J. Scott Hosking

5.1k total citations · 2 hit papers
67 papers, 3.3k citations indexed

About

J. Scott Hosking is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, J. Scott Hosking has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in J. Scott Hosking's work include Climate variability and models (34 papers), Cryospheric studies and observations (33 papers) and Arctic and Antarctic ice dynamics (24 papers). J. Scott Hosking is often cited by papers focused on Climate variability and models (34 papers), Cryospheric studies and observations (33 papers) and Arctic and Antarctic ice dynamics (24 papers). J. Scott Hosking collaborates with scholars based in United Kingdom, United States and Germany. J. Scott Hosking's co-authors include John Turner, Tony Phillips, Gareth J. Marshall, Thomas J. Bracegirdle, Andrew Orr, Pranab Deb, John King, Ian White, Hua Lu and Robert Mulvaney and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

J. Scott Hosking

64 papers receiving 3.3k citations

Hit Papers

Absence of 21st century w... 2016 2026 2019 2022 2016 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Scott Hosking United Kingdom 25 2.9k 1.8k 542 523 236 67 3.3k
John J. Cassano United States 38 3.9k 1.4× 2.9k 1.6× 447 0.8× 349 0.7× 114 0.5× 136 4.4k
Tamsin Edwards United Kingdom 24 1.8k 0.6× 692 0.4× 340 0.6× 197 0.4× 495 2.1× 49 2.3k
Nicolas J. Cullen New Zealand 26 1.9k 0.6× 1.1k 0.6× 125 0.2× 155 0.3× 205 0.9× 73 2.2k
Hartmut Hellmer Germany 38 4.0k 1.4× 1.1k 0.6× 1.2k 2.2× 466 0.9× 731 3.1× 100 4.5k
Xichen Li China 21 1.8k 0.6× 1.8k 1.0× 819 1.5× 136 0.3× 23 0.1× 98 2.3k
Mark Falvey Chile 17 1.0k 0.4× 842 0.5× 267 0.5× 130 0.2× 48 0.2× 31 1.6k
Shuting Yang Denmark 26 1.9k 0.7× 2.0k 1.1× 518 1.0× 96 0.2× 19 0.1× 79 2.6k
Chunqiao Song China 21 1.2k 0.4× 853 0.5× 231 0.4× 338 0.6× 106 0.4× 35 2.0k
Pierre Dutrieux United States 37 3.9k 1.4× 980 0.5× 1.1k 2.0× 492 0.9× 1.5k 6.2× 79 4.7k
Pierre Nabat France 29 1.7k 0.6× 1.8k 1.0× 515 1.0× 183 0.3× 16 0.1× 72 2.3k

Countries citing papers authored by J. Scott Hosking

Since Specialization
Citations

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

Fields of papers citing papers by J. Scott Hosking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Scott Hosking

This figure shows the co-authorship network connecting the top 25 collaborators of J. Scott Hosking. A scholar is included among the top collaborators of J. Scott Hosking 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. Scott Hosking. J. Scott Hosking 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.
Jay, Caroline, Ian Crawford, Scott Archer‐Nicholls, et al.. (2024). Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience. 17(2). 106–108. 8 indexed citations
2.
Orr, Andrew, et al.. (2024). Downscaling precipitation over High-mountain Asia using multi-fidelity Gaussian processes: improved estimates from ERA5. Hydrology and earth system sciences. 28(22). 4903–4925. 2 indexed citations
3.
Christensen, Hannah M., et al.. (2023). Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model. Geoscientific model development. 16(15). 4501–4519. 1 indexed citations
4.
Evans, Ben, Anita Faul, Andrew Fleming, David G. Vaughan, & J. Scott Hosking. (2023). Unsupervised machine learning detection of iceberg populations within sea ice from dual-polarisation SAR imagery. Remote Sensing of Environment. 297. 113780–113780. 12 indexed citations
5.
Hosking, J. Scott, et al.. (2022). Convolutional conditional neural processes for local climate downscaling. Geoscientific model development. 15(1). 251–268. 22 indexed citations
6.
Simpson, Charles, et al.. (2022). Localized impacts and economic implications from high temperature disruption days under climate change. SHILAP Revista de lepidopterología. 1(2). 2 indexed citations
7.
Stubbings, William A., Mohamed Abou‐Elwafa Abdallah, Isabelle Durance, et al.. (2021). The Time Machine framework: monitoring and prediction of biodiversity loss. Trends in Ecology & Evolution. 37(2). 138–146. 14 indexed citations
8.
Hosking, J. Scott, et al.. (2021). Convolutional conditional neural processes for local climatedownscaling. 1 indexed citations
9.
Andersson, Tom R., J. Scott Hosking, María Pérez‐Ortiz, et al.. (2021). Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications. 12(1). 5124–5124. 158 indexed citations breakdown →
10.
Bracegirdle, Thomas J., Caroline Holmes, J. Scott Hosking, et al.. (2020). Improvements in Circumpolar Southern Hemisphere Extratropical Atmospheric Circulation in CMIP6 Compared to CMIP5. Earth and Space Science. 7(6). 49 indexed citations
12.
Orr, Andrew, J. Scott Hosking, Lars Hoffmann, et al.. (2020). Polar stratospheric clouds initiated by mountain waves in a global chemistry–climate model: a missing piece in fully modelling polar stratospheric ozone depletion. Atmospheric chemistry and physics. 20(21). 12483–12497. 9 indexed citations
13.
Young, Paul J., J. Scott Hosking, Jean‐François Lamarque, et al.. (2020). Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence. Atmospheric chemistry and physics. 20(16). 9961–9977. 20 indexed citations
14.
Orr, Andrew, J. Scott Hosking, Lars Hoffmann, et al.. (2015). Inclusion of mountain-wave-induced cooling for the formation of PSCs over the Antarctic Peninsula in a chemistry–climate model. Atmospheric chemistry and physics. 15(2). 1071–1086. 24 indexed citations
15.
16.
Hosking, J. Scott, M. R. Russo, Peter Braesicke, & J. A. Pyle. (2012). Tropical convective transport and the Walker circulation. Atmospheric chemistry and physics. 12(20). 9791–9797. 16 indexed citations
17.
Barrand, Nicholas E., David G. Vaughan, N. Steiner, et al.. (2012). Trends in Antarctic Peninsula surface melting conditions from observations and regional climate modelling. AGUFM. 2012. 4 indexed citations
18.
Russo, M. R., Virginie Marécal, C. R. Hoyle, et al.. (2011). Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations. Atmospheric chemistry and physics. 11(6). 2765–2786. 24 indexed citations
19.
Hosking, J. Scott, M. R. Russo, Peter Braesicke, & J. A. Pyle. (2010). Modelling deep convection and its impacts on the tropical tropopause layer. Atmospheric chemistry and physics. 10(22). 11175–11188. 16 indexed citations
20.
Hong, S. J., et al.. (1996). Use of Randomization to Normalize Feature Merits. 2 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