Marc Röger

1.5k total citations
82 papers, 1.1k citations indexed

About

Marc Röger is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Marc Röger has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Renewable Energy, Sustainability and the Environment, 27 papers in Artificial Intelligence and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Marc Röger's work include Solar Thermal and Photovoltaic Systems (61 papers), Photovoltaic System Optimization Techniques (45 papers) and Solar Radiation and Photovoltaics (27 papers). Marc Röger is often cited by papers focused on Solar Thermal and Photovoltaic Systems (61 papers), Photovoltaic System Optimization Techniques (45 papers) and Solar Radiation and Photovoltaics (27 papers). Marc Röger collaborates with scholars based in Germany, Spain and France. Marc Röger's co-authors include Reiner Buck, Christoph Prahl, Steffen Ulmer, Lars Amsbeck, Birgit Gobereit, Robert Pitz‐Paal, Peter Schwarzbözl, Fabian Wolfertstetter, Bernhard Hoffschmidt and H. Müller-Steinhagen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Neurochemistry.

In The Last Decade

Marc Röger

76 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Röger Germany 18 813 328 289 226 111 82 1.1k
Jesús Fernández‐Reche Spain 19 1.0k 1.2× 393 1.2× 546 1.9× 199 0.9× 110 1.0× 87 1.3k
Eckhard Lüpfert Germany 17 788 1.0× 339 1.0× 186 0.6× 224 1.0× 45 0.4× 63 936
Julius Yellowhair United States 15 503 0.6× 104 0.3× 274 0.9× 215 1.0× 142 1.3× 61 811
Aleksandar Georgiev Bulgaria 14 589 0.7× 195 0.6× 277 1.0× 111 0.5× 37 0.3× 37 832
Arian Bahrami Cyprus 18 300 0.4× 230 0.7× 62 0.2× 238 1.1× 48 0.4× 52 959
Roberto Grena Italy 12 490 0.6× 246 0.8× 204 0.7× 154 0.7× 17 0.2× 32 778
Fuqing Cui China 16 1.1k 1.4× 384 1.2× 519 1.8× 209 0.9× 100 0.9× 29 1.3k
Francisco Javier Conde Collado Spain 13 841 1.0× 399 1.2× 319 1.1× 274 1.2× 37 0.3× 40 983
Yvan Dutil Canada 13 706 0.9× 94 0.3× 873 3.0× 98 0.4× 62 0.6× 42 1.5k
Arash Sayyah United States 13 583 0.7× 225 0.7× 97 0.3× 413 1.8× 24 0.2× 24 874

Countries citing papers authored by Marc Röger

Since Specialization
Citations

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

Fields of papers citing papers by Marc Röger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Röger

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Röger. A scholar is included among the top collaborators of Marc Röger 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 Marc Röger. Marc Röger 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.
Nieslony, M., et al.. (2025). Bridging the sim2real gap: Training deep neural networks for heliostat detection with purely synthetic data. Solar Energy. 300. 113728–113728. 1 indexed citations
2.
Nieslony, M., et al.. (2025). A simulation environment for UAV-based real-time condition monitoring of solar tower power plants. Solar Energy. 300. 113803–113803.
3.
Jung, Christian, et al.. (2025). Operation of HELISOL®5A in a parabolic trough test loop. Solar Energy. 290. 113301–113301.
4.
Ávila-Marín, Antonio L., Jesús Fernández‐Reche, R. Monterreal, et al.. (2024). Testing and Validation of Innovative on-Site Solar Field Measurement Techniques to Increase Power Tower Plant Performance: The LEIA Project. SHILAP Revista de lepidopterología. 2. 1 indexed citations
5.
Wilbert, Stefan, Marc Röger, Julian J. Krauth, et al.. (2024). Cell-Resolved PV Soiling Measurement Using Drone Images. Remote Sensing. 16(14). 2617–2617. 5 indexed citations
6.
Sánchez, Marcelino, Charles-Alexis Asselineau, Kenneth Armijo, et al.. (2024). SolarPACES Task III Project: Analyze Heliostat Field:. SHILAP Revista de lepidopterología. 2.
7.
Krauth, Julian J., et al.. (2024). HelioPoint – A Fast Airborne Calibration Method for Heliostat Fields. Journal of Solar Energy Engineering. 146(6). 3 indexed citations
8.
Wilbert, Stefan, Marc Röger, Florian Sutter, et al.. (2024). Electrothermal Modeling of Photovoltaic Modules for the Detection of Hot-Spots Caused by Soiling. Energies. 17(19). 4878–4878. 2 indexed citations
9.
Buck, Reiner, et al.. (2023). Experimental analysis of forced convective heat transfer of nitrate salt in a spirally grooved tube at high Reynolds numbers and temperatures. International Journal of Heat and Mass Transfer. 204. 123834–123834. 2 indexed citations
10.
Röger, Marc, et al.. (2023). A Model Calibration Approach to U-Value Measurements with Thermography. Buildings. 13(9). 2253–2253. 2 indexed citations
11.
Vicente, Gema San, Ángel Morales, Jesús Ballestrín, et al.. (2023). Intercomparison of opto-thermal spectral measurements for concentrating solar thermal receiver materials from room temperature up to 800 °C. Solar Energy Materials and Solar Cells. 266. 112677–112677. 3 indexed citations
12.
Röger, Marc, et al.. (2022). A two-stage method for measuring the heliostat offset. AIP conference proceedings. 2445. 70005–70005. 9 indexed citations
13.
Vinetsky, Yelena, Ángel Morales, Alina Agüero, et al.. (2022). Laboratory intercomparison of solar absorptance and thermal emittance measurements at room temperature. Solar Energy Materials and Solar Cells. 238. 111579–111579. 7 indexed citations
14.
Röger, Marc, et al.. (2022). Status update of the SolarPACES heliostat testing activities. AIP conference proceedings. 2445. 70010–70010. 6 indexed citations
15.
Röger, Marc, et al.. (2020). Selection of Solar Concentrator Design Concepts for Planar Photoelectrochemical Water Splitting Devices. Energies. 13(19). 5196–5196. 7 indexed citations
16.
Röger, Marc, et al.. (2020). Review of heliostat calibration and tracking control methods. Solar Energy. 207. 110–132. 51 indexed citations
18.
Gobereit, Birgit, Lars Amsbeck, Reiner Buck, et al.. (2015). Assessment of a falling solid particle receiver with numerical simulation. Solar Energy. 115. 505–517. 52 indexed citations
19.
Amsbeck, Lars, Gundula Helsch, Marc Röger, & Ralf Uhlig. (2009). Development of a Broadband Antireflection Coated Transparent Silica Window for a Solar-Hybrid Microturbine System. Journal of Neurochemistry. 61(6). 2225–32. 15 indexed citations
20.
Prahl, Christoph, et al.. (2009). Advances in Optical Measurement Techniques for Solar Concentrators. Pulmonary Pharmacology & Therapeutics. 17(6). 355–60. 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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