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.
Characterising performance of environmental models
20121.2k citationsBarry Croke, Joseph H. A. Guillaume et al.profile →
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
2017929 citationsAnthony J. Jakeman, Jai Vaze et al.profile →
A review of surrogate models and their application to groundwater modeling
2015432 citationsBarry Croke, Anthony J. Jakeman et al.Water Resources Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Barry Croke'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 Barry Croke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Croke more than expected).
This network shows the impact of papers produced by Barry Croke. 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 Barry Croke. The network helps show where Barry Croke may publish in the future.
Co-authorship network of co-authors of Barry Croke
This figure shows the co-authorship network connecting the top 25 collaborators of Barry Croke.
A scholar is included among the top collaborators of Barry Croke 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 Barry Croke. Barry Croke is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hasan, Md Masud & Barry Croke. (2013). Filling gaps in daily rainfall data: a statistical approach. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation.22 indexed citations
Croke, Barry. (2008). Representing uncertainty in objective functions: extension to include the influence of serial correlation. ANU Open Research (Australian National University). 2008.2 indexed citations
16.
Fernando, T.M.K.G., Holger R. Maier, Graeme C. Dandy, & Barry Croke. (2007). Assessing Prediction Uncertainty in the BIGMOD Model: A Shuffled Complex Evolution Metropolis Algorithm Approach. Adelaide Research & Scholarship (AR&S) (University of Adelaide).3 indexed citations
17.
Ferguson, Christobel & Barry Croke. (2005). Deterministic model to quantify pathogen and faecal indicator loads in drinking water catchments.. ANU Open Research (Australian National University).2 indexed citations
18.
Croke, Barry, et al.. (2005). Comparison of alternative loss modules in the IHACRES Model: an application to 7 catchments in Wales. ANU Open Research (Australian National University).6 indexed citations
19.
Merritt, Wendy & Barry Croke. (2002). The Biophysical Toolbox: a Biophysical Modelling Tool Developed within the IWRAM-DSS. Agritrop (Cirad).3 indexed citations
20.
Croke, Barry, et al.. (2001). Prediction of streamflow to assess trade-offs from water policy rules and land use intensification. ANU Open Research (Australian National University).3 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.