J. Boyle

1.3k total citations
8 papers, 984 citations indexed

About

J. Boyle is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, J. Boyle has authored 8 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 1 paper in Oceanography. Recurrent topics in J. Boyle's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric aerosols and clouds (3 papers). J. Boyle is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric aerosols and clouds (3 papers). J. Boyle collaborates with scholars based in United States, United Kingdom and Australia. J. Boyle's co-authors include Stephen A. Klein, Andrew Gettelman, Chris D. Thorncroft, Kevin I. Hodges, Brian J. Hoskins, Xiaohong Liu, J.‐L. F. Li, Andrew Conley, S. J. Ghan and Hugh Morrison and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Monthly Weather Review.

In The Last Decade

J. Boyle

8 papers receiving 971 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. Boyle United States 8 938 913 88 18 14 8 984
J.‐L. F. Li United States 14 984 1.0× 984 1.1× 66 0.8× 29 1.6× 17 1.2× 22 1.1k
A. Genovés Spain 12 681 0.7× 719 0.8× 95 1.1× 30 1.7× 5 0.4× 18 808
Philippe Peyrillé France 12 500 0.5× 542 0.6× 107 1.2× 25 1.4× 12 0.9× 22 604
Bin Zheng China 11 500 0.5× 514 0.6× 241 2.7× 7 0.4× 16 1.1× 57 588
Charles J. Seman United States 14 893 1.0× 859 0.9× 32 0.4× 33 1.8× 39 2.8× 21 956
Shenming Fu China 19 961 1.0× 932 1.0× 63 0.7× 7 0.4× 9 0.6× 84 1.1k
Kazuaki Yasunaga Japan 17 609 0.6× 623 0.7× 209 2.4× 6 0.3× 7 0.5× 43 709
George Tai‐Jen Chen Taiwan 10 559 0.6× 524 0.6× 50 0.6× 23 1.3× 12 0.9× 15 604
Yanni Ding United States 6 627 0.7× 644 0.7× 54 0.6× 53 2.9× 49 3.5× 6 690
Joan Campins Spain 13 603 0.6× 575 0.6× 121 1.4× 26 1.4× 2 0.1× 25 673

Countries citing papers authored by J. Boyle

Since Specialization
Citations

This map shows the geographic impact of J. 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. 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. Boyle more than expected).

Fields of papers citing papers by J. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

8 of 8 papers shown
1.
Lin, Yanluan, J. C. Petch, Peter Bechtold, et al.. (2012). TWP‐ICE global atmospheric model intercomparison: Convection responsiveness and resolution impact. Journal of Geophysical Research Atmospheres. 117(D9). 41 indexed citations
2.
Kay, Jennifer E., Benjamin Hillman, Stephen A. Klein, et al.. (2012). Exposing Global Cloud Biases in the Community Atmosphere Model (CAM) Using Satellite Observations and Their Corresponding Instrument Simulators. Journal of Climate. 25(15). 5190–5207. 234 indexed citations
3.
Gettelman, Andrew, Xiaohong Liu, S. J. Ghan, et al.. (2010). Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model. Journal of Geophysical Research Atmospheres. 115(D18). 378 indexed citations
4.
Zhang, Yunyan, Stephen A. Klein, J. Boyle, & Gerald G. Mace. (2010). Evaluation of tropical cloud and precipitation statistics of Community Atmosphere Model version 3 using CloudSat and CALIPSO data. Journal of Geophysical Research Atmospheres. 115(D12). 51 indexed citations
5.
Boyle, J., et al.. (2008). Climate Model Forecast Experiments for TOGA COARE. Monthly Weather Review. 136(3). 808–832. 34 indexed citations
6.
Williamson, David, J. Boyle, R.T. Cederwall, et al.. (2005). Moisture and temperature balances at the Atmospheric Radiation Measurement Southern Great Plains Site in forecasts with the Community Atmosphere Model (CAM2). Journal of Geophysical Research Atmospheres. 110(D15). 34 indexed citations
7.
Hodges, Kevin I., Brian J. Hoskins, J. Boyle, & Chris D. Thorncroft. (2003). A Comparison of Recent Reanalysis Datasets Using Objective Feature Tracking: Storm Tracks and Tropical Easterly Waves. Monthly Weather Review. 131(9). 2012–2037. 180 indexed citations
8.
Lambert, Stéphane, Jian Sheng, & J. Boyle. (2002). Winter cyclone frequencies in thirteen models participating in the Atmospheric Model Intercomparison Project (AMIP1). Climate Dynamics. 19(1). 1–16. 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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