Duncan Ackerley

1.6k total citations
38 papers, 944 citations indexed

About

Duncan Ackerley is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Duncan Ackerley has authored 38 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Duncan Ackerley's work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (21 papers) and Tropical and Extratropical Cyclones Research (12 papers). Duncan Ackerley is often cited by papers focused on Climate variability and models (29 papers), Meteorological Phenomena and Simulations (21 papers) and Tropical and Extratropical Cyclones Research (12 papers). Duncan Ackerley collaborates with scholars based in United Kingdom, Australia and New Zealand. Duncan Ackerley's co-authors include Jennifer L. Catto, Kevin I. Hodges, Matthew D. K. Priestley, Dietmar Dommenget, Michael J. Reeder, E. J. Highwood, David J. Frame, Robert W. Lee, Ruth E. McDonald and Robin Chadwick and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Bulletin of the American Meteorological Society.

In The Last Decade

Duncan Ackerley

37 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan Ackerley United Kingdom 14 782 771 135 49 47 38 944
Jian Cao China 17 808 1.0× 762 1.0× 307 2.3× 34 0.7× 68 1.4× 66 983
Wenmin Man China 18 780 1.0× 748 1.0× 81 0.6× 28 0.6× 43 0.9× 40 939
Gabriel Silvestri Argentina 13 709 0.9× 767 1.0× 187 1.4× 41 0.8× 93 2.0× 25 969
C. Zhang United States 7 1.0k 1.3× 1.1k 1.4× 272 2.0× 65 1.3× 104 2.2× 7 1.3k
Karoline Block Germany 7 1.1k 1.4× 1.1k 1.4× 204 1.5× 30 0.6× 42 0.9× 10 1.3k
Chi‐Hua Wu Taiwan 15 648 0.8× 481 0.6× 120 0.9× 90 1.8× 100 2.1× 37 716
Oliver Bothe Germany 18 865 1.1× 1.0k 1.3× 169 1.3× 24 0.5× 41 0.9× 36 1.2k
Nicholas Siler United States 15 743 1.0× 716 0.9× 113 0.8× 33 0.7× 65 1.4× 29 948
Neil D. Gordon United States 12 960 1.2× 968 1.3× 351 2.6× 46 0.9× 56 1.2× 21 1.2k
Douglas Klotter United States 14 735 0.9× 874 1.1× 127 0.9× 22 0.4× 59 1.3× 18 1.1k

Countries citing papers authored by Duncan Ackerley

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Ackerley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan Ackerley

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Ackerley. A scholar is included among the top collaborators of Duncan Ackerley 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 Duncan Ackerley. Duncan Ackerley 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.
Volonté, Ambrogio, Suzanne L. Gray, Peter Clark, Oscar Martínez‐Alvarado, & Duncan Ackerley. (2023). Strong surface winds in Storm Eunice. Part 1: storm overview and indications of sting jet activity from observations and model data. Weather. 79(2). 40–45. 12 indexed citations
2.
Volonté, Ambrogio, Suzanne L. Gray, Peter Clark, Oscar Martínez‐Alvarado, & Duncan Ackerley. (2023). Strong surface winds in Storm Eunice. Part 2: airstream analysis. Weather. 79(2). 54–59. 9 indexed citations
3.
Tomassini, Lorenzo, Martin Willett, Alistair Sellar, et al.. (2023). Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model. Journal of Advances in Modeling Earth Systems. 15(5). 12 indexed citations
4.
Martínez‐Alvarado, Oscar, et al.. (2023). Transient anticyclonic eddies and their relationship to atmospheric block persistence. Weather and Climate Dynamics. 4(3). 683–700. 2 indexed citations
5.
Priestley, Matthew D. K., Duncan Ackerley, Jennifer L. Catto, & Kevin I. Hodges. (2022). Drivers of Biases in the CMIP6 Extratropical Storm Tracks. Part II: Southern Hemisphere. Journal of Climate. 36(5). 1469–1486. 5 indexed citations
6.
Priestley, Matthew D. K., Duncan Ackerley, Jennifer L. Catto, & Kevin I. Hodges. (2022). Drivers of Biases in the CMIP6 Extratropical Storm Tracks. Part I: Northern Hemisphere. Journal of Climate. 36(5). 1451–1467. 17 indexed citations
7.
Andrews, Timothy, Chris Smith, Gunnar Myhre, et al.. (2021). Effective Radiative Forcing in a GCM With Fixed Surface Temperatures. Journal of Geophysical Research Atmospheres. 126(4). 25 indexed citations
8.
Gray, Suzanne L., Oscar Martínez‐Alvarado, Duncan Ackerley, & Dan Suri. (2020). Development of a prototype real‐time sting‐jet precursor tool for forecasters. Weather. 76(11). 369–373. 8 indexed citations
9.
Ackerley, Duncan, et al.. (2018). An ensemble of AMIP simulations with prescribed land surface temperatures. Geoscientific model development. 11(9). 3865–3881. 13 indexed citations
10.
Ackerley, Duncan, Jessica Reeves, Cameron Barr, et al.. (2017). Evaluation of PMIP2 and PMIP3 simulations of mid-Holocene climate in the Indo-Pacific, Australasian and Southern Ocean regions. Climate of the past. 13(11). 1661–1684. 2 indexed citations
11.
Ackerley, Duncan & Dietmar Dommenget. (2016). Atmosphere-only GCM simulations with prescribed land surface temperatures. 1 indexed citations
12.
Ackerley, Duncan & Dietmar Dommenget. (2016). Atmosphere-only GCM (ACCESS1.0) simulations with prescribed land surface temperatures. Geoscientific model development. 9(6). 2077–2098. 24 indexed citations
13.
Ackerley, Duncan, et al.. (2015). Representing the Australian Heat Low in a GCM Using Different Surface and Cloud Schemes. Advances in Meteorology. 2016. 1–16.
14.
Ackerley, Duncan, Robert G. Bell, A. Brett Mullan, & Hilary McMillan. (2013). Estimation of regional departures from global-average sea-level rise around New Zealand from AOGCM simulations. 33. 2–22. 1 indexed citations
16.
Ackerley, Duncan, et al.. (2012). Regional climate modelling in New Zealand: comparison to gridded and satellite observations. 32(1). 3–22. 5 indexed citations
17.
Ackerley, Duncan, Andrew Lorrey, James Renwick, et al.. (2011). Using synoptic type analysis to understand New Zealand climate during the Mid-Holocene. Climate of the past. 7(4). 1189–1207. 24 indexed citations
18.
Lorrey, Andrew M., Marcus J. Vandergoes, Peter C. Almond, et al.. (2011). Palaeocirculation across New Zealand during the last glacial maximum at ∼21 ka. Quaternary Science Reviews. 36. 189–213. 54 indexed citations
19.
Ackerley, Duncan & James Renwick. (2010). The Southern Hemisphere semiannual oscillation and circulation variability during the Mid-Holocene. Climate of the past. 6(4). 415–430. 8 indexed citations
20.
Ackerley, Duncan, E. J. Highwood, Mark A. Harrison, et al.. (2009). The development of a new dust uplift scheme in the Met Office Unified Model™. Meteorological Applications. 16(4). 445–460. 5 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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