Stephen Askins

1.3k total citations
85 papers, 919 citations indexed

About

Stephen Askins is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Stephen Askins has authored 85 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Electrical and Electronic Engineering, 39 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Biomedical Engineering. Recurrent topics in Stephen Askins's work include solar cell performance optimization (75 papers), Photovoltaic System Optimization Techniques (26 papers) and Solar Thermal and Photovoltaic Systems (25 papers). Stephen Askins is often cited by papers focused on solar cell performance optimization (75 papers), Photovoltaic System Optimization Techniques (26 papers) and Solar Thermal and Photovoltaic Systems (25 papers). Stephen Askins collaborates with scholars based in Spain, United States and Germany. Stephen Askins's co-authors include Ignacio Antón, César Domínguez, Gabriel Sala, Marta Victoria, Rebeca Herrero, G. Sala, Kenji Araki, Stewart Sherrit, Benjamin P. Dolgin and Frank Dimroth and has published in prestigious journals such as Optics Express, Solar Energy and Solar Energy Materials and Solar Cells.

In The Last Decade

Stephen Askins

81 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Askins Spain 17 772 517 92 82 80 85 919
César Domínguez Spain 17 1.1k 1.4× 711 1.4× 107 1.2× 104 1.3× 115 1.4× 109 1.2k
Ralf Leutz Germany 12 415 0.5× 319 0.6× 74 0.8× 64 0.8× 57 0.7× 45 566
Ignacio Antón Spain 21 1.5k 2.0× 1.1k 2.1× 131 1.4× 167 2.0× 175 2.2× 144 1.8k
Julius Yellowhair United States 15 215 0.3× 503 1.0× 115 1.3× 53 0.6× 104 1.3× 61 811
Paola Sansoni Italy 15 205 0.3× 567 1.1× 283 3.1× 76 0.9× 89 1.1× 60 910
Xiaolei Li China 15 124 0.2× 275 0.5× 118 1.3× 114 1.4× 39 0.5× 67 685
D. Fontani Italy 13 164 0.2× 412 0.8× 172 1.9× 59 0.7× 84 1.1× 50 618
D. Jafrancesco Italy 13 167 0.2× 455 0.9× 216 2.3× 73 0.9× 77 1.0× 52 698
Ru-Min Chao Taiwan 13 322 0.4× 186 0.4× 113 1.2× 5 0.1× 90 1.1× 28 482
Olivier Riou France 14 195 0.3× 158 0.3× 36 0.4× 7 0.1× 49 0.6× 36 479

Countries citing papers authored by Stephen Askins

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Askins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Askins

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Askins. A scholar is included among the top collaborators of Stephen Askins 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 Stephen Askins. Stephen Askins 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
2.
Askins, Stephen, et al.. (2024). Relative angular response characterization in VIPV. Solar Energy Materials and Solar Cells. 276. 113063–113063. 2 indexed citations
3.
Moreno, M., et al.. (2024). cpvlib: A comprehensive open-source tool for modeling CPV systems. Solar Energy Materials and Solar Cells. 279. 113245–113245. 1 indexed citations
4.
Herrero, Rebeca, et al.. (2023). Collimated solar simulator for curved PV modules characterization. Solar Energy Materials and Solar Cells. 258. 112418–112418. 6 indexed citations
5.
Araki, Kenji, Carlos Algora, Gerald Siefer, et al.. (2022). CPV standardization 2021 – Maintenance and stability. AIP conference proceedings. 2550. 50001–50001. 1 indexed citations
6.
Askins, Stephen, et al.. (2022). Array of micro multijunction solar cells interconnected by conductive inks. Solar Energy Materials and Solar Cells. 240. 111693–111693. 5 indexed citations
7.
Araki, Kenji, Carlos Algora, Gerald Siefer, et al.. (2018). Standardization of the CPV and car-roof PV technology in 2018 – Where are we going to go?. AIP conference proceedings. 2012. 70001–70001. 17 indexed citations
8.
Antón, Ignacio, Stephen Askins, Rebeca Herrero, et al.. (2018). From component to multi-junction solar cells for spectral monitoring. AIP conference proceedings. 2012. 100002–100002. 1 indexed citations
9.
Askins, Stephen, Jaione Bengoechea, Sam Carter, et al.. (2018). Technical specification IEC TS 62989:2018 – Primary optics for concentrator photovoltaic systems. AIP conference proceedings. 2012. 70002–70002. 1 indexed citations
10.
Victoria, Marta, Stephen Askins, Ignacio Antón, et al.. (2017). Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass (ADG) Fresnel Lens for Concentrating Photovoltaics. Journal of Visualized Experiments. 2 indexed citations
11.
Victoria, Marta, Stephen Askins, Rebeca Herrero, et al.. (2016). Measuring primary lens efficiency: A proposal for standardization. AIP conference proceedings. 1766. 120001–120001. 6 indexed citations
12.
Antón, Ignacio, et al.. (2014). Atmospheric parameters, spectral indexes and their relation to CPV spectral performance. AIP conference proceedings. 290–293. 5 indexed citations
13.
Antón, Ignacio, César Domínguez, Marta Victoria, et al.. (2012). Characterization Capabilities of Solar Simulators for Concentrator Photovoltaic Modules. Japanese Journal of Applied Physics. 51(10S). 10ND12–10ND12. 7 indexed citations
14.
Victoria, Marta, César Domínguez, Stephen Askins, Ignacio Antón, & Gabriel Sala. (2012). Characterizing FluidReflex Optical Transfer Function. Japanese Journal of Applied Physics. 51(10S). 10ND06–10ND06. 2 indexed citations
15.
Askins, Stephen, César Domínguez, Ignacio Antón, et al.. (2011). Quantifying the Solar Simulator Requirements for Indoor Testing of CPV Modules. AIP conference proceedings. 180–183. 1 indexed citations
16.
Victoria, Marta, Rebeca Herrero, César Domínguez, et al.. (2011). Spatial and spectral non-uniform irradiance distribution effects on multijunction solar cells. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8007. 800724–800724. 1 indexed citations
17.
Herrero, Rebeca, Marta Victoria, César Domínguez, et al.. (2011). Concentration photovoltaic optical system irradiance distribution measurements and its effect on multi‐junction solar cells. Progress in Photovoltaics Research and Applications. 20(4). 423–430. 66 indexed citations
18.
Herrero, Rebeca, César Domínguez, & Stephen Askins. (2010). Two-dimensional angular transmission characterization of CPV modules. Optics Express. 18(S4). A499–A499. 16 indexed citations
19.
Askins, Stephen, César Domínguez, Ignacio Antón, & G. Sala. (2010). An Indoor/Outdoor Method for CPV Power Rating: Application to Draft IEC Standard. EU PVSEC. 110–113. 1 indexed citations
20.
Sherrit, Stewart, et al.. (2002). Characterization of transducers and resonators under high drive levels. 2. 1097–1100. 17 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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