Andrew D. Magee

450 total citations
17 papers, 266 citations indexed

About

Andrew D. Magee is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Andrew D. Magee has authored 17 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 12 papers in Oceanography. Recurrent topics in Andrew D. Magee's work include Tropical and Extratropical Cyclones Research (15 papers), Climate variability and models (14 papers) and Ocean Waves and Remote Sensing (11 papers). Andrew D. Magee is often cited by papers focused on Tropical and Extratropical Cyclones Research (15 papers), Climate variability and models (14 papers) and Ocean Waves and Remote Sensing (11 papers). Andrew D. Magee collaborates with scholars based in Australia, New Zealand and Fiji. Andrew D. Magee's co-authors include Danielle C. Verdon‐Kidd, Anthony S. Kiem, Stephen A. Royle, Howard J. Diamond, Johnny C. L. Chan, Andrew M. Lorrey, Kim Colyvas, Neil J. Holbrook, Savin S. Chand and Philip Malsale and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Bulletin of the American Meteorological Society.

In The Last Decade

Andrew D. Magee

16 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew D. Magee Australia 11 207 196 134 48 19 17 266
Simon McGree Australia 10 150 0.7× 187 1.0× 55 0.4× 39 0.8× 20 1.1× 11 263
Samuel S. Bell Australia 9 309 1.5× 296 1.5× 164 1.2× 20 0.4× 2 0.1× 14 363
Nam-Young Kang South Korea 10 314 1.5× 279 1.4× 178 1.3× 20 0.4× 2 0.1× 21 347
Rafe Pomerance United States 4 126 0.6× 115 0.6× 46 0.3× 25 0.5× 4 0.2× 6 260
D. J. Scott United States 5 270 1.3× 151 0.8× 94 0.7× 21 0.4× 7 0.4× 7 343
Ali Belmadani France 13 206 1.0× 260 1.3× 310 2.3× 18 0.4× 6 0.3× 22 427
Craig Heady Australia 6 131 0.6× 215 1.1× 37 0.3× 11 0.2× 3 0.2× 7 266
Rob Colman Australia 7 267 1.3× 356 1.8× 172 1.3× 5 0.1× 3 0.2× 7 386
Vineet Kumar Singh India 7 285 1.4× 271 1.4× 199 1.5× 12 0.3× 14 350
Adam S. Lea United Kingdom 6 211 1.0× 204 1.0× 117 0.9× 18 0.4× 1 0.1× 9 302

Countries citing papers authored by Andrew D. Magee

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Magee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew D. Magee

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Magee. A scholar is included among the top collaborators of Andrew D. Magee 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 D. Magee. Andrew D. Magee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Magee, Andrew D., et al.. (2023). The influence of large-scale climate modes on tropical cyclone tracks in the southwest Pacific. Natural Hazards. 118(3). 2285–2307. 1 indexed citations
2.
Chand, Savin S., et al.. (2022). Severe tropical cyclones over southwest Pacific Islands: economic impacts and implications for disaster risk management. Climatic Change. 172(3-4). 8 indexed citations
3.
Magee, Andrew D., Anthony S. Kiem, & Andrew M. Lorrey. (2022). Insights into the Usefulness of a New Extreme Weather Guidance Tool: The Long-Range Tropical Cyclone Outlook for the Southwest Pacific (TCO-SP). Bulletin of the American Meteorological Society. 103(4). E1220–E1233. 1 indexed citations
4.
Magee, Andrew D., Anthony S. Kiem, & Johnny C. L. Chan. (2021). A new approach for location-specific seasonal outlooks of typhoon and super typhoon frequency across the Western North Pacific region. Scientific Reports. 11(1). 19439–19439. 17 indexed citations
5.
Chand, Savin S., Hamish A. Ramsay, Neil J. Holbrook, et al.. (2021). Tropical cyclone contribution to extreme rainfall over southwest Pacific Island nations. Climate Dynamics. 56(11-12). 3967–3993. 24 indexed citations
6.
Verdon‐Kidd, Danielle C., et al.. (2021). A decision tree approach to identify predictors of extreme rainfall events – A case study for the Fiji Islands. Weather and Climate Extremes. 34. 100405–100405. 11 indexed citations
7.
Magee, Andrew D., Andrew M. Lorrey, Anthony S. Kiem, & Kim Colyvas. (2020). A new island-scale tropical cyclone outlook for southwest Pacific nations and territories. Scientific Reports. 10(1). 11286–11286. 20 indexed citations
8.
Magee, Andrew D., et al.. (2020). Variability of southwest Pacific tropical cyclone track geometry over the last 70 years. International Journal of Climatology. 41(1). 529–546. 13 indexed citations
9.
Magee, Andrew D. & Anthony S. Kiem. (2020). Using Indicators of ENSO, IOD, and SAM to Improve Lead Time and Accuracy of Tropical Cyclone Outlooks for Australia. Journal of Applied Meteorology and Climatology. 59(11). 1901–1917. 7 indexed citations
10.
11.
Magee, Andrew D. & Danielle C. Verdon‐Kidd. (2019). Historical Variability of Southwest Pacific Tropical Cyclone Counts Since 1855. Geophysical Research Letters. 46(12). 6936–6945. 14 indexed citations
12.
Verdon‐Kidd, Danielle C., et al.. (2019). Decadal variability of tropical cyclogenesis and decay in the southwest Pacific. International Journal of Climatology. 40(5). 2811–2829. 14 indexed citations
13.
Magee, Andrew D. & Danielle C. Verdon‐Kidd. (2018). On the relationship between Indian Ocean sea surface temperature variability and tropical cyclogenesis in the southwest Pacific. International Journal of Climatology. 38(S1). 18 indexed citations
14.
Magee, Andrew D., Danielle C. Verdon‐Kidd, Howard J. Diamond, & Anthony S. Kiem. (2017). Influence ofENSO,ENSOModoki, and theIPOon tropical cyclogenesis: a spatial analysis of the southwest Pacific region. International Journal of Climatology. 37(S1). 1118–1137. 39 indexed citations
15.
Magee, Andrew D., Danielle C. Verdon‐Kidd, & Anthony S. Kiem. (2016). An intercomparison of tropical cyclone best-track products for the southwest Pacific. Natural hazards and earth system sciences. 16(6). 1431–1447. 26 indexed citations
16.
Magee, Andrew D., Danielle C. Verdon‐Kidd, Anthony S. Kiem, & Stephen A. Royle. (2016). Tropical cyclone perceptions, impacts and adaptation in the Southwest Pacific: an urban perspective from Fiji, Vanuatu and Tonga. Natural hazards and earth system sciences. 16(5). 1091–1105. 52 indexed citations
17.
Magee, Andrew D., Danielle C. Verdon‐Kidd, & Anthony S. Kiem. (2015). Can Indian Ocean SST variability impact TC activity in the South Pacific? A Spatial Analysis. EGU General Assembly Conference Abstracts. 3126. 1 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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