J. S. Boyle

1.7k total citations
9 papers, 850 citations indexed

About

J. S. Boyle is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, J. S. Boyle has authored 9 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 1 paper in Oceanography. Recurrent topics in J. S. Boyle's work include Climate variability and models (9 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). J. S. Boyle is often cited by papers focused on Climate variability and models (9 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). J. S. Boyle collaborates with scholars based in United States, United Kingdom and Japan. J. S. Boyle's co-authors include Karl E. Taylor, Gerald A. Meehl, Stephen A. Klein, T. M. L. Wigley, Benjamin D. Santer, Shaocheng Xie, Hsi‐Yen Ma, Charles Doutriaux, Michael Wehner and E. Roeckner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

J. S. Boyle

9 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. S. Boyle United States 9 753 698 106 53 39 9 850
Alison Stirling United Kingdom 13 605 0.8× 569 0.8× 53 0.5× 30 0.6× 33 0.8× 31 677
Tien Sribimawati Japan 13 717 1.0× 710 1.0× 268 2.5× 65 1.2× 13 0.3× 18 878
P. Rogel France 11 629 0.8× 509 0.7× 353 3.3× 21 0.4× 34 0.9× 18 735
Dong Guo China 18 880 1.2× 921 1.3× 191 1.8× 52 1.0× 21 0.5× 67 995
Beatriz M. Monge-Sanz United Kingdom 9 677 0.9× 612 0.9× 88 0.8× 18 0.3× 58 1.5× 21 825
Robert X. Black United States 21 1.3k 1.8× 1.3k 1.8× 247 2.3× 74 1.4× 25 0.6× 37 1.4k
A. Genovés Spain 12 719 1.0× 681 1.0× 95 0.9× 10 0.2× 35 0.9× 18 808
S. V. Kostrykin Russia 11 536 0.7× 483 0.7× 97 0.9× 27 0.5× 21 0.5× 35 621
Someshwar Das India 15 627 0.8× 649 0.9× 25 0.2× 65 1.2× 33 0.8× 46 734
Hideji Kida Japan 15 628 0.8× 640 0.9× 82 0.8× 68 1.3× 24 0.6× 30 794

Countries citing papers authored by J. S. Boyle

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Boyle. 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 J. S. Boyle. The network helps show where J. S. Boyle may publish in the future.

Co-authorship network of co-authors of J. S. Boyle

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

All Works

9 of 9 papers shown
1.
Boyle, J. S., Stephen A. Klein, D. D. Lucas, et al.. (2015). The parametric sensitivity of CAM5's MJO. Journal of Geophysical Research Atmospheres. 120(4). 1424–1444. 55 indexed citations
2.
Ma, Hsi‐Yen, Shaocheng Xie, Stephen A. Klein, et al.. (2013). On the Correspondence between Mean Forecast Errors and Climate Errors in CMIP5 Models. Journal of Climate. 27(4). 1781–1798. 105 indexed citations
3.
Ma, Hsi‐Yen, Shaocheng Xie, J. S. Boyle, Stephen A. Klein, & Yunyan Zhang. (2012). Metrics and Diagnostics for Precipitation-Related Processes in Climate Model Short-Range Hindcasts. Journal of Climate. 26(5). 1516–1534. 39 indexed citations
4.
Santer, Benjamin D., C. A. Mears, F. J. Wentz, et al.. (2007). Identification of human-induced changes in atmospheric moisture content. Proceedings of the National Academy of Sciences. 104(39). 15248–15253. 253 indexed citations
5.
Boyle, J. S., David Williamson, R.T. Cederwall, et al.. (2005). Diagnosis of Community Atmospheric Model 2 (CAM2) in numerical weather forecast configuration at Atmospheric Radiation Measurement sites. Journal of Geophysical Research Atmospheres. 110(D15). 41 indexed citations
6.
Santer, Benjamin D., T. M. L. Wigley, Gerald A. Meehl, et al.. (2003). Influence of Satellite Data Uncertainties on the Detection of Externally Forced Climate Change. Science. 300(5623). 1280–1284. 57 indexed citations
7.
Santer, Benjamin D., R. Sausen, T. M. L. Wigley, et al.. (2003). Behavior of tropopause height and atmospheric temperature in models, reanalyses, and observations: Decadal changes. Journal of Geophysical Research Atmospheres. 108(D1). 190 indexed citations
8.
Santer, Benjamin D., T. M. L. Wigley, Dian J. Gaffen, et al.. (2000). Interpreting Differential Temperature Trends at the Surface and in the Lower Troposphere. Science. 287(5456). 1227–1232. 78 indexed citations
9.
Zhang, Yunyan, Kenneth R. Sperber, J. S. Boyle, et al.. (1997). East Asian winter monsoon: results from eight AMIP models. Climate Dynamics. 13(11). 797–820. 32 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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