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.
APSIM: a novel software system for model development, model testing and simulation in agricultural systems research
1996658 citationsR. L. McCown, Graeme Hammer et al.Agricultural Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by D. M. Freebairn
Since
Specialization
Citations
This map shows the geographic impact of D. M. Freebairn'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 D. M. Freebairn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Freebairn more than expected).
This network shows the impact of papers produced by D. M. Freebairn. 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 D. M. Freebairn. The network helps show where D. M. Freebairn may publish in the future.
Co-authorship network of co-authors of D. M. Freebairn
This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Freebairn.
A scholar is included among the top collaborators of D. M. Freebairn 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 D. M. Freebairn. D. M. Freebairn 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.
Freebairn, D. M. & Afshin Ghahramani. (2018). Challenges in estimating soil water. University of Southern Queensland ePrints (University of Southern Queensland).1 indexed citations
Freebairn, D. M., et al.. (2010). A pragmatic water-balance based protocol for assessing water quality from agricultural lands.. 5–8.1 indexed citations
Dang, Yash P., Ram C. Dalal, Graeme Schwenke, et al.. (2007). Combating subsoil constraints. Queensland's institutional digital repository (The University of Queensland).1 indexed citations
8.
Robinson, Brett, D. M. Freebairn, Kerry L. Bell, & Samsul Huda. (2003). Farmers' goals and values are knowable, but not simple. (And why farmers and researchers are like the odd couple).1 indexed citations
9.
McHugh, A. D., J. N. Tullberg, & D. M. Freebairn. (2003). Effects of field traffic removal on hydraulic conductivity and plant available water capacity. Queensland's institutional digital repository (The University of Queensland). 1. 717–723.4 indexed citations
McCown, R. L., Graeme Hammer, J.N.G. Hargreaves, Dean Holzworth, & D. M. Freebairn. (1996). APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems. 50(3). 255–271.658 indexed citations breakdown →
17.
Freebairn, D. M., et al.. (1996). Soil erosion and soil conservation for Vertisols.. 303–362.17 indexed citations
Freebairn, D. M., et al.. (1991). Water balance and erosion study on the eastern Darling Downs [Queensland] - an update [wheat crops].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.