Debra Hudson

2.3k total citations
44 papers, 1.6k citations indexed

About

Debra Hudson is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Debra Hudson has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 23 papers in Oceanography. Recurrent topics in Debra Hudson's work include Climate variability and models (38 papers), Meteorological Phenomena and Simulations (25 papers) and Oceanographic and Atmospheric Processes (19 papers). Debra Hudson is often cited by papers focused on Climate variability and models (38 papers), Meteorological Phenomena and Simulations (25 papers) and Oceanographic and Atmospheric Processes (19 papers). Debra Hudson collaborates with scholars based in Australia, United Kingdom and United States. Debra Hudson's co-authors include Oscar Alves, Harry H. Hendon, Andrew G. Marshall, Guomin Wang, Eun‐Pa Lim, Matthew C. Wheeler, Richard Jones, Nigel W. Arnell, Hongyan Zhu and Aurel Moise and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Debra Hudson

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra Hudson Australia 24 1.4k 1.0k 399 154 134 44 1.6k
Atsushi Obata Japan 9 1.4k 1.0× 1.1k 1.1× 435 1.1× 119 0.8× 136 1.0× 13 1.8k
Yoshiki Komuro Japan 15 1.3k 0.9× 1.1k 1.1× 423 1.1× 137 0.9× 164 1.2× 26 1.7k
Jai‐Ho Oh South Korea 23 1.9k 1.3× 1.6k 1.5× 468 1.2× 173 1.1× 153 1.1× 72 2.2k
Eiki Shindo Japan 9 1.7k 1.2× 1.5k 1.5× 492 1.2× 131 0.9× 136 1.0× 11 2.1k
Tsuyoshi Koshiro Japan 16 1.8k 1.3× 1.6k 1.6× 303 0.8× 122 0.8× 139 1.0× 28 2.2k
Minoru Chikira Japan 9 1.2k 0.9× 1.1k 1.0× 290 0.7× 125 0.8× 140 1.0× 11 1.5k
Xiaoge Xin China 15 1.4k 1.0× 1.2k 1.2× 331 0.8× 136 0.9× 190 1.4× 49 1.7k
Fumin Ren China 23 1.8k 1.3× 1.6k 1.6× 379 0.9× 123 0.8× 146 1.1× 64 2.0k
Yukiko Imada Japan 23 1.3k 0.9× 1.0k 1.0× 376 0.9× 105 0.7× 130 1.0× 63 1.5k

Countries citing papers authored by Debra Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Debra Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Hudson

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Hudson. A scholar is included among the top collaborators of Debra Hudson 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 Debra Hudson. Debra Hudson 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.
2.
Zhu, Hongyan, Debra Hudson, Li Shi, et al.. (2024). Impacts of the new UM convection scheme, CoMorph-A, over the Indo-Pacific and Australian regions. Journal of Southern Hemisphere Earth System Science. 74(3). 1 indexed citations
3.
Kala, Jatin, et al.. (2023). Evaluation of ACCESS-S1 seasonal forecasts of growing season precipitation for Western Australia’s wheatbelt region. Journal of Southern Hemisphere Earth System Science. 73(2). 131–147. 1 indexed citations
4.
Lim, Eun‐Pa, Debra Hudson, Matthew C. Wheeler, et al.. (2021). Why Australia was not wet during spring 2020 despite La Niña. Scientific Reports. 11(1). 18423–18423. 24 indexed citations
5.
Lim, Eun‐Pa, Harry H. Hendon, Li Shi, et al.. (2021). Tropical forcing of Australian extreme low minimum temperatures in September 2019. Climate Dynamics. 56(11-12). 3625–3641. 7 indexed citations
6.
Hudson, Debra, Oscar Alves, Harry H. Hendon, et al.. (2020). Corrigendum to : ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth System Science. 70(1). 393–393. 4 indexed citations
7.
Rodrı́guez, Daniel, Peter de Voil, Debra Hudson, et al.. (2018). Predicting optimum crop designs using crop models and seasonal climate forecasts. Scientific Reports. 8(1). 2231–2231. 64 indexed citations
8.
Marshall, Andrew G., Debra Hudson, Harry H. Hendon, et al.. (2013). Simulation and prediction of blocking in the Australian region and its influence on intra-seasonal rainfall in POAMA-2. Climate Dynamics. 42(11-12). 3271–3288. 25 indexed citations
9.
White, Christopher J., Debra Hudson, & Oscar Alves. (2013). ENSO, the IOD and the intraseasonal prediction of heat extremes across Australia using POAMA-2. Climate Dynamics. 43(7-8). 1791–1810. 51 indexed citations
10.
Zhu, Hongyan, Matthew C. Wheeler, Adam H. Sobel, & Debra Hudson. (2013). Seamless Precipitation Prediction Skill in the Tropics and Extratropics from a Global Model. Monthly Weather Review. 142(4). 1556–1569. 66 indexed citations
11.
Spillman, Claire M., et al.. (2011). Using dynamical seasonal forecasts in marine management. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 5 indexed citations
12.
Hudson, Debra, Andrew G. Marshall, & Oscar Alves. (2011). Intraseasonal forecasting of the 2009 summer and winter Australian heat waves using POAMA. Weather and Forecasting. 3583685036–3583685036. 21 indexed citations
13.
Marshall, Andrew G., Debra Hudson, Matthew C. Wheeler, Harry H. Hendon, & Oscar Alves. (2011). Simulation and prediction of the Southern Annular Mode and its influence on Australian intra-seasonal climate in POAMA. Climate Dynamics. 38(11-12). 2483–2502. 47 indexed citations
14.
Hudson, Debra, et al.. (2010). Predictive Ocean Atmosphere Model for Australia (POAMA). 1 indexed citations
15.
Spillman, Claire M., Oscar Alves, & Debra Hudson. (2010). Seasonal Prediction of Thermal Stress Accumulation for Coral Bleaching in the Tropical Oceans. Monthly Weather Review. 139(2). 317–331. 18 indexed citations
16.
Hendon, Harry H., Eun‐Pa Lim, Guomin Wang, Oscar Alves, & Debra Hudson. (2009). Prospects for predicting two flavors of El Niño. Geophysical Research Letters. 36(19). 124 indexed citations
17.
Moise, Aurel & Debra Hudson. (2008). Probabilistic predictions of climate change for Australia and southern Africa using the reliability ensemble average of IPCC CMIP3 model simulations. Journal of Geophysical Research Atmospheres. 113(D15). 52 indexed citations
18.
Arnell, Nigel W., Debra Hudson, & Richard Jones. (2003). Climate change scenarios from a regional climate model: Estimating change in runoff in southern Africa. Journal of Geophysical Research Atmospheres. 108(D16). 120 indexed citations
19.
Senior, C. A., et al.. (2002). Predictions of extreme precipitation and sea–level rise under climate change. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 360(1796). 1301–1311. 40 indexed citations
20.
Hudson, Debra. (1997). Southern African climate change simulated by the GENESIS GCM. South African Journal of Science. 93(9). 389–403. 9 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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