Ryan Elmore
Impact in
- Pollution top 10%
- Energy and Environment Impacts
Papers in
-
- Bayesian Methods and Mixture Models 4
- Solar Radiation and Photovoltaics 3
-
- Sports Analytics and Performance 9
- Co-authors
- Robert Margolis (5 shared papers)Caleb Phillips (5 shared papers)Pieter Gagnon (4 shared papers)Jennifer Melius (3 shared papers)Amnon Neeman (2 shared papers)Carolyn Davidson (1 shared paper)Easan Drury (1 shared paper)Anthony Lopez (1 shared paper)
- Journals
- Environmental Research Letters (3 papers)Annales de l’institut Fourier (1 paper)Big Data (1 paper)Journal of Manufacturing Systems (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Ryan Elmore
31 papers receiving 436 citations
Peers
Comparison fields: 5 of 102
- Computational Mathematics 6
- Pollution 98
- Statistics and Probability 63
- Environmental Engineering 72
- Building and Construction 66
Countries citing papers authored by Ryan Elmore
This map shows the geographic impact of Ryan Elmore'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 Ryan Elmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Elmore more than expected).
Fields of papers citing papers by Ryan Elmore
This network shows the impact of papers produced by Ryan Elmore. 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 Ryan Elmore. The network helps show where Ryan Elmore may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Elmore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2014 | 69 | |
| 3 | 2017 | 57 | |
| 4 | 2005 | 45 | |
| 5 | 2014 | 34 | |
| 6 | 2021 | 28 | |
| 7 | 2005 | 19 | |
| 8 | 2018 | 16 | |
| 9 | 2004 | 15 | |
| 10 | Hybrid Model-Based and Data-Driven Fault Detection and Diagnostics for Commercial Buildings: Preprint | 2016 | 14 |
| 11 | 2022 | 13 | |
| 12 | 2000 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 1998 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2018 | 4 | |
| 20 | Rooftop Solar Photovoltaic Technical Potential in the United States | 2016 | 3 |
About Ryan Elmore
Ryan Elmore is a scholar working on Artificial Intelligence, Economics and Econometrics, Statistics and Probability, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 35 papers that have together received 453 indexed citations. Recurring topics across this work include Sports Analytics and Performance (9 papers), Photovoltaic System Optimization Techniques (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (4 papers), Solar Radiation and Photovoltaics (3 papers), Gambling Behavior and Treatments (3 papers), Industrial Vision Systems and Defect Detection (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Computational Mathematics (6 citations), Pollution (98 citations), Statistics and Probability (63 citations), Environmental Engineering (72 citations) and Building and Construction (66 citations). Ryan Elmore has collaborated with scholars based in United States and Australia. Frequent co-authors include Robert Margolis, Caleb Phillips, Pieter Gagnon, Jennifer Melius, Amnon Neeman, Carolyn Davidson, Easan Drury, Anthony Lopez, Peter Hall and Thomas P. Hettmansperger. Their work appears in journals such as Environmental Research Letters, Annales de l’institut Fourier, Big Data, Journal of Manufacturing Systems and The Annals of Applied Statistics.
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.