Dan Riley

About

Dan Riley is a scholar working on Artificial Intelligence, Education and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Dan Riley has authored 13 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Education and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Dan Riley’s work include Photovoltaic System Optimization Techniques (3 papers), Solar Thermal and Photovoltaic Systems (2 papers) and solar cell performance optimization (2 papers). Dan Riley is often cited by papers focused on Photovoltaic System Optimization Techniques (3 papers), Solar Thermal and Photovoltaic Systems (2 papers) and solar cell performance optimization (2 papers). Dan Riley collaborates with scholars based in United States and Australia. Dan Riley's co-authors include Larry Smith, John Edwards, Bill Mulford, Bruce H. King, Joshua S. Stein, G. B. Cerati, K. Mcdermott, P. Elmer, John R. Gabriel and Clifford Hansen and has published in prestigious journals such as Journal of Educational Administration, The Physician and Sportsmedicine and School Leadership and Management.

In The Last Decade

Co-authorship network of co-authors of Dan Riley i

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Fields of papers citing papers by Dan Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Riley

Since Specialization

Citations

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

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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