Pandora Hope

3.1k total citations
74 papers, 2.3k citations indexed

About

Pandora Hope is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Pandora Hope has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Global and Planetary Change, 41 papers in Atmospheric Science and 14 papers in Oceanography. Recurrent topics in Pandora Hope's work include Climate variability and models (52 papers), Meteorological Phenomena and Simulations (21 papers) and Geology and Paleoclimatology Research (11 papers). Pandora Hope is often cited by papers focused on Climate variability and models (52 papers), Meteorological Phenomena and Simulations (21 papers) and Geology and Paleoclimatology Research (11 papers). Pandora Hope collaborates with scholars based in Australia, United States and United Kingdom. Pandora Hope's co-authors include Ian Simmonds, Daohua Bi, Neville Nicholls, Andrew Dowdy, Wasyl Drosdowsky, Stephen P. Charles, Acacia Pepler, Brian F. Ryan, Bryson C. Bates and A. Ian Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Pandora Hope

73 papers receiving 2.2k citations

Peers

Pandora Hope
Sloan Coats United States
Jennifer Nakamura United States
C. Cooper United Kingdom
Steve Vavrus United States
Jaak Jaagus Estonia
Jamie Rae United Kingdom
Pandora Hope
Citations per year, relative to Pandora Hope Pandora Hope (= 1×) peers Monica Ioniță

Countries citing papers authored by Pandora Hope

Since Specialization
Citations

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

Fields of papers citing papers by Pandora Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pandora Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Pandora Hope. A scholar is included among the top collaborators of Pandora Hope 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 Pandora Hope. Pandora Hope 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.
Hope, Pandora, et al.. (2025). Advancing extreme event attribution science and communication to meet decision-maker needs in Australia and New Zealand. International Journal of Climate Change Strategies and Management. 17(1). 914–939.
2.
Hope, Pandora, Surendra Rauniyar, Roseanna C. McKay, et al.. (2024). Lessons learnt from a real-time attribution and contextualisation trial in a National Meteorological and Hydrological Service. SHILAP Revista de lepidopterología. 3(4). 45014–45014. 1 indexed citations
3.
Lim, Eun‐Pa, S. Abhik, Irina Rudeva, et al.. (2024). Predictability of the 2020 Strong Vortex in the Antarctic Stratosphere and the Role of Ozone. Journal of Geophysical Research Atmospheres. 129(20). 1 indexed citations
4.
Coumou, Dim, Paola A. Arias, Ana Bastos, et al.. (2024). How can event attribution science underpin financial decisions on Loss and Damage?. PNAS Nexus. 3(8). pgae277–pgae277. 6 indexed citations
5.
Rensch, Peter van, Margarita Saft, Murray Peel, et al.. (2023). The Role of Weather System Changes and Catchment Characteristics in the Rainfall‐Runoff Relationship Shift in Victoria, Australia. Water Resources Research. 59(6). 8 indexed citations
6.
Vogel, Elisabeth, Fiona Johnson, Lucy Marshall, et al.. (2023). An evaluation framework for downscaling and bias correction in climate change impact studies. Journal of Hydrology. 622. 129693–129693. 36 indexed citations
7.
Abhik, S., Eun‐Pa Lim, Pandora Hope, & David Jones. (2023). Multiweek Prediction and Attribution of the Black Saturday Heatwave Event in Southeast Australia. Journal of Climate. 36(19). 6763–6775. 6 indexed citations
8.
Rauniyar, Surendra, Pandora Hope, Scott B. Power, Michael Grose, & David Jones. (2023). The role of internal variability and external forcing on southwestern Australian rainfall: prospects for very wet or dry years. Scientific Reports. 13(1). 21578–21578. 11 indexed citations
9.
McKay, Roseanna C., Ghyslaine Boschat, Irina Rudeva, et al.. (2023). Can southern Australian rainfall decline be explained? A review of possible drivers. Wiley Interdisciplinary Reviews Climate Change. 14(2). 44 indexed citations
10.
Quilty, Simon, Aparna Lal, Veronica Matthews, et al.. (2023). The relative value of sociocultural and infrastructural adaptations to heat in a very hot climate in northern Australia: a case time series of heat-associated mortality. The Lancet Planetary Health. 7(8). e684–e693. 18 indexed citations
11.
Chung, Christine, Pandora Hope, Lindsay B. Hutley, Josephine R. Brown, & Norman C. Duke. (2023). Future climate change will increase risk to mangrove health in Northern Australia. Communications Earth & Environment. 4(1). 11 indexed citations
12.
Rudeva, Irina, Ghyslaine Boschat, Chris Lucas, et al.. (2023). Atmospheric trends explained by changes in frequency of short-term circulation patterns. Communications Earth & Environment. 4(1). 2 indexed citations
13.
McKay, Roseanna C., Julie M. Arblaster, & Pandora Hope. (2022). Tropical influence on heat-generating atmospheric circulation over Australia strengthens through spring. Weather and Climate Dynamics. 3(2). 413–428. 3 indexed citations
14.
Griffiths, Alan D., Pauline C. Treble, Pandora Hope, & Irina Rudeva. (2021). Rainfall Stable Water Isotope Variability in Coastal Southwestern Western Australia and Its Relationship to Climate on Multiple Timescales. Journal of Geophysical Research Atmospheres. 127(1). 5 indexed citations
15.
Lucas, Chris, Irina Rudeva, Hanh Nguyen, Ghyslaine Boschat, & Pandora Hope. (2021). Variability and changes to the mean meridional circulation in isentropic coordinates. Climate Dynamics. 58(1-2). 257–276. 9 indexed citations
16.
Pepler, Acacia, Andrew Dowdy, Peter van Rensch, et al.. (2020). The contributions of fronts, lows and thunderstorms to southern Australian rainfall. Climate Dynamics. 55(5-6). 1489–1505. 52 indexed citations
17.
Hope, Pandora, Mitchell Black, Eun‐Pa Lim, et al.. (2019). On Determining the Impact of Increasing Atmospheric CO2 on the Record Fire Weather in Eastern Australia in February 2017. Bulletin of the American Meteorological Society. 100(1). S111–S117. 31 indexed citations
18.
Lim, Eun‐Pa, Harry H. Hendon, Pandora Hope, et al.. (2019). Continuation of tropical Pacific Ocean temperature trend may weaken extreme El Niño and its linkage to the Southern Annular Mode. Scientific Reports. 9(1). 17044–17044. 31 indexed citations
19.
Hope, Pandora, et al.. (2017). Climate drivers of the 2015 Gulf of Carpentaria mangrove dieback. ResearchOnline at James Cook University (James Cook University). 10 indexed citations
20.
Alexander, Lisa V., Pandora Hope, Dean A. Collins, et al.. (2007). Trends in Australia's climate means and extremes: a global context. 56(1). 1–18. 152 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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