Adam Loy

862 total citations
17 papers, 610 citations indexed

About

Adam Loy is a scholar working on Artificial Intelligence, Statistics and Probability and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Adam Loy has authored 17 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Adam Loy's work include Data Analysis with R (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Climate change impacts on agriculture (3 papers). Adam Loy is often cited by papers focused on Data Analysis with R (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Climate change impacts on agriculture (3 papers). Adam Loy collaborates with scholars based in United States, Australia and Russia. Adam Loy's co-authors include Heike Hofmann, J. Gordon Arbuckle, Lois Wright Morton, Jon Hobbs, John Tyndall, Linda S. Prokopy, Cody Knutson, Tonya Haigh, Amber Saylor Mase and Melissa Widhalm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Climatic Change and Journal of Environmental Quality.

In The Last Decade

Adam Loy

16 papers receiving 586 citations

Peers

Adam Loy

EEBS

SPS

GABS

MMPL

Roger Martin‐Clouaire France

Markus Gandorfer Germany

Uday Nidumolu Australia

Timothy Kelley United States

Hugh Kelley Ireland

Lorène Prost France

Maaz Gardezi United States

D.H. Walker Australia

Michael Creel Spain

Sylvie Lardon France

Roger Martin‐Clouaire France

Adam Loy

345 ×1.6

EEBS

46 ×0.3

SPS

272 ×2.4

GABS

103 ×1.0

MMPL

322 ×3.5

Citations per year, relative to Adam Loy Adam Loy (= 1×) peers Roger Martin‐Clouaire

Countries citing papers authored by Adam Loy

Since Specialization

Citations

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

Fields of papers citing papers by Adam Loy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Loy

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

All Works

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17 of 17 papers shown

Loy, Adam, et al.. (2023). Bootstrapping Clustered Data in R using lmeresampler. The R Journal. 14(4). 103–120. 8 indexed citations

Loy, Adam, et al.. (2023). Questions (and Answers) for Incorporating Nontraditional Grading in Your Statistics Courses. SHILAP Revista de lepidopterología. 32(3). 283–295.

Maurer, Karsten, Dave Osthus, & Adam Loy. (2019). A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi. Computational Statistics. 34(4). 1465–1487. 1 indexed citations

Loy, Adam, et al.. (2019). ggplot2 Compatible Quantile-Quantile Plots in R. The R Journal. 10(2). 248–248. 34 indexed citations

Loy, Adam, et al.. (2019). Supporting Data Science in the Statistics Curriculum. Journal of Statistics Education. 27(1). 2–11. 18 indexed citations

Loy, Adam, Heike Hofmann, & Dianne Cook. (2017). Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners. Journal of Computational and Graphical Statistics. 26(3). 478–492. 24 indexed citations

Church, Sarah P., Tonya Haigh, Melissa Widhalm, et al.. (2015). Farmer Perspectives on Agricultural Practices, Information, and Weather Variability in the Corn Belt: A Statistical Atlas, Volume 2. 17 indexed citations

Loy, Adam, et al.. (2015). Variations of Q–Q Plots: The Power of Our Eyes!. The American Statistician. 70(2). 202–214. 51 indexed citations

Morton, Lois Wright, Jonathan Hobbs, J. Gordon Arbuckle, & Adam Loy. (2015). Upper Midwest Climate Variations: Farmer Responses to Excess Water Risks. Journal of Environmental Quality. 44(3). 810–822. 58 indexed citations

10.

Loy, Adam & Heike Hofmann. (2014). HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models inR. Journal of Statistical Software. 56(5). 45 indexed citations

11.

Loy, Adam & Heike Hofmann. (2014). Are You Normal? The Problem of Confounded Residual Structures in Hierarchical Linear Models. Journal of Computational and Graphical Statistics. 24(4). 1191–1209. 8 indexed citations

12.

Arbuckle, J. Gordon, Jon Hobbs, Adam Loy, et al.. (2014). Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation. Journal of Soil and Water Conservation. 69(6). 505–516. 72 indexed citations

13.

Loy, Adam. (2013). Diagnostics for mixed/hierarchical linear models. Iowa State University Digital Repository (Iowa State University). 4 indexed citations

14.

Arbuckle, J. Gordon, Linda S. Prokopy, Tonya Haigh, et al.. (2013). Climate change beliefs, concerns, and attitudes toward adaptation and mitigation among farmers in the Midwestern United States. Climatic Change. 117(4). 943–950. 247 indexed citations

15.

Loy, Adam & Heike Hofmann. (2012). Diagnostic tools for hierarchical linear models. Wiley Interdisciplinary Reviews Computational Statistics. 5(1). 48–61. 21 indexed citations

16.

Hofmann, Heike, Dianne Cook, Barret Schloerke, et al.. (2011). Delayed, Canceled, on Time, Boarding… Flying in the USA. Journal of Computational and Graphical Statistics. 20(2). 287–290. 1 indexed citations

17.

Loy, Adam. (1990). Effects of data errors on flood estimates using two runoff routing models. UNSWorks (University of New South Wales, Sydney, Australia). 176. 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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