Conrad Wasko

6.0k total citations · 2 hit papers
77 papers, 4.0k citations indexed

About

Conrad Wasko is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Conrad Wasko has authored 77 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 35 papers in Atmospheric Science and 35 papers in Water Science and Technology. Recurrent topics in Conrad Wasko's work include Climate variability and models (46 papers), Hydrology and Drought Analysis (46 papers) and Flood Risk Assessment and Management (39 papers). Conrad Wasko is often cited by papers focused on Climate variability and models (46 papers), Hydrology and Drought Analysis (46 papers) and Flood Risk Assessment and Management (39 papers). Conrad Wasko collaborates with scholars based in Australia, United States and United Kingdom. Conrad Wasko's co-authors include Ashish Sharma, Rory Nathan, Dennis P. Lettenmaier, Suresh Hettiarachchi, Seth Westra, Murray Peel, Gabriele Villarini, Fiona Johnson, Hayley J. Fowler and Declan O’Shea and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Conrad Wasko

73 papers receiving 4.0k citations

Hit Papers

Anthropogenic intensification of short-duration rainfa... 2018 2026 2020 2023 2021 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conrad Wasko Australia 32 3.5k 1.7k 1.7k 497 132 77 4.0k
Fiona Johnson Australia 30 3.0k 0.9× 1.4k 0.8× 1.9k 1.1× 722 1.5× 140 1.1× 106 3.9k
S. S. Jiang China 35 2.9k 0.8× 1.8k 1.0× 1.8k 1.0× 694 1.4× 134 1.0× 113 3.8k
Zhenchun Hao China 27 2.2k 0.6× 1.7k 1.0× 1.9k 1.1× 658 1.3× 171 1.3× 92 3.4k
Gopi Goteti United States 6 1.9k 0.5× 1.2k 0.7× 876 0.5× 506 1.0× 111 0.8× 11 2.5k
Claudia Teutschbein Sweden 19 2.4k 0.7× 1.8k 1.0× 1.2k 0.7× 378 0.8× 140 1.1× 49 3.3k
Yeshewatesfa Hundecha Germany 26 2.3k 0.7× 1.8k 1.1× 795 0.5× 552 1.1× 136 1.0× 41 2.8k
Xihui Gu China 35 2.5k 0.7× 1.2k 0.7× 1.2k 0.7× 625 1.3× 128 1.0× 125 3.2k
Fredrik Wetterhall United Kingdom 36 4.6k 1.3× 2.4k 1.4× 2.4k 1.4× 715 1.4× 116 0.9× 76 5.3k
Yves Tramblay France 37 2.9k 0.8× 1.8k 1.0× 1.4k 0.8× 647 1.3× 315 2.4× 116 4.0k

Countries citing papers authored by Conrad Wasko

Since Specialization
Citations

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

Fields of papers citing papers by Conrad Wasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conrad Wasko

This figure shows the co-authorship network connecting the top 25 collaborators of Conrad Wasko. A scholar is included among the top collaborators of Conrad Wasko 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 Conrad Wasko. Conrad Wasko 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.
Strong, Robert, et al.. (2025). Global Applicability of the Kappa Distribution for Rainfall Frequency Analysis. Water Resources Research. 61(2). 2 indexed citations
2.
Wasko, Conrad, et al.. (2025). Atmospheric Rivers intensify extreme precipitation and flooding across Australia. Weather and Climate Extremes. 50. 100812–100812.
3.
Wasko, Conrad, et al.. (2025). Evaluation and projection of extreme rainfall from a large ensemble of high–resolution regional climate models in Australia. Weather and Climate Extremes. 50. 100818–100818.
4.
Sharma, Ashish, et al.. (2025). The contribution of floods to streamflow at yearly timescales: A global assessment. Journal of Hydrology. 657. 133099–133099.
5.
Wasko, Conrad, Seth Westra, Rory Nathan, et al.. (2024). A systematic review of climate change science relevant to Australian design flood estimation. Hydrology and earth system sciences. 28(5). 1251–1285. 18 indexed citations
6.
O’Shea, Declan, Rory Nathan, Conrad Wasko, & Ashish Sharma. (2024). Separating Storm Intensity and Arrival Frequency in Nonstationary Rainfall Frequency Analysis. Water Resources Research. 60(11). 4 indexed citations
7.
Kim, Hanbeen, Gabriele Villarini, Conrad Wasko, & Yves Tramblay. (2024). Changes in the Climate System Dominate Inter‐Annual Variability in Flooding Across the Globe. Geophysical Research Letters. 51(6). 8 indexed citations
8.
Wasko, Conrad, Clare Stephens, Tim Peterson, et al.. (2024). Understanding the implications of climate change for Australia’s surface water resources: Challenges and future directions. Journal of Hydrology. 645. 132221–132221. 7 indexed citations
9.
Wasko, Conrad, Seth Westra, Rory Nathan, et al.. (2023). A systematic review of climate change science relevant to Australian design flood estimation. 5 indexed citations
10.
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
11.
Ho, Michelle, Conrad Wasko, Declan O’Shea, et al.. (2023). Changes in flood-associated rainfall losses under climate change. Journal of Hydrology. 625. 129950–129950. 17 indexed citations
12.
O’Shea, Declan, Rory Nathan, Ashish Sharma, & Conrad Wasko. (2023). Improved Extreme Rainfall Frequency Analysis Using a Two‐Step Kappa Approach. Water Resources Research. 59(4). 6 indexed citations
13.
Fowler, Hayley J., Conrad Wasko, & Andreas F. Prein. (2021). Intensification of short-duration rainfall extremes and implications for flood risk: current state of the art and future directions. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2195). 20190541–20190541. 76 indexed citations
14.
Fowler, Hayley J., Geert Lenderink, Andreas F. Prein, et al.. (2021). Anthropogenic intensification of short-duration rainfall extremes. Nature Reviews Earth & Environment. 2(2). 107–122. 540 indexed citations breakdown →
15.
Wasko, Conrad, Elisabeth Vogel, Louise Wilson, et al.. (2020). Understanding trends in hydrologic extremes across Australia. Journal of Hydrology. 593. 125877–125877. 48 indexed citations
16.
Hettiarachchi, Suresh, Conrad Wasko, & Ashish Sharma. (2018). Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns. Hydrology and earth system sciences. 22(3). 2041–2056. 200 indexed citations
17.
Wasko, Conrad & Ashish Sharma. (2017). Global assessment of flood and storm extremes with increased temperatures. Scientific Reports. 7(1). 7945–7945. 192 indexed citations
18.
Hettiarachchi, Suresh, Conrad Wasko, & Ashish Sharma. (2017). Increase in urban flood risk resulting from climate change – The role of storm temporal patterns. 5 indexed citations
19.
Wasko, Conrad, Ashish Sharma, & Peter Rasmussen. (2014). Improved spatial prediction: A combinatorial approach. EGU General Assembly Conference Abstracts. 10791. 22 indexed citations
20.
Wasko, Conrad, et al.. (2011). Groundwater modelling in a highly seasonal, fractured rock environment using FEFLOW. Own your potential (DEAKIN). 1709. 2 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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