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.
Farmers and their data: An examination of farmers’ reluctance to share their data through the lens of the laws impacting smart farming
2019192 citationsLeanne Wiseman, Jay Sanderson et al.NJAS - Wageningen Journal of Life Sciencesprofile →
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 Jay Sanderson'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 Jay Sanderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Sanderson more than expected).
This network shows the impact of papers produced by Jay Sanderson. 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 Jay Sanderson. The network helps show where Jay Sanderson may publish in the future.
Co-authorship network of co-authors of Jay Sanderson
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Sanderson.
A scholar is included among the top collaborators of Jay Sanderson 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 Jay Sanderson. Jay Sanderson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wiseman, Leanne, Jay Sanderson, Airong Zhang, & Emma Jakku. (2019). Farmers and their data: An examination of farmers’ reluctance to share their data through the lens of the laws impacting smart farming. NJAS - Wageningen Journal of Life Sciences. 90-91(1). 1–10.192 indexed citations breakdown →
Wiseman, Leanne & Jay Sanderson. (2018). Legal and trust issues in Australian agriculture. Griffith Research Online (Griffith University, Queensland, Australia). 1–9.1 indexed citations
Wiseman, Leanne & Jay Sanderson. (2017). The legal dimensions of digital agriculture in Australia: An examination of the current and future state of data rules dealing with ownership, access, privacy and trust. Griffith Research Online (Griffith University, Queensland, Australia).9 indexed citations
Lamb, David, Rick Llewellyn, Jay Sanderson, et al.. (2017). Accelerating precision agriculture to decision agriculture: Enabling digital agriculture in Australia. Griffith Research Online (Griffith University, Queensland, Australia).21 indexed citations
Humphries, Fran & Jay Sanderson. (2015). Unnaturally Natural: Inventing and Eating Genetically Engineered Aquadvantage Salmon, and the Paradox of Nature. SSRN Electronic Journal.2 indexed citations
Sanderson, Jay. (2012). Reconsidering plant variety rights in the European Union after Monsanto v Cefetra BV. Griffith Research Online (Griffith University, Queensland, Australia). 34(6). 387–394.1 indexed citations
18.
Sanderson, Jay. (2008). Are Plant Breeder's Rights Outdated? A Descriptive and Empirical Assessment of Plant Breeder's Rights in Australia, 1987-2007. Melbourne University law review. 32(3). 980–1006.3 indexed citations
19.
Sanderson, Jay. (2007). Back to the Future: Possible Mechanisms for the Management of Plant Varieties in Australia. Griffith Research Online (Griffith University, Queensland, Australia). 30(3). 686–712.4 indexed citations
20.
Sanderson, Jay. (2006). Essential Derivation, Law and the Limits of Science. USC Research Bank (University of the Sunshine Coast). 24(1). 34.3 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.