Andrew Colman

4.8k total citations · 2 hit papers
25 papers, 3.2k citations indexed

About

Andrew Colman is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Andrew Colman has authored 25 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 5 papers in Oceanography. Recurrent topics in Andrew Colman's work include Climate variability and models (22 papers), Meteorological Phenomena and Simulations (17 papers) and Tropical and Extratropical Cyclones Research (5 papers). Andrew Colman is often cited by papers focused on Climate variability and models (22 papers), Meteorological Phenomena and Simulations (17 papers) and Tropical and Extratropical Cyclones Research (5 papers). Andrew Colman collaborates with scholars based in United Kingdom, Australia and United States. Andrew Colman's co-authors include Chris K. Folland, Vikram M. Mehta, Scott B. Power, M. Neil Ward, S. Cusack, Doug Smith, James M. Murphy, Glen Harris, Charles Mutai and Adam A. Scaife and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Andrew Colman

25 papers receiving 3.1k citations

Hit Papers

Inter-decadal modulation of the impact of ENSO on Australia 1999 2026 2008 2017 1999 2007 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inter-decadal modulation of the impact of ENSO on Australia
    1999 1.2k citations Chris K. Folland, Andrew Colman et al. Climate Dynamics profile →
  2. Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model
    2007 598 citations Doug Smith, S. Cusack et al. Science profile →

Peers

Andrew Colman
Hiroaki Tatebe Japan
Monika Esch Germany
Vikram M. Mehta United States
Martin Dix Australia
Hiromasa Yoshimura Japan
Helene T. Banks United Kingdom
Xiao‐Wei Quan United States
Mats Bentsen Norway
Uwe Schulzweida Germany
Philip Pegion United States
Hiroaki Tatebe Japan
Andrew Colman
Citations per year, relative to Andrew Colman Andrew Colman (= 1×) peers Hiroaki Tatebe

Countries citing papers authored by Andrew Colman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Colman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Colman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Colman. A scholar is included among the top collaborators of Andrew Colman 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 Andrew Colman. Andrew Colman 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.
Dunstone, Nick, Doug Smith, Andrew Colman, et al.. (2024). Will 2024 be the first year that global temperature exceeds 1.5°C?. Atmospheric Science Letters. 25(9). 15 indexed citations
2.
Janes, Tamara, et al.. (2023). Diverse skill of seasonal dynamical models in forecasting South Asian monsoon precipitation and the influence of ENSO and IOD. Climate Dynamics. 61(7-8). 3857–3874. 11 indexed citations
3.
Colman, Andrew. (2021). Skilful long‐lead hybrid predictions of the East African short‐rains season. International Journal of Climatology. 42(7). 4097–4110. 1 indexed citations
4.
Mwangi, Emmah, Olivia Taylor, Martin C. Todd, et al.. (2021). Mainstreaming forecast based action into national disaster risk management systems: experience from drought risk management in Kenya. Climate and Development. 14(8). 741–756. 12 indexed citations
5.
Colman, Andrew, Richard Graham, & Michael K. Davey. (2019). Direct and indirect seasonal rainfall forecasts for East Africa using global dynamical models. International Journal of Climatology. 40(2). 1132–1148. 10 indexed citations
6.
7.
Folland, Chris K., Oliviér Boucher, Andrew Colman, & D. E. Parker. (2018). Causes of irregularities in trends of global mean surface temperature since the late 19th century. Science Advances. 4(6). eaao5297–eaao5297. 76 indexed citations
8.
Knight, Jeff, Martin B. Andrews, Doug Smith, et al.. (2014). Predictions of Climate Several Years Ahead Using an Improved Decadal Prediction System. Journal of Climate. 27(20). 7550–7567. 22 indexed citations
9.
Folland, C. K., Andrew Colman, John Kennedy, et al.. (2011). High Predictive Skill of Global Surface Temperature a Year Ahead. AGUFM. 2011. 1 indexed citations
10.
Colman, Andrew, et al.. (2011). The Potential for Seasonal Forecasting of Winter Wave Heights in the Northern North Sea. Weather and Forecasting. 26(6). 1067–1074. 9 indexed citations
11.
Arribas, Alberto, M. Glover, Anna Maidens, et al.. (2010). The GloSea4 Ensemble Prediction System for Seasonal Forecasting. Monthly Weather Review. 139(6). 1891–1910. 159 indexed citations
12.
Hemming, Deborah, Andrew Colman, Nigel B. Kaye, et al.. (2009). Framework for COPD forecasting in the UK using weather and climate change predictions. IOP Conference Series Earth and Environmental Science. 6(14). 142021–142021. 3 indexed citations
13.
Smith, Doug, S. Cusack, Andrew Colman, et al.. (2007). Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model. Science. 317(5839). 796–799. 598 indexed citations breakdown →
14.
Graham, Richard, Christopher Gordon, M. R. Huddleston, et al.. (2006). The 2005/06 winter in Europe and the United Kingdom:Part 1 –How the Met Office forecast was produced and communicated. Weather. 61(12). 327–336. 19 indexed citations
15.
Colman, Andrew & M. K. Davey. (2003). Statistical prediction of global sea‐surface temperature anomalies. International Journal of Climatology. 23(14). 1677–1697. 27 indexed citations
16.
Folland, Chris K., et al.. (2001). Predictability of Northeast Brazil Rainfall and Real-Time Forecast Skill, 1987–98. Journal of Climate. 14(9). 1937–1958. 128 indexed citations
17.
Colman, Andrew & Michael Davey. (1999). Prediction of summer temperature, rainfall and pressure in Europe from preceding winter North Atlantic Ocean temperature. International Journal of Climatology. 19(5). 513–536. 81 indexed citations
18.
Mutai, Charles, M. Neil Ward, & Andrew Colman. (1998). Towards the prediction of the East Africa short rains based on sea-surface temperature–atmosphere coupling. International Journal of Climatology. 18(9). 975–997. 173 indexed citations
19.
Colman, Andrew. (1997). Prediction of summer central England temperature from preceding North Atlantic winter sea surface temperature. International Journal of Climatology. 17(12). 1285–1300. 47 indexed citations
20.
Folland, Chris K., et al.. (1991). Prediction of seasonal rainfall in the sahel region using empirical and dynamical methods. Journal of Forecasting. 10(1-2). 21–56. 232 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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