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.
Observed spatial organization of soil moisture and its relation to terrain indices
Countries citing papers authored by Garry Willgoose
Since
Specialization
Citations
This map shows the geographic impact of Garry Willgoose'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 Garry Willgoose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garry Willgoose more than expected).
This network shows the impact of papers produced by Garry Willgoose. 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 Garry Willgoose. The network helps show where Garry Willgoose may publish in the future.
Co-authorship network of co-authors of Garry Willgoose
This figure shows the co-authorship network connecting the top 25 collaborators of Garry Willgoose.
A scholar is included among the top collaborators of Garry Willgoose 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 Garry Willgoose. Garry Willgoose is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hancock, G. R. & Garry Willgoose. (2017). Land destruction and redevelopment - the use of computer based landscape evolution models for post-mining landscape reconstruction. EGUGA. 9495.
Willgoose, Garry, et al.. (2015). Modelling daily rainfall along the east coast of Australia using a compound distribution Markov Chain model. NOVA (University of Newcastle Australia). 625.3 indexed citations
9.
Kiem, Anthony S., et al.. (2015). The impact of East Coast Lows (ECL) on eastern Australia's hydroclimate - do we need to consider sub-categories of ECLs?. NOVA (University of Newcastle Australia). 1506.1 indexed citations
10.
Willgoose, Garry, et al.. (2015). Use of NARCliM rainfall data for simulating streamflow in the Williams River catchment. NOVA (University of Newcastle Australia). 617.1 indexed citations
11.
Willgoose, Garry, et al.. (2015). Testing the statistics of dynamically downscaled rainfall data for the east coast of NSW. 1051.2 indexed citations
Willgoose, Garry, Sagy Cohen, G. R. Hancock, Eleanor Hobley, & Patricia Saco. (2012). The co-evolution and spatial organisation of soils, landforms, vegetation, and hydrology. AGUFM. 2012.1 indexed citations
Bates, Bryson C., Stuart E. Bunn, Malcolm Cox, et al.. (2011). National climate change adaptation research plan: Freshwater biodiversity. QUT ePrints (Queensland University of Technology).3 indexed citations
16.
Willgoose, Garry. (2009). TELLUSIM: A Python Plug-in Based Computational Framework for Spatially Distributed Environmental and Earth Sciences Modelling. AGUFM. 2008.2 indexed citations
17.
Saco, Patricia & Garry Willgoose. (2006). Modeling Complex Interactions between Ecology, Hydrology and Soil Erosion Patterns in Arid regions. AGU Fall Meeting Abstracts. 2006.1 indexed citations
18.
Codilean, Alexandru T., Trevor Hoey, Richard D. Unwin, et al.. (2006). Modelling the distribution of detrital cosmogenic nuclide concentrations: a new tool to study drainage basin evolution.. AGUFM. 2006.1 indexed citations
19.
Willgoose, Garry. (2005). User Manual for SIBERIA (Version 8.30). NOVA (University of Newcastle Australia).3 indexed citations
20.
Saco, Patricia, Garry Willgoose, & G. R. Hancock. (2003). Spatial organization of soil depths using a landform evolution model.. AGU Fall Meeting Abstracts. 2003.1 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.