Ryan Elmore

33 papers receiving 487 citations

Peers

Ryan Elmore
Comparison fields: 5 of 103
  • Computational Mathematics 6
  • Statistics and Probability 78
  • Pollution 102
  • Environmental Engineering 75
  • Building and Construction 70
Replace Mohammad Faisal Khan with:
Mohammad Faisal Khan Saudi Arabia
T. J. Rao India
Marcelo C. Medeiros Brazil
Jan Palczewski United Kingdom
Hasbi Yasin Indonesia
Qinzi Xiao China
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Elmore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan Elmore Line = papers co-authored together Ryan Elmore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 201471
3 201760
4 200547
5 201443
6 202130
7 200521
8 201816
9 200416
10 202215
11
Hybrid Model-Based and Data-Driven Fault Detection and Diagnostics for Commercial Buildings: Preprint
201614
12 200613
13 201510
14 201710
15 20008
16 20218
17 19987
18 20176
19 20185
20 20205

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 37 papers that have together received 504 indexed citations. Recurring topics across this work include Sports Analytics and Performance (10 papers), Photovoltaic System Optimization Techniques (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Methods and Models (3 papers), Gambling Behavior and Treatments (3 papers), Solar Radiation and Photovoltaics (3 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Computational Mathematics (6 citations), Statistics and Probability (78 citations), Pollution (102 citations), Environmental Engineering (75 citations) and Building and Construction (70 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, Thomas P. Hettmansperger and Peter Hall. Their work appears in journals such as Environmental Research Letters, The Annals of Applied Statistics, Big Data, Building Services Engineering Research and Technology and Journal of the American Medical Informatics Association.

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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