B. Urquhart

11 papers receiving 1.0k citations

Hit Papers

Intra-hour forecasting with a total sky imager at the UC ...20112026201620212011100200300400

Peers

B. Urquhart
Comparison fields: 5 of 37
  • Artificial Intelligence 994
  • Renewable Energy, Sustainability and the Environment 683
  • Electrical and Electronic Engineering 393
  • Global and Planetary Change 180
  • Computer Vision and Pattern Recognition 127
Replace Ricardo Marquez with:
Ricardo Marquez United States
Janet E. Shields United States
Anthony Dominguez United States
Bijan Nouri Germany
M. S. Ghonima United States
Ben Kurtz United States
Annette Hammer Germany
Karl Hemker United States
Christoph Prahl Germany
Sergey Kivalov United States
B. Urquhart relative to Ricardo Marquez United States Ricardo Marquez's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by B. Urquhart

Since Specialization
Citations

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

Fields of papers citing papers by B. Urquhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Urquhart

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 13
2 14
3 70
4 24
5
Development of a short-term solar power forecasting capability using ground-based visible wavelength imagery
1
6 170
7 204
8 10
9 127
10
Towards Intra-Hour Solar Forecasting using Two Sky Imagers at a Large Solar Power Plant
13
11
Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbedbreakdown →
446

About B. Urquhart

B. Urquhart is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (11 papers), Photovoltaic System Optimization Techniques (7 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (683 citations), Artificial Intelligence (994 citations) and Global and Planetary Change (180 citations). B. Urquhart has collaborated with scholars based in United States. Frequent co-authors include Jan Kleissl, Chi‐Wai Chow, B. Washom, Janet E. Shields, Anthony Dominguez, Matthew Lave, M. S. Ghonima, Ben Kurtz, Hugo T.C. Pedro and Yinghao Chu. Their work appears in journals such as Solar Energy, Progress in Photovoltaics Research and Applications and Atmospheric measurement techniques.

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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