Julia Slingo

17.3k total citations · 3 hit papers
136 papers, 12.6k citations indexed

About

Julia Slingo is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Julia Slingo has authored 136 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Global and Planetary Change, 100 papers in Atmospheric Science and 43 papers in Oceanography. Recurrent topics in Julia Slingo's work include Climate variability and models (115 papers), Meteorological Phenomena and Simulations (66 papers) and Tropical and Extratropical Cyclones Research (43 papers). Julia Slingo is often cited by papers focused on Climate variability and models (115 papers), Meteorological Phenomena and Simulations (66 papers) and Tropical and Extratropical Cyclones Research (43 papers). Julia Slingo collaborates with scholars based in United Kingdom, United States and France. Julia Slingo's co-authors include Gui‐Ying Yang, Brian J. Hoskins, H. Annamalai, Kenneth R. Sperber, Peter Inness, Steven J. Woolnough, Andrew J. Challinor, Richard Neale, Jianhua Ju and Tim Wheeler and has published in prestigious journals such as Nature, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Julia Slingo

135 papers receiving 12.1k citations

Hit Papers

The Diurnal Cycle in the Tropics 1987 2026 2000 2013 2001 1987 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Slingo United Kingdom 62 10.9k 9.5k 4.0k 1.0k 763 136 12.6k
G. J. Boer Canada 50 10.2k 0.9× 8.2k 0.9× 2.4k 0.6× 482 0.5× 387 0.5× 131 12.3k
Michel Déqué France 54 8.6k 0.8× 7.3k 0.8× 1.8k 0.4× 681 0.7× 560 0.7× 154 11.2k
Arun Kumar United States 64 11.4k 1.1× 10.0k 1.0× 4.2k 1.1× 508 0.5× 385 0.5× 276 13.9k
Martin P. Hoerling United States 63 12.0k 1.1× 9.4k 1.0× 3.2k 0.8× 843 0.8× 232 0.3× 152 13.7k
E. Roeckner Germany 65 15.3k 1.4× 14.4k 1.5× 4.0k 1.0× 538 0.5× 286 0.4× 145 18.4k
Adam H. Sobel United States 68 14.0k 1.3× 13.5k 1.4× 5.5k 1.4× 594 0.6× 155 0.2× 226 16.0k
David P. Rowell United Kingdom 41 14.3k 1.3× 12.0k 1.3× 5.7k 1.4× 864 0.8× 217 0.3× 71 16.0k
James J. O’Brien United States 57 5.6k 0.5× 4.9k 0.5× 5.9k 1.5× 649 0.6× 263 0.3× 230 9.9k
Jing‐Jia Luo China 50 8.8k 0.8× 7.2k 0.8× 5.2k 1.3× 557 0.5× 250 0.3× 250 10.6k
Chris K. Folland United Kingdom 55 14.0k 1.3× 12.0k 1.3× 5.3k 1.3× 669 0.7× 179 0.2× 104 16.1k

Countries citing papers authored by Julia Slingo

Since Specialization
Citations

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

Fields of papers citing papers by Julia Slingo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Slingo

