Daniel Riley

911 total citations
46 papers, 610 citations indexed

About

Daniel Riley is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel Riley has authored 46 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Renewable Energy, Sustainability and the Environment, 24 papers in Electrical and Electronic Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Daniel Riley's work include Photovoltaic System Optimization Techniques (26 papers), Solar Radiation and Photovoltaics (20 papers) and Solar Thermal and Photovoltaic Systems (17 papers). Daniel Riley is often cited by papers focused on Photovoltaic System Optimization Techniques (26 papers), Solar Radiation and Photovoltaics (20 papers) and Solar Thermal and Photovoltaic Systems (17 papers). Daniel Riley collaborates with scholars based in United States, United Kingdom and Italy. Daniel Riley's co-authors include Joshua S. Stein, Clifford Hansen, Christopher P. Cameron, W.E. Boyson, Jay Johnson, Robert W. Andrews, Ganesh K. Venayagamoorthy, Laurie Burnham, Joshua M. Pearce and Fatima Toor and has published in prestigious journals such as Optics Express, IEEE Transactions on Antennas and Propagation and Progress in Photovoltaics Research and Applications.

In The Last Decade

Daniel Riley

41 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Riley United States 14 421 334 304 93 40 46 610
Roberto Grena Italy 12 490 1.2× 154 0.5× 246 0.8× 31 0.3× 25 0.6× 32 778
J.A. Jervase Oman 10 420 1.0× 358 1.1× 420 1.4× 58 0.6× 15 0.4× 32 706
Fabrizio Bizzarri Italy 9 354 0.8× 342 1.0× 213 0.7× 89 1.0× 21 0.5× 31 556
Georgi Hristov Yordanov Norway 13 371 0.9× 267 0.8× 286 0.9× 41 0.4× 17 0.4× 47 546
Giorgio Belluardo Italy 10 380 0.9× 185 0.6× 252 0.8× 71 0.8× 19 0.5× 23 514
Kari Lappalainen Finland 17 568 1.3× 398 1.2× 393 1.3× 52 0.6× 81 2.0× 39 733
Nicolas Schmutz Australia 7 451 1.1× 439 1.3× 641 2.1× 32 0.3× 37 0.9× 11 746
Ricardo Marquez United States 8 584 1.4× 376 1.1× 803 2.6× 65 0.7× 10 0.3× 13 929
Andreas Pfahl Germany 13 465 1.1× 188 0.6× 146 0.5× 187 2.0× 28 0.7× 29 606
Yoshishige Kemmoku Japan 10 176 0.4× 294 0.9× 126 0.4× 39 0.4× 15 0.4× 35 378

Countries citing papers authored by Daniel Riley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Riley. A scholar is included among the top collaborators of Daniel Riley 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 Daniel Riley. Daniel Riley 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.
Deceglie, Michael G., Timothy J. Silverman, Kevin Anderson, et al.. (2024). Lessons from Testing Perovskite Modules Outdoors: Daily Performance Changes and Degradation. 1245–1245. 1 indexed citations
2.
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4.
Riley, Daniel, et al.. (2023). An Enhanced Snow-Shedding Model: the Module Frame as a Key Variable. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
5.
Fagnoni, Nicolas, Eloy de Lera Acedo, David R. DeBoer, et al.. (2021). Design of the New Wideband Vivaldi Feed for the HERA Radio-Telescope Phase II. IEEE Transactions on Antennas and Propagation. 69(12). 8143–8157. 12 indexed citations
6.
Stein, Joshua S., et al.. (2020). Transient Weighted Moving-Average Model of Photovoltaic Module Back-Surface Temperature. IEEE Journal of Photovoltaics. 10(4). 1053–1060. 27 indexed citations
7.
Riley, Daniel, et al.. (2019). Differences in Snow Shedding in Photovoltaic Systems with Framed and Frameless Modules. Digital Commons - Michigan Tech (Michigan Technological University). 558–561. 12 indexed citations
8.
King, Bruce H., et al.. (2018). Application of the Sandia Array Performance Model to Assess Multiyear Performance of Fielded CIGS PV Arrays. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 133. 3607–3612. 1 indexed citations
9.
Stein, Joshua S., Daniel Riley, Matthew Lave, et al.. (2017). Outdoor Field Performance from Bifacial Photovoltaic Modules and Systems. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3184–3189. 37 indexed citations
10.
King, Bruce H., et al.. (2017). Degradation Assessment of Fielded CIGS Photovoltaic Arrays. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3155–3160. 4 indexed citations
11.
Riley, Daniel, Clifford Hansen, Joshua S. Stein, et al.. (2017). A Performance Model for Bifacial PV Modules. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3348–3353. 15 indexed citations
12.
Riley, Daniel. (2016). Mapping HCPV Module or System Response to Solar Incident Angle.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Driesse, Anton, et al.. (2016). Investigation of pyranometer and photodiode calibrations under different conditions. 127–132. 6 indexed citations
14.
Armijo, Kenneth, et al.. (2015). Predictive reliability for AC photovoltaic modules based on electro-thermal phenomena. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 4 indexed citations
15.
Andrews, Robert W., Joshua S. Stein, Clifford Hansen, & Daniel Riley. (2014). Introduction to the open source PV LIB for python Photovoltaic system modelling package. 170–174. 86 indexed citations
16.
Kurtz, Sarah, Matthew Muller, Dirk Jordan, et al.. (2014). Key parameters in determining energy generated by CPV modules. Progress in Photovoltaics Research and Applications. 23(10). 1250–1259. 29 indexed citations
17.
Granata, Jennifer E, et al.. (2012). Design for reliability: A low concentration PV case study. 1739–1743. 2 indexed citations
18.
Gow, John, et al.. (2010). A novel security/home automation gateway for domestic residences. DMU Open Research Archive (De Montfort University). 497–498.
19.
Riley, Daniel, et al.. (2008). Birefringence and optical power confinement in horizontal multi-slot waveguides made of Si and SiO2. Optics Express. 16(12). 8623–8623. 22 indexed citations
20.
Pate, Ronald C., et al.. (2002). Systems analysis, modeling, simulation, and signal processing aspects of coordinated experimental and modeling investigations of high-speed gas discharge switch breakdown behavior. IEEE Conference Record - Abstracts. PPPS-2001 Pulsed Power Plasma Science 2001. 28th IEEE International Conference on Plasma Science and 13th IEEE International Pulsed Power Conference (Cat. No.01CH37255). 460–460. 2 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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