Ryan Elmore

991 total citations
35 papers, 453 citations indexed

About

Ryan Elmore is a scholar working on Artificial Intelligence, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Ryan Elmore has authored 35 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Economics and Econometrics and 8 papers in Statistics and Probability. Recurrent topics in Ryan Elmore's work include Sports Analytics and Performance (9 papers), Photovoltaic System Optimization Techniques (5 papers) and Bayesian Methods and Mixture Models (4 papers). Ryan Elmore is often cited by papers focused on Sports Analytics and Performance (9 papers), Photovoltaic System Optimization Techniques (5 papers) and Bayesian Methods and Mixture Models (4 papers). Ryan Elmore collaborates with scholars based in United States and Australia. Ryan Elmore's co-authors include Robert Margolis, Caleb Phillips, Pieter Gagnon, Jennifer Melius, Amnon Neeman, Easan Drury, Carolyn Davidson, Anthony Lopez, Peter Hall and Thomas P. Hettmansperger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

In The Last Decade

Ryan Elmore

31 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Elmore United States 11 155 98 72 69 66 35 453
T. J. Rao India 11 57 0.4× 29 0.3× 13 0.2× 37 0.5× 30 0.5× 51 563
Şenol Erdoğmuş Türkiye 7 46 0.3× 39 0.4× 34 0.5× 25 0.4× 38 0.6× 10 477
Mohammad Faisal Khan Saudi Arabia 13 46 0.3× 24 0.2× 18 0.3× 68 1.0× 11 0.2× 52 443
Nikolaos S. Thomaidis Greece 9 33 0.2× 44 0.4× 30 0.4× 39 0.6× 34 0.5× 34 449
Hasbi Yasin Indonesia 14 138 0.9× 12 0.1× 60 0.8× 138 2.0× 11 0.2× 150 712
Eleftherios Siskos Greece 9 34 0.2× 13 0.1× 29 0.4× 43 0.6× 57 0.9× 15 380
Soma Dutta Poland 11 111 0.7× 162 1.7× 6 0.1× 24 0.3× 8 0.1× 33 440
Jan Stoklasa Czechia 11 60 0.4× 10 0.1× 13 0.2× 24 0.3× 26 0.4× 37 398
Jin Seo Cho South Korea 10 41 0.3× 52 0.5× 54 0.8× 439 6.4× 7 0.1× 34 638
Huihui Liu China 9 53 0.3× 12 0.1× 16 0.2× 55 0.8× 21 0.3× 20 350

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-authorship network of co-authors of Ryan Elmore

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

All Works

20 of 20 papers shown
1.
Williams, Benjamin & Ryan Elmore. (2021). Teaching Business Analytics during the COVID-19 Pandemic: A Tale of Two Courses. Communications of the Association for Information Systems. 48. 32–39. 7 indexed citations
2.
Elmore, Ryan & Andrew Urbaczewski. (2020). Loss Aversion in Professional Golf. Journal of Sports Economics. 22(2). 202–217. 5 indexed citations
3.
Elmore, Ryan & Andrew Urbaczewski. (2019). Loss Aversion in Professional Golf. SSRN Electronic Journal.
4.
Urbaczewski, Andrew & Ryan Elmore. (2018). Big Data, Efficient Markets, and the End of Daily Fantasy Sports As We Know It?. Big Data. 6(4). 239–247. 2 indexed citations
5.
Elmore, Ryan & Andrew Urbaczewski. (2018). Hot and cold hands on the PGA Tour: Do they exist?. SHILAP Revista de lepidopterología. 4(4). 275–284. 4 indexed citations
6.
Phillips, Caleb, et al.. (2018). A data mining approach to estimating rooftop photovoltaic potential in the US. Journal of Applied Statistics. 46(3). 385–394. 16 indexed citations
7.
Phillips, Caleb, et al.. (2017). Prediction and characterization of application power use in a high‐performance computing environment. Statistical Analysis and Data Mining The ASA Data Science Journal. 10(3). 155–165. 7 indexed citations
8.
Frank, Stephen, Xin Jin, Joseph Robertson, et al.. (2016). Hybrid Model-Based and Data-Driven Fault Detection and Diagnostics for Commercial Buildings: Preprint. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14 indexed citations
9.
Gagnon, Pieter, Robert Margolis, Jennifer Melius, Caleb Phillips, & Ryan Elmore. (2016). Rooftop Solar Photovoltaic Technical Potential in the United States. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
10.
Buck, Michael D., Jeffrey S. Brown, Mark N. Hadley, et al.. (2014). Query Health: standards-based, cross-platform population health surveillance. Journal of the American Medical Informatics Association. 21(4). 650–656. 34 indexed citations
11.
Davidson, Carolyn, Easan Drury, Anthony Lopez, Ryan Elmore, & Robert Margolis. (2014). Modeling photovoltaic diffusion: an analysis of geospatial datasets. Environmental Research Letters. 9(7). 74009–74009. 69 indexed citations
12.
13.
Lee, James, et al.. (2010). Step-Stress Accelerated Degradation Testing (SSADT) for Photovoltaic (PV) Devices and Cells (Presentation). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
14.
Elmore, Ryan, et al.. (2010). Step-Stress Accelerated Degradation Testing (SSADT) for Photovoltaic (PV) Devices and Cells. University of North Texas Digital Library (University of North Texas). 1 indexed citations
15.
Elmore, Ryan, Thomas P. Hettmansperger, & Xuan Fan. (2006). A FULLY NONPARAMETRIC TEST FOR ONE‐WAY LAYOUTS. Australian & New Zealand Journal of Statistics. 48(4). 477–490. 3 indexed citations
16.
Elmore, Ryan, et al.. (2006). Nonparametric Density Estimation From Covariate Information. Journal of the American Statistical Association. 101(474). 701–711. 3 indexed citations
17.
Elmore, Ryan, Peter J. Hall, & Amnon Neeman. (2005). An application of classical invariant theory to identifiability in nonparametric mixtures. Annales de l’institut Fourier. 55(1). 1–28. 19 indexed citations
18.
Hall, Peter, et al.. (2005). Nonparametric inference in multivariate mixtures. Biometrika. 92(3). 667–678. 45 indexed citations
19.
Elmore, Ryan, Thomas P. Hettmansperger, & Hoben Thomas. (2004). Estimating Component Cumulative Distribution Functions in Finite Mixture Models. Communication in Statistics- Theory and Methods. 33(9). 2075–2086. 15 indexed citations
20.
Elmore, Ryan, Thomas P. Hettmansperger, & Xuan Fan. (2004). The Sign Statistic, One-Way Layouts and Mixture Models. Statistical Science. 19(4). 1 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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