David Riveros-Rosas

571 total citations
37 papers, 443 citations indexed

About

David Riveros-Rosas is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, David Riveros-Rosas has authored 37 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Renewable Energy, Sustainability and the Environment, 19 papers in Artificial Intelligence and 8 papers in Atmospheric Science. Recurrent topics in David Riveros-Rosas's work include Solar Thermal and Photovoltaic Systems (24 papers), Solar Radiation and Photovoltaics (19 papers) and Photovoltaic System Optimization Techniques (16 papers). David Riveros-Rosas is often cited by papers focused on Solar Thermal and Photovoltaic Systems (24 papers), Solar Radiation and Photovoltaics (19 papers) and Photovoltaic System Optimization Techniques (16 papers). David Riveros-Rosas collaborates with scholars based in Mexico, Spain and France. David Riveros-Rosas's co-authors include Camilo A. Arancibia‐Bulnes, Claudio A. Estrada, H. Romero-Paredes, Heidi Isabel Villafán-Vidales, Marcelino Sánchez, Carlos Pérez-Rábago, Ó.A. Jaramillo, Joel Herrera, R.E. Cabanillas and S. Vázquez-Montiel and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

David Riveros-Rosas

35 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Riveros-Rosas Mexico 12 262 114 102 97 94 37 443
Paulo Canhoto Portugal 13 375 1.4× 176 1.5× 45 0.4× 304 3.1× 191 2.0× 35 679
Weicong Xu China 17 322 1.2× 164 1.4× 80 0.8× 181 1.9× 612 6.5× 56 998
G. Burgess Australia 9 259 1.0× 92 0.8× 80 0.8× 54 0.6× 152 1.6× 12 520
Dai Liu China 11 126 0.5× 38 0.3× 103 1.0× 14 0.1× 104 1.1× 39 443
Tor Oskar Sætre Norway 14 357 1.4× 305 2.7× 17 0.2× 184 1.9× 43 0.5× 37 589
Benjamin Grange France 14 318 1.2× 97 0.9× 59 0.6× 39 0.4× 240 2.6× 24 500
Stefano Giuliano Germany 12 301 1.1× 67 0.6× 27 0.3× 84 0.9× 154 1.6× 30 380
Markus Pfänder Germany 8 307 1.2× 52 0.5× 43 0.4× 71 0.7× 204 2.2× 14 378
Michel Rivero Mexico 10 63 0.2× 81 0.7× 82 0.8× 37 0.4× 75 0.8× 47 334
Ismail Adewale Olumegbon Nigeria 9 108 0.4× 87 0.8× 189 1.9× 31 0.3× 153 1.6× 10 409

Countries citing papers authored by David Riveros-Rosas

Since Specialization
Citations

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

Fields of papers citing papers by David Riveros-Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Riveros-Rosas. 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 David Riveros-Rosas. The network helps show where David Riveros-Rosas may publish in the future.

Co-authorship network of co-authors of David Riveros-Rosas

This figure shows the co-authorship network connecting the top 25 collaborators of David Riveros-Rosas. A scholar is included among the top collaborators of David Riveros-Rosas 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 David Riveros-Rosas. David Riveros-Rosas 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.
Herrera, Víctor Manuel Velasco, Willie Soon, A. Özgüç, et al.. (2025). Solar Flare Activity, 1937–2024: Introducing the New Hemispheric Solar Flare Index (hSFI) in the Context of 2024's Major Solar Storm Events. Space Weather. 23(11).
2.
Villafán-Vidales, Heidi Isabel, et al.. (2025). Homogenization of solar furnace concentrated flux over a cylindrical receiver. Applied Thermal Engineering. 280. 128068–128068.
3.
Riveros-Rosas, David, et al.. (2025). Secondary mirrors for homogenization of parabolic trough radiative flux distributions on cylindrical receivers. Solar Energy. 287. 113209–113209. 2 indexed citations
4.
Riveros-Rosas, David, et al.. (2024). Characteristics of Absorbing Aerosols in Mexico City: A Study of Morphology and Columnar Microphysical Properties. Atmosphere. 15(1). 108–108. 1 indexed citations
5.
Riveros-Rosas, David, et al.. (2023). DNI Nowcasting Applying a Differential Approach Method Into Sky Camera Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations
6.
Riveros-Rosas, David, et al.. (2022). Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite. Remote Sensing. 14(9). 2203–2203. 1 indexed citations
7.
Cabanillas, R.E., et al.. (2021). Study of the Radiation Flux Distribution in a Parabolic Dish Concentrator. Energies. 14(21). 7053–7053. 6 indexed citations
8.
Ladino, Luis A., et al.. (2021). Characterization of aerosol particles during a high pollution episode over Mexico City. Scientific Reports. 11(1). 22533–22533. 11 indexed citations
9.
Valentín-Coronado, Luis M., et al.. (2021). Solar irradiance components estimation based on a low-cost sky-imager. Solar Energy. 220. 269–281. 5 indexed citations
10.
Alonso-Montesinos, Joaquín, et al.. (2020). Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area. Remote Sensing. 12(7). 1212–1212. 6 indexed citations
11.
Villafán-Vidales, Heidi Isabel, et al.. (2018). Radiative analysis in a multichanneled monolith solar reactor coated with ZnFe2O4 thin film. International Journal of Thermal Sciences. 132. 275–284. 7 indexed citations
12.
Riveros-Rosas, David, et al.. (2017). Columnar aerosol optical properties at AERONET sites in northern, central and southern Mexico. EGUGA. 17984. 1 indexed citations
13.
Villafán-Vidales, Heidi Isabel, Camilo A. Arancibia‐Bulnes, David Riveros-Rosas, H. Romero-Paredes, & Claudio A. Estrada. (2016). An overview of the solar thermochemical processes for hydrogen and syngas production: Reactors, and facilities. Renewable and Sustainable Energy Reviews. 75. 894–908. 102 indexed citations
14.
Riveros-Rosas, David, et al.. (2015). Analysis of the influence of the site in the final energy cost of solar furnaces for its use in industrial applications. Solar Energy. 118. 286–294. 7 indexed citations
15.
Arancibia‐Bulnes, Camilo A., et al.. (2014). Beam Solar Irradiation Assessment for Sonora, Mexico. Energy Procedia. 49. 2290–2296. 17 indexed citations
16.
Riveros-Rosas, David, et al.. (2013). UVB solar radiation climatology for Mexico. Geofísica Internacional. 52(1). 31–42. 6 indexed citations
17.
Arancibia‐Bulnes, Camilo A., et al.. (2012). Analysis of Drift Phenomena in Heliostat Images. 385–392. 2 indexed citations
18.
Riveros-Rosas, David, et al.. (2011). Conical receiver for a paraboloidal concentrator with large rim angle. Solar Energy. 86(4). 1053–1062. 17 indexed citations
19.
Villafán-Vidales, Heidi Isabel, Camilo A. Arancibia‐Bulnes, Stéphane Abanades, David Riveros-Rosas, & H. Romero-Paredes. (2011). Monte Carlo Heat Transfer Modeling of a Particle-Cloud Solar Reactor for SnO2 Thermal Reduction. Journal of Solar Energy Engineering. 133(4). 5 indexed citations
20.
Riveros-Rosas, David, Joel Herrera, Carlos Pérez-Rábago, et al.. (2010). Optical design of a high radiative flux solar furnace for Mexico. Solar Energy. 84(5). 792–800. 55 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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