 60 1.2k
Martin Stengel Germany 22 1.2k 1.3× 1.1k 1.4× 138 0.6× 79 0.6× 43 0.6× 64 1.4k
David A. Rutan United States 18 1.9k 2.1× 1.6k 2.0× 209 0.9× 98 0.7× 73 1.0× 57 2.0k
Stefano Federico Italy 19 625 0.7× 722 0.9× 38 0.2× 154 1.1× 42 0.6× 83 976
Baike Xi United States 29 2.5k 2.8× 2.5k 3.2× 145 0.6× 99 0.7× 42 0.6× 115 2.8k
Byung-Ju Sohn South Korea 24 1.7k 1.9× 1.7k 2.1× 65 0.3× 143 1.0× 147 1.9× 108 2.0k
Daisuke Nohara Japan 13 617 0.7× 437 0.5× 55 0.2× 121 0.9× 74 1.0× 61 941
Maurice Schmeits Netherlands 18 570 0.6× 811 1.0× 88 0.4× 150 1.1× 32 0.4× 40 1.1k
Toshihisa Matsui United States 28 2.2k 2.5× 2.1k 2.7× 47 0.2× 214 1.5× 137 1.8× 70 2.5k
Bruce McArthur Canada 8 753 0.8× 613 0.8× 246 1.1× 77 0.5× 114 1.5× 11 1.0k

Countries citing papers authored by Rob Roebeling

Since Specialization
Citations

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

Fields of papers citing papers by Rob Roebeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Roebeling

This figure shows the co-authorship network connecting the top 25 collaborators of Rob Roebeling. A scholar is included among the top collaborators of Rob Roebeling 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 Rob Roebeling. Rob Roebeling 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.
Roebeling, Rob, Stephan Bojinski, Sven Poli, Viju O. John, & Jörg Schulz. (2025). On the Determination of GCOS ECV Product Requirements for Climate Applications. Bulletin of the American Meteorological Society. 106(5). E868–E893. 3 indexed citations
2.
Fuchs, Julia, et al.. (2022). High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds. Atmospheric measurement techniques. 15(14). 4257–4270. 6 indexed citations
3.
4.
Chellappan, Seethala, Jan Fokke Meirink, Ákos Horváth, Ralf Bennartz, & Rob Roebeling. (2018). Characterizing the diurnal cycle of South Atlantic stratocumulus cloud properties from satellite retrievals. Biogeosciences (European Geosciences Union). 1 indexed citations
5.
Chellappan, Seethala, Jan Fokke Meirink, Ákos Horváth, Ralf Bennartz, & Rob Roebeling. (2018). Evaluating the diurnal cycle of South Atlantic stratocumulus clouds as observed by MSG SEVIRI. Atmospheric chemistry and physics. 18(17). 13283–13304. 13 indexed citations
6.
Roebeling, Rob, et al.. (2015). METEOSAT IR and WV channels Fundamental Climate Data Record. EGUGA. 1485. 1 indexed citations
7.
Roebeling, Rob, Bryan A. Baum, Ralf Bennartz, et al.. (2014). Summary of the Fourth Cloud Retrieval Evaluation Workshop. Bulletin of the American Meteorological Society. 96(4). ES71–ES74. 5 indexed citations
8.
Meirink, Jan Fokke, Rob Roebeling, & P. Stammes. (2013). Inter-calibration of polar imager solar channels using SEVIRI. Atmospheric measurement techniques. 6(9). 2495–2508. 51 indexed citations
9.
Su, Zhongbo, Diego Fernández‐Prieto, Joris Timmermans, et al.. (2013). First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS). International Journal of Applied Earth Observation and Geoinformation. 26. 270–285. 19 indexed citations
10.
Roebeling, Rob, Bryan A. Baum, Ralf Bennartz, et al.. (2013). Outcome of the third cloud retrieval evaluation workshop. AIP conference proceedings. 416–419. 4 indexed citations
11.
Jonkheid, Bastiaan, Rob Roebeling, & Erik van Meijgaard. (2012). A fast SEVIRI simulator for quantifying retrieval uncertainties in the CM SAF cloud physical property algorithm. Atmospheric chemistry and physics. 12(22). 10957–10969. 9 indexed citations
12.
Hanschmann, Timo, Hartwig Deneke, Rob Roebeling, & Andreas Macke. (2012). Evaluation of the shortwave cloud radiative effect over the ocean by use of ship and satellite observations. Atmospheric chemistry and physics. 12(24). 12243–12253. 8 indexed citations
13.
Wolters, E., Bart van den Hurk, & Rob Roebeling. (2011). Evaluation of rainfall retrievals from SEVIRI reflectances over West Africa using TRMM-PR and CMORPH. Hydrology and earth system sciences. 15(2). 437–451. 15 indexed citations
14.
Deneke, Hartwig & Rob Roebeling. (2010). Downscaling of METEOSAT SEVIRI 0.6 and 0.8 μm channel radiances utilizing the high-resolution visible channel. Atmospheric chemistry and physics. 10(20). 9761–9772. 34 indexed citations
15.
Schutgens, Nick, et al.. (2009). Effect of inhomogeneity on the validation of SEVIRI LWP. AIP conference proceedings. 424–427. 1 indexed citations
16.
Kaspar, Frank, Jörg Schulz, Rainer Hollmann, et al.. (2009). Satellite-based datasets for validation of regional climate models: CM-SAF product suite and new tools for processing. EGU General Assembly Conference Abstracts. 11(1-2). 11948–81. 1 indexed citations
17.
Deneke, Hartwig, A. Feijt, & Rob Roebeling. (2008). Estimating surface solar irradiance from METEOSAT SEVIRI-derived cloud properties. Remote Sensing of Environment. 112(6). 3131–3141. 83 indexed citations
18.
Roebeling, Rob. (2006). Analysis of uncertainties in SEVIRI cloud property retrievals for climate monitoring. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations
19.
Weele, Michiel van, Ronald van der A, Jos van Geffen, & Rob Roebeling. (2005). Space-based surface UV monitoring for Europe using SCIAMACHY and MSG. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5979. 59791K–59791K. 7 indexed citations
20.
Bastiaanssen, W.G.M., H. Pelgrum, T. van der Wal, & Rob Roebeling. (1996). Aggregation of evaporative fraction by remote sensing from micro to macro scale. Socio-Environmental Systems Modeling. 115–132. 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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