Countries citing papers authored by Leisa Armstrong
Since
Specialization
Citations
This map shows the geographic impact of Leisa Armstrong'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 Leisa Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leisa Armstrong more than expected).
This network shows the impact of papers produced by Leisa Armstrong. 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 Leisa Armstrong. The network helps show where Leisa Armstrong may publish in the future.
Co-authorship network of co-authors of Leisa Armstrong
This figure shows the co-authorship network connecting the top 25 collaborators of Leisa Armstrong.
A scholar is included among the top collaborators of Leisa Armstrong 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 Leisa Armstrong