I. Simpson

1.7k total citations · 1 hit paper
9 papers, 956 citations indexed

About

I. Simpson is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, I. Simpson has authored 9 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 5 papers in Atmospheric Science and 1 paper in Nature and Landscape Conservation. Recurrent topics in I. Simpson's work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (4 papers) and Hydrology and Drought Analysis (3 papers). I. Simpson is often cited by papers focused on Climate variability and models (6 papers), Meteorological Phenomena and Simulations (4 papers) and Hydrology and Drought Analysis (3 papers). I. Simpson collaborates with scholars based in United Kingdom and Saudi Arabia. I. Simpson's co-authors include P. D. Jones, Timothy J. Osborn, Colin Morice, Jonathan Winn, Emily Hogan, John Kennedy, Rachel Killick, Nick A Rayner, Robert Dunn and Mark McCarthy and has published in prestigious journals such as International Journal of Climatology, ICES Journal of Marine Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

I. Simpson

9 papers receiving 936 citations

Hit Papers

An Updated Assessment of Near‐Surface Temperature Change ... 2020 2026 2022 2024 2020 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
I. Simpson United Kingdom 7 679 566 95 84 78 9 956
Stephen Outten Norway 14 729 1.1× 586 1.0× 96 1.0× 56 0.7× 91 1.2× 26 964
Jared Rennie United States 12 791 1.2× 654 1.2× 72 0.8× 96 1.1× 142 1.8× 22 1.1k
Karl Braganza Australia 16 883 1.3× 698 1.2× 130 1.4× 89 1.1× 107 1.4× 23 1.1k
Young‐Hwa Byun South Korea 16 829 1.2× 624 1.1× 124 1.3× 71 0.8× 95 1.2× 103 1.0k
Irina Mahlstein Switzerland 13 871 1.3× 691 1.2× 98 1.0× 63 0.8× 43 0.6× 18 1.0k
Megan C. Kirchmeier‐Young Canada 12 874 1.3× 568 1.0× 71 0.7× 54 0.6× 69 0.9× 25 1.1k
Fangying Wu China 13 727 1.1× 865 1.5× 61 0.6× 57 0.7× 88 1.1× 20 1.2k
Scott Applequist United States 9 542 0.8× 405 0.7× 51 0.5× 56 0.7× 116 1.5× 13 859
Mary‐Jane M. Bopape South Africa 13 574 0.8× 376 0.7× 76 0.8× 127 1.5× 71 0.9× 41 887
Nicholas J. Lutsko United States 17 645 0.9× 557 1.0× 117 1.2× 146 1.7× 120 1.5× 47 1.1k

Countries citing papers authored by I. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by I. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of I. Simpson. A scholar is included among the top collaborators of I. Simpson 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 I. Simpson. I. Simpson 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.
Osborn, Timothy J., P. D. Jones, David Lister, et al.. (2020). Land Surface Air Temperature Variations Across the Globe Updated to 2019: The CRUTEM5 Data Set. Journal of Geophysical Research Atmospheres. 126(2). 124 indexed citations
2.
Morice, Colin, John Kennedy, Nick A Rayner, et al.. (2020). An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set. Journal of Geophysical Research Atmospheres. 126(3). 533 indexed citations breakdown →
3.
Kravitz, Ben, Douglas G. MacMartin, Simone Tilmes, et al.. (2019). Comparing surface and stratospheric impacts of geoengineering with different SO 2 injection strategies. AGU Fall Meeting Abstracts. 2019. 4 indexed citations
4.
Hollis, Dan, Mark McCarthy, Michael Kendon, Tim Legg, & I. Simpson. (2019). HadUK‐Grid—A new UK dataset of gridded climate observations. Geoscience Data Journal. 6(2). 151–159. 200 indexed citations
5.
Simpson, I. & Mark McCarthy. (2018). Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets. International Journal of Climatology. 39(1). 128–142. 5 indexed citations
6.
Polvani, Lorenzo M., Amy Clement, Brian Medeiros, James J. Benedict, & I. Simpson. (2017). When Less Is More: Opening the Door to Simpler Climate Models. Eos. 16 indexed citations
7.
Simpson, I. & P. D. Jones. (2013). Analysis ofUKprecipitation extremes derived from Met Office gridded data. International Journal of Climatology. 34(7). 2438–2449. 32 indexed citations
8.
Simpson, I. & P. D. Jones. (2011). Updated precipitation series for the UK derived from Met Office gridded data. International Journal of Climatology. 32(15). 2271–2282. 20 indexed citations
9.
Thorley, Joe, et al.. (2005). Congruence between automatic fish counter data and rod catches of Atlantic salmon (Salmo salar) in Scottish rivers. ICES Journal of Marine Science. 62(4). 808–817. 22 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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