This map shows the geographic impact of Janice Green'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 Janice Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice Green more than expected).
This network shows the impact of papers produced by Janice Green. 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 Janice Green. The network helps show where Janice Green may publish in the future.
Co-authorship network of co-authors of Janice Green
This figure shows the co-authorship network connecting the top 25 collaborators of Janice Green.
A scholar is included among the top collaborators of Janice Green 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 Janice Green. Janice Green 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.
Jolly, Kate & Janice Green. (2019). What is the chance of an extreme event happening again next year. Australian Journal of Emergency Management. 34(4). 18.1 indexed citations
2.
Bates, Bryson C., Daniel Argüeso, Jason P. Evans, et al.. (2015). Preliminary assessment of the impact of climate change on design rainfall IFD curves. University of Southern Queensland ePrints (University of Southern Queensland).2 indexed citations
3.
Green, Janice, et al.. (2015). Very frequent design rainfalls - an enhancement to the new IFDs. 48.2 indexed citations
4.
Green, Janice, et al.. (2015). Creating long duration areal reduction factors. 39.1 indexed citations
5.
Bates, Bryson C., et al.. (2015). Australian rainfall and runoff - the interim climate change guideline. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1.1 indexed citations
6.
Green, Janice, et al.. (2015). Combining long and short duration areal reduction factors. 210.1 indexed citations
7.
Green, Janice, et al.. (2015). National estimates of rare design rainfall. 56.2 indexed citations
Green, Janice, et al.. (2014). Enhancing the new intensity-frequency-duration (IFD) design rainfalls - sub-annual IFDs. eCite Digital Repository (University of Tasmania).1 indexed citations
10.
Green, Janice, et al.. (2012). Quality controlling daily read rainfall data for the Intensity-Frequency-Duration (IFD) revision project. 177.4 indexed citations
11.
Johnson, Fiona, et al.. (2012). Regionalisation of rainfall statistics for the IFD Revision Project. 185.7 indexed citations
12.
Green, Janice, et al.. (2012). The revised Intensity-Frequency-Duration (IFD) design rainfall estimates for Australia - an overview. 808.16 indexed citations
13.
Green, Janice, et al.. (2012). Defining independence of rainfall events with a partial duration series approach. 169.8 indexed citations
14.
Johnson, Fiona, Michael F. Hutchinson, & Janice Green. (2012). Gridding of Design Rainfall Parameters for the IFD Revision Project for Australia. 1425.1 indexed citations
15.
Haddad, Khaled, Ataur Rahman, Janice Green, & George Kuczera. (2010). Design rainfall estimation for short storm durations using L-moments and generalised least squares regression-application to Australian data. 1(3). 113–121.12 indexed citations
Agho, Kingsley, et al.. (2000). Estimation of Extreme Rainfall Exceedance Probabilities: Nondirnensional Stochastic Storm Transposition. 60–65.2 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.