Jamie M. Bright

2.4k total citations · 1 hit paper
45 papers, 1.6k citations indexed

About

Jamie M. Bright is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Global and Planetary Change. According to data from OpenAlex, Jamie M. Bright has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 18 papers in Renewable Energy, Sustainability and the Environment and 16 papers in Global and Planetary Change. Recurrent topics in Jamie M. Bright's work include Solar Radiation and Photovoltaics (43 papers), Photovoltaic System Optimization Techniques (14 papers) and Solar Thermal and Photovoltaic Systems (14 papers). Jamie M. Bright is often cited by papers focused on Solar Radiation and Photovoltaics (43 papers), Photovoltaic System Optimization Techniques (14 papers) and Solar Thermal and Photovoltaic Systems (14 papers). Jamie M. Bright collaborates with scholars based in Australia, China and Singapore. Jamie M. Bright's co-authors include Nicholas A. Engerer, Dazhi Yang, Christian A. Gueymard, R. Crook, David Lingfors, Chris Smith, Peng Wang, Sven Killinger, Peter Taylor and Jan Kleissl and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Renewable Energy.

In The Last Decade

Jamie M. Bright

44 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

2022 183 citations Dazhi Yang, Meng Wan et al. Renewable and Sustainable Energy Reviews profile →

Peers

Jamie M. Bright

RESE

EEE

GPC

Lourdes Ramírez Spain

Luis Martín Pomares Qatar

F.J. Batlles Spain

Luis F. Zarzalejo Spain

Marion Schroedter‐Homscheidt Germany

Jan Remund Switzerland

Gabriel López Spain

Richard Müller Germany

Nicholas A. Engerer Australia

D. Renné United States

Lourdes Ramírez Spain

Jamie M. Bright

1.2k ×1.0

854 ×1.2

RESE

431 ×0.9

EEE

309 ×0.7

GPC

171 ×0.8

Citations per year, relative to Jamie M. Bright Jamie M. Bright (= 1×) peers Lourdes Ramírez

Countries citing papers authored by Jamie M. Bright

Since Specialization

Citations

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

Fields of papers citing papers by Jamie M. Bright

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie M. Bright. 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 Jamie M. Bright. The network helps show where Jamie M. Bright may publish in the future.

Co-authorship network of co-authors of Jamie M. Bright

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie M. Bright. A scholar is included among the top collaborators of Jamie M. Bright 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 Jamie M. Bright. Jamie M. Bright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Despotović, Milan, et al.. (2025). Stochastic coefficient of variation: Assessing the variability and forecastability of solar irradiance. Renewable Energy. 256. 123913–123913.

Song, Mengmeng, Dazhi Yang, Sebastian Lerch, et al.. (2024). Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts. Advances in Atmospheric Sciences. 41(7). 1417–1437. 5 indexed citations

Liu, Bai, Dazhi Yang, Martin János Mayer, et al.. (2023). Predictability and forecast skill of solar irradiance over the contiguous United States. Renewable and Sustainable Energy Reviews. 182. 113359–113359. 16 indexed citations

Yang, Dazhi, Martin János Mayer, Christian A. Gueymard, et al.. (2023). Regime-dependent 1-min irradiance separation model with climatology clustering. Renewable and Sustainable Energy Reviews. 189. 113992–113992. 13 indexed citations

Yang, Dazhi, Meng Wan, Jamie M. Bright, et al.. (2022). Verifying operational intra-day solar forecasts from ECMWF and NOAA. Solar Energy. 236. 743–755. 37 indexed citations

Wang, Peng, et al.. (2021). Data article: Full disk real-time Himawari-8/9 satellite AHI imagery from JAXA. Journal of Renewable and Sustainable Energy. 13(6). 3 indexed citations

Bright, Jamie M.. (2021). Synthetic Solar Irradiance. 5 indexed citations

Shepero, Mahmoud, David Lingfors, Joakim Widén, Jamie M. Bright, & Joakim Munkhammar. (2020). Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas. Journal of Renewable and Sustainable Energy. 12(4). 8 indexed citations

Gueymard, Christian A., Jamie M. Bright, David Lingfors, Aron Habte, & Manajit Sengupta. (2019). A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers. Renewable and Sustainable Energy Reviews. 109. 412–427. 58 indexed citations

10.

Saint‐Drenan, Yves‐Marie, et al.. (2019). Bayesian parameterisation of a regional photovoltaic model – Application to forecasting. Solar Energy. 188. 760–774. 15 indexed citations

11.

Bright, Jamie M.. (2019). Solcast: Validation of a satellite-derived solar irradiance dataset. Solar Energy. 189. 435–449. 86 indexed citations

12.

Bright, Jamie M., et al.. (2019). Solar forecasting as an enablement tool for the distribution system operator (DSO). 1637–1644. 1 indexed citations

13.

Bright, Jamie M. & Christian A. Gueymard. (2019). Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations. Solar Energy. 183. 594–605. 56 indexed citations

14.

Soubdhan, Ted, et al.. (2019). Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data. Solar Energy. 182. 462–479. 28 indexed citations

15.

Bright, Jamie M., et al.. (2019). Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis. Renewable and Sustainable Energy Reviews. 111. 550–570. 108 indexed citations

16.

Saint‐Drenan, Yves‐Marie, et al.. (2018). On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading. Solar Energy. 173. 1087–1106. 51 indexed citations

17.

Killinger, Sven, Jamie M. Bright, David Lingfors, & Nicholas A. Engerer. (2017). A tuning routine to correct systematic influences in reference PV systems’ power outputs. Solar Energy. 157. 1082–1094. 13 indexed citations

18.

Smith, Chris, Jamie M. Bright, & R. Crook. (2017). Cloud cover effect of clear-sky index distributions and differences between human and automatic cloud observations. Solar Energy. 144. 10–21. 65 indexed citations

19.

Lingfors, David, Jamie M. Bright, Nicholas A. Engerer, et al.. (2017). Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis. Applied Energy. 205. 1216–1230. 62 indexed citations

20.

Engerer, Nicholas A., et al.. (2017). Himawari-8 Enabled Real-Time Distributed Pv Simulations for Distribution Networks. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 1405–1410. 20 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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