Jonathan M. Wilkinson

3.6k total citations
41 papers, 1.3k citations indexed

About

Jonathan M. Wilkinson is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Jonathan M. Wilkinson has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 7 papers in Astronomy and Astrophysics. Recurrent topics in Jonathan M. Wilkinson's work include Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Climate variability and models (13 papers). Jonathan M. Wilkinson is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Climate variability and models (13 papers). Jonathan M. Wilkinson collaborates with scholars based in United Kingdom, United States and Sweden. Jonathan M. Wilkinson's co-authors include Paul R. Field, Adrian Hill, Ben Shipway, Elizabeth Kendon, Malcolm Roberts, Kalli Furtado, Annette Miltenberger, Hayley J. Fowler, Nikolina Ban and Giorgia Fosser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Jonathan M. Wilkinson

40 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Wilkinson United Kingdom 17 1.1k 1.1k 76 68 64 41 1.3k
F. C. Seidel United States 19 780 0.7× 996 0.9× 25 0.3× 169 2.5× 17 0.3× 43 1.4k
Andrèa I. Flossmann France 23 1.3k 1.2× 1.4k 1.3× 307 4.0× 155 2.3× 42 0.7× 64 1.7k
C. Andronache United States 15 831 0.8× 898 0.9× 78 1.0× 81 1.2× 29 0.5× 40 1.1k
Sergey Osipov Saudi Arabia 16 674 0.6× 701 0.7× 95 1.3× 58 0.9× 11 0.2× 37 925
Robert H. Johns United States 13 1.0k 0.9× 1.1k 1.0× 40 0.5× 184 2.7× 65 1.0× 34 1.3k
Patrick T. Brown United States 11 417 0.4× 267 0.3× 12 0.2× 52 0.8× 28 0.4× 23 672
Katja Friedrich United States 22 979 0.9× 1.2k 1.1× 133 1.8× 252 3.7× 39 0.6× 78 1.5k
Xueliang Guo China 16 774 0.7× 829 0.8× 54 0.7× 197 2.9× 22 0.3× 69 1.0k
Maria Z. Hakuba United States 19 928 0.8× 716 0.7× 8 0.1× 54 0.8× 44 0.7× 33 1.1k

Countries citing papers authored by Jonathan M. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Wilkinson. 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 Jonathan M. Wilkinson. The network helps show where Jonathan M. Wilkinson may publish in the future.

Co-authorship network of co-authors of Jonathan M. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Wilkinson. A scholar is included among the top collaborators of Jonathan M. Wilkinson 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 Jonathan M. Wilkinson. Jonathan M. Wilkinson 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.
Neal, Robert A., et al.. (2024). Identification of weather patterns and transitions likely to cause power outages in the United Kingdom. Communications Earth & Environment. 5(1). 10 indexed citations
2.
Luhar, Ashok K., Anthony C. Jones, & Jonathan M. Wilkinson. (2024). Quantifying the impact of global nitrate aerosol on tropospheric composition fields and its production from lightning NO x . Atmospheric chemistry and physics. 24(24). 14005–14028.
3.
Gordon, Hamish, K. S. Carslaw, Adrian Hill, et al.. (2023). NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data. Journal of Advances in Modeling Earth Systems. 15(11). 3 indexed citations
4.
Field, Paul R., Adrian Hill, Kalli Furtado, et al.. (2023). Implementation of a double moment cloud microphysics scheme in the UK met office regional numerical weather prediction model. Quarterly Journal of the Royal Meteorological Society. 149(752). 703–739. 39 indexed citations
5.
Taylor, Phil, et al.. (2023). Probabilistic impact assessment of lightning strikes on power systems incorporating lightning protection design and asset condition. International Journal of Electrical Power & Energy Systems. 148. 108974–108974. 11 indexed citations
6.
Miltenberger, Annette, Jonathan M. Wilkinson, Adrian Hill, et al.. (2021). The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems. Atmospheric chemistry and physics. 21(7). 5439–5461. 33 indexed citations
7.
Miltenberger, Annette, Jill S. Johnson, Jonathan M. Wilkinson, et al.. (2021). Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus. Atmospheric chemistry and physics. 21(23). 17315–17343. 9 indexed citations
8.
Gordon, Hamish, Paul R. Field, Steven J. Abel, et al.. (2020). Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements. Atmospheric chemistry and physics. 20(18). 10997–11024. 14 indexed citations
9.
Miltenberger, Annette, Jonathan M. Wilkinson, Adrian Hill, et al.. (2020). The nature of ice-nucleating particles affects the radiative properties of tropical convective cloud systems. 4 indexed citations
10.
McCoy, Daniel T., Paul R. Field, Gregory S. Elsaesser, et al.. (2019). Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations. Atmospheric chemistry and physics. 19(2). 1147–1172. 20 indexed citations
11.
Stevens, Robin, C. Dearden, Anna Possner, et al.. (2018). A model intercomparison of CCN-limited tenuous clouds in the high Arctic. Atmospheric chemistry and physics. 18(15). 11041–11071. 63 indexed citations
12.
Vergara‐Temprado, Jesús, Annette Miltenberger, Kalli Furtado, et al.. (2018). Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles. Proceedings of the National Academy of Sciences. 115(11). 2687–2692. 180 indexed citations
13.
Furtado, Kalli, Paul R. Field, Yali Luo, et al.. (2018). Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China. Journal of Geophysical Research Atmospheres. 123(18). 26 indexed citations
14.
McCoy, Daniel T., Paul R. Field, Anja Schmidt, et al.. (2018). Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations. Atmospheric chemistry and physics. 18(8). 5821–5846. 36 indexed citations
15.
Miltenberger, Annette, Paul R. Field, Adrian Hill, Ben Shipway, & Jonathan M. Wilkinson. (2018). Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble. Atmospheric chemistry and physics. 18(14). 10593–10613. 16 indexed citations
16.
Miltenberger, Annette, Paul R. Field, Adrian Hill, et al.. (2018). Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations. Atmospheric chemistry and physics. 18(5). 3119–3145. 58 indexed citations
17.
Field, Paul R., Malcolm Roberts, & Jonathan M. Wilkinson. (2018). Simulated Lightning in a Convection Permitting Global Model. Journal of Geophysical Research Atmospheres. 123(17). 9370–9377. 13 indexed citations
18.
Stratton, R. A., C. A. Senior, Simon Vosper, et al.. (2018). A Pan-African Convection-Permitting Regional Climate Simulation with the Met Office Unified Model: CP4-Africa. Journal of Climate. 31(9). 3485–3508. 114 indexed citations
19.
McCoy, Daniel T., Paul R. Field, Anja Schmidt, et al.. (2017). The aerosol-cyclone indirect effect in observations and high-resolution simulations. 2 indexed citations
20.
Wilkinson, Jonathan M.. (2010). Does the introduction of a simple cloud-aerosol interaction improve the representation of drizzle in the operational Met Office Unified Model?. 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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