Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm
Countries citing papers authored by George Kuczera
Since
Specialization
Citations
This map shows the geographic impact of George Kuczera'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 George Kuczera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Kuczera more than expected).
This network shows the impact of papers produced by George Kuczera. 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 George Kuczera. The network helps show where George Kuczera may publish in the future.
Co-authorship network of co-authors of George Kuczera
This figure shows the co-authorship network connecting the top 25 collaborators of George Kuczera.
A scholar is included among the top collaborators of George Kuczera 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 George Kuczera. George Kuczera is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Haddad, Khaled, et al.. (2009). Regional flood estimation technique for NSW: application of generalised least squares quantile regression technique. 829.5 indexed citations
8.
Cui, Lijie & George Kuczera. (2009). Application of Multiobjective Optimization Methods for Urban Water Management: A Case Study for Canberra Water Supply System. 887.3 indexed citations
9.
Kuczera, George, et al.. (2009). Addressing the shortcomings of water resource simulation models based on network linear programming. 877.5 indexed citations
10.
Micevski, Tom & George Kuczera. (2008). A General and Practical Bayesian Procedure for Regional and At-site Flood Frequency Analysis. NOVA (University of Newcastle Australia). 363.1 indexed citations
11.
Thyer, Mark, Andrew Frost, George Kuczera, & R. Srikanthan. (2006). Stochastic Modelling of (Not-so) Long-term Hydrological Data: Current Status and Future Research. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 321.1 indexed citations
12.
Coombes, Peter J, et al.. (2003). The Impact of Supply and Demand Management Approaches on the Security of Sydney's Water Supply. 3.6 indexed citations
13.
Coombes, Peter J, et al.. (2003). Development of Stochastic Multisite Rainfall and Urban Water Demand for the Central Coast Region of New South Wales. 2.3 indexed citations
14.
Coombes, Peter J & George Kuczera. (2003). A Sensitivity Analysis of an Investment Model Used to Determine the Economic Benefits of Rainwater Tanks. 2.15 indexed citations
15.
Coombes, Peter J, George Kuczera, & J. D. Kalma. (2002). Economic, Water Quantity and Quality Results from a House with a Rainwater Tank in the Inner City. 861.14 indexed citations
16.
Lambert, Martin F., et al.. (2002). Regionalisation of a High Resolution Point Rainfall Model. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 726.2 indexed citations
17.
Lambert, Martin F., et al.. (2002). Overcoming the Joint Probability Problem Associated with Initial Loss Estimation in Design Flood Estimation. 70.4 indexed citations
18.
Coombes, Peter J, George Kuczera, & J. D. Kalma. (2000). A probabilistic behavioural model for simulation of exhouse water demand. 793.5 indexed citations
19.
Thyer, Mark & George Kuczera. (2000). A New Approach for Modelling Long Term Rainfall Persistence at Multiple Sites. 544.1 indexed citations
20.
Kuczera, George, Brian P. Williams, Philip John Binning, & Martin F. Lambert. (2000). An education web site for free water engineering software. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1048.2 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.