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Slingo. A scholar is included among the top collaborators of Julia Slingo 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 Julia Slingo. Julia Slingo 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.
Thompson, Vikki, Dann Mitchell, Gabriele C. Hegerl, et al.. (2023). The most at-risk regions in the world for high-impact heatwaves. Nature Communications. 14(1). 2152–2152. 100 indexed citations breakdown →
2.
Sillmann, Jana, Theodore G. Shepherd, Bart van den Hurk, et al.. (2020). Event‐Based Storylines to Address Climate Risk. Earth s Future. 9(2). 107 indexed citations
3.
Thompson, Vikki, Nick Dunstone, Adam A. Scaife, et al.. (2017). High risk of unprecedented UK rainfall in the current climate. Nature Communications. 8(1). 107–107. 164 indexed citations
4.
Shaffrey, Len, et al.. (2010). Examination of Arabian Sea SST biases in the HiGEM high resolution coupled climate model and the CMIP3 multi-model dataset. EGUGA. 7271. 1 indexed citations
5.
Shukla, J., T. N. Palmer, Renate Hagedorn, et al.. (2010). Toward a New Generation of World Climate Research and Computing Facilities. Bulletin of the American Meteorological Society. 91(10). 1407–1412. 55 indexed citations
6.
Yang, Gui‐Ying, Brian J. Hoskins, & Julia Slingo. (2010). Equatorial Waves in Opposite QBO Phases. Journal of the Atmospheric Sciences. 68(4). 839–862. 33 indexed citations
7.
Turner, Andrew G. & Julia Slingo. (2009). Uncertainties in future projections of extreme precipitation in the Indian monsoon region. Atmospheric Science Letters. 10(3). 152–158. 64 indexed citations
8.
Shukla, J., Renate Hagedorn, M. Miller, et al.. (2008). Strategies: Revolution in Climate Prediction is Both Necessary and Possible: A Declaration at the World Modelling Summit for Climate Prediction. Bulletin of the American Meteorological Society. 90(2). 175–178. 103 indexed citations
9.
Mitchell, J. F. B., Julia Slingo, David S. Lee, Jason Lowe, & V. D. Pope. (2007). Response to Carter et al. World Economy. 8(1). 221–228. 3 indexed citations
10.
Slingo, Julia, Tim Wheeler, Andrew J. Challinor, & Brian J. Hoskins. (2005). Food Crops in a changing climate: report of a Royal Society Discussion meeting held in April 2005. 6 indexed citations
11.
Challinor, Andrew J., et al.. (2005). Forecasting the harvest - from proverbs to PCs. 1 indexed citations
12.
Woolnough, Steven J., Julia Slingo, & Brian J. Hoskins. (2004). The Diurnal Cycle of Convection and Atmospheric Tides in an Aquaplanet GCM. Journal of the Atmospheric Sciences. 61(21). 2559–2573. 31 indexed citations
13.
Slingo, Julia, Peter Inness, Richard Neale, Steven J. Woolnough, & Gui‐Ying Yang. (2003). Scale interactions on diurnal toseasonal timescales and their relevanceto model systematic errors. Annals of Geophysics. 46(1). 80 indexed citations
14.
Slingo, Julia, et al.. (2001). Seasonal predictability of the Indian Summer Monsoon : What role do land surface conditions play?. MAUSAM. 52(1). 175–190. 19 indexed citations
15.
Sperber, Kenneth R., Julia Slingo, & H. Annamalai. (2000). Predictability and the relationship between subseasonal and interannual variability during the Asian summer monsoon. Quarterly Journal of the Royal Meteorological Society. 126(568). 2545–2574. 171 indexed citations
16.
Slingo, Julia & H. Annamalai. (2000). 1997: The El Niño of the Century and the Response of the Indian Summer Monsoon. Monthly Weather Review. 128(6). 1778–1797. 163 indexed citations
17.
Slingo, Julia. (1997). When the rains come. Nature. 389(6648). 250–250. 1 indexed citations
18.
Slingo, Julia, M. Blackburn, Alan K. Betts, et al.. (1994). Mean climate and transience in the tropics of the UGAMP GCM: Sensitivity to convective parametrization. Quarterly Journal of the Royal Meteorological Society. 120(518). 881–922. 101 indexed citations
19.
Slingo, Julia & Roland A. Madden. (1991). Characteristics of the tropical intraseasonal oscillation in the NCAR community climate model. Quarterly Journal of the Royal Meteorological Society. 117(502). 1129–1169. 31 indexed citations
20.
Slingo, Julia. (1982). A study of the earth's radiation budget using a general circulation model. Quarterly Journal of the Royal Meteorological Society. 108(456). 379–405. 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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