Ryan Boyles

728 total citations
34 papers, 491 citations indexed

About

Ryan Boyles is a scholar working on Atmospheric Science, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Ryan Boyles has authored 34 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 5 papers in Ecological Modeling. Recurrent topics in Ryan Boyles's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Precipitation Measurement and Analysis (5 papers). Ryan Boyles is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Precipitation Measurement and Analysis (5 papers). Ryan Boyles collaborates with scholars based in United States, India and Puerto Rico. Ryan Boyles's co-authors include Sethu Raman, Adrienne Wootten, Adam Terando, Jared H. Bowden, Vasubandhu Misra, Fredrick H. M. Semazzi, Brian J. Reich, Weinan Pan, Jeffrey G. White and Joshua L. Heitman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Conservation Biology.

In The Last Decade

Ryan Boyles

32 papers receiving 471 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 Boyles United States 13 313 215 68 67 59 34 491
Michael F. Squires United States 8 289 0.9× 194 0.9× 58 0.9× 28 0.4× 56 0.9× 12 464
Kajsa M. Parding Norway 14 380 1.2× 275 1.3× 43 0.6× 43 0.6× 93 1.6× 32 531
Johann Hiebl Austria 8 363 1.2× 373 1.7× 61 0.9× 42 0.6× 84 1.4× 15 593
Neil MacKellar South Africa 7 276 0.9× 154 0.7× 34 0.5× 66 1.0× 35 0.6× 7 416
Jennifer Kesteven Australia 3 292 0.9× 204 0.9× 80 1.2× 40 0.6× 83 1.4× 3 468
Yen Yi Loo New Zealand 4 233 0.7× 138 0.6× 38 0.6× 54 0.8× 66 1.1× 12 436
Chenwei Shen China 10 451 1.4× 328 1.5× 51 0.8× 101 1.5× 82 1.4× 12 609
Nadia Politi Greece 12 380 1.2× 199 0.9× 63 0.9× 49 0.7× 49 0.8× 24 501
Rita Durão Portugal 10 481 1.5× 224 1.0× 105 1.5× 47 0.7× 36 0.6× 16 669

Countries citing papers authored by Ryan Boyles

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Boyles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Boyles

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Boyles. A scholar is included among the top collaborators of Ryan Boyles 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 Boyles. Ryan Boyles 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.
Wilson, Tamara S., Ryan Boyles, Nicole M. DeCrappeo, et al.. (2024). U.S. Geological Survey climate science plan—Future research directions. U.S. Geological Survey circular. 1 indexed citations
2.
Boyles, Ryan, Brian W. Miller, Jeremy S. Littell, et al.. (2024). Approaches for using CMIP projections in climate model ensembles to address the ‘hot model’ problem. Antarctica A Keystone in a Changing World. 2 indexed citations
3.
McNeal, Karen S., et al.. (2023). User Engagement Testing with a Pilot Decision Support Tool Aimed to Support Species Managers. Weather Climate and Society. 15(2). 327–338.
4.
Subedi, Suresh C., Susan C. Walls, William J. Barichivich, et al.. (2022). Future changes in habitat availability for two specialist snake species in the imperiled rocklands of South Florida, USA. Conservation Science and Practice. 4(10). 9 indexed citations
5.
Noss, Reed F., Jennifer Cartwright, Daniel Adams, et al.. (2021). Science needs of southeastern grassland species of conservation concern: A framework for species status assessments. Antarctica A Keystone in a Changing World. 7 indexed citations
6.
Noss, Reed F., Jennifer Cartwright, Daniel Adams, et al.. (2021). Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide. Conservation Biology. 35(6). 1715–1724. 19 indexed citations
7.
Boyles, Ryan, et al.. (2020). Visually Communicating Future Climate in a Web Environment. Weather Climate and Society. 12(4). 877–896. 1 indexed citations
8.
Bhardwaj, Amit, Vasubandhu Misra, Akhilesh Mishra, et al.. (2018). Downscaling future climate change projections over Puerto Rico using a non-hydrostatic atmospheric model. Climatic Change. 147(1-2). 133–147. 26 indexed citations
9.
Wootten, Adrienne, Jared H. Bowden, Ryan Boyles, & Adam Terando. (2016). The Sensitivity of WRF Downscaled Precipitation in Puerto Rico to Cumulus Parameterization and Interior Grid Nudging. Journal of Applied Meteorology and Climatology. 55(10). 2263–2281. 27 indexed citations
10.
Mahmood, Rezaul, Ryan Boyles, Christopher A. Fiebrich, et al.. (2016). Mesonets: Mesoscale Weather and Climate Observations for the United States. Bulletin of the American Meteorological Society. 98(7). 1349–1361. 32 indexed citations
11.
Coble, Keith H., et al.. (2015). Accounting for Weather Probabilities in Crop Insurance Rating. SHILAP Revista de lepidopterología. 12 indexed citations
12.
Coble, Keith H., et al.. (2013). Estimating structural change in US crop insurance experience. Agricultural Finance Review. 73(1). 74–87. 6 indexed citations
13.
Coble, Keith H., et al.. (2013). Accounting for Weather Probabilities in Crop Insurance Rating. Journal of agricultural and resource economics. 40(2). 306–324. 7 indexed citations
14.
Pan, Weinan, Ryan Boyles, Jeffrey G. White, & Joshua L. Heitman. (2012). Characterizing Soil Physical Properties for Soil Moisture Monitoring with the North Carolina Environment and Climate Observing Network. Journal of Atmospheric and Oceanic Technology. 29(7). 933–943. 27 indexed citations
15.
Raman, Sethu, et al.. (2010). Characteristics of Landfalling Tropical Cyclones in North Carolina. Marine Geodesy. 33(4). 394–411. 3 indexed citations
16.
Carbone, Gregory J., et al.. (2008). DECISION SUPPORT: A Regional-Scale Drought Monitoring Tool for the Carolinas. Bulletin of the American Meteorological Society. 89(1). 20–28. 23 indexed citations
17.
Boyles, Ryan. (2007). Investigation of Mesoscale Precipitation Processes in the Carolinas Using a Radar-based Climatology. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
18.
Raman, Sethu, et al.. (2006). Simulation of Convective Initiation during IHOP_2002 Using the Flux-Adjusting Surface Data Assimilation System (FASDAS). Monthly Weather Review. 134(1). 134–148. 13 indexed citations
19.
Raman, Sethu, et al.. (2005). Numerical Simulation of Mesoscale Circulations in a Region of Contrasting Soil Types. Pure and Applied Geophysics. 162(8-9). 1689–1714. 8 indexed citations
20.
Boyles, Ryan & Sethu Raman. (2003). Analysis of climate trends in North Carolina (1949–1998). Environment International. 29(2-3). 263–275. 76 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026