This map shows the geographic impact of D. J. Brown'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. J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Brown more than expected).
This network shows the impact of papers produced by D. J. Brown. 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. J. Brown. The network helps show where D. J. Brown may publish in the future.
Co-authorship network of co-authors of D. J. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Brown.
A scholar is included among the top collaborators of D. J. Brown 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. J. Brown. D. J. Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Swan, Andrew, et al.. (2018). Cross-validation of single step BLUP applied to terminal sire sheep in Australia. RUNE (Research UNE). 362.3 indexed citations
8.
Brown, D. J., Andrew Swan, Li Li, et al.. (2018). Single-Step Genetic Evaluations in the Australian Sheep Industry. RUNE (Research UNE). 460.10 indexed citations
9.
Brown, D. J., et al.. (2018). A decade of sheep genetics: what have we achieved?. RUNE (Research UNE). 661.3 indexed citations
10.
Brown, D. J., et al.. (2016). Evaluating the effects of feral deer management on endangered alpine peatlands: The Alpine National Park deer control trial. Plant protection quarterly. 31(2). 63.3 indexed citations
11.
Brown, D. J., Alex J. Ball, Abe Huisman, et al.. (2006). Sheep Genetics Australia: a national genetic evaluation system for Australian sheep.. RUNE (Research UNE).13 indexed citations
12.
Huisman, Abe & D. J. Brown. (2006). Predictive ability of sire weaning weight breeding values estimated across environments in terminal sire sheep breeds. RUNE (Research UNE). 4–7.1 indexed citations
13.
Brown, D. J., et al.. (2003). Preliminary genetic parameters for live weight and ultrasound scan traits in Merinos. RUNE (Research UNE).9 indexed citations
14.
Brown, D. J., et al.. (2002). Incorporating subjectively assessed sheep and wool traits into genetic evaluations for Merino sheep. 2: Phenotypic and genetic correlations. Wool technology and sheep breeding. 50(3). 378–382.12 indexed citations
15.
Brown, D. J., et al.. (2002). Incorporating subjectively assessed sheep and wool traits into genetic evaluations for Merino sheep. 1: Phenotypic variation and heritabilities.. Wool technology and sheep breeding. 50(3). 373–377.5 indexed citations
16.
Brown, D. J. & A. C. Schlink. (2002). A comparison of fibre diameter profiles generated using 2 mm snippet techniques to those measured using the OFDA2000.. Wool technology and sheep breeding. 50(1). 27–39.2 indexed citations
17.
Brown, D. J., Bruce Tier, Antônio Reverter, Robert Banks, & H. U. Graser. (2000). OVIS: a multiple trait breeding value estimation program for genetic evaluation of sheep.. Wool technology and sheep breeding. 48(4). 285–297.29 indexed citations
18.
Brown, D. J., et al.. (2000). The measurement of skin thickness in Merino sheep using real time ultrasound.. Wool technology and sheep breeding. 48(4). 269–276.12 indexed citations
19.
Brown, D. J., et al.. (2000). Variation in fibre diameter profile characteristics between wool staples in Merino sheep.. Wool technology and sheep breeding. 48(2). 86–93.5 indexed citations
20.
Ludwig, Jens, et al.. (1997). Does r-EAG contribute to the M-current?. UCL Discovery (University College London).6 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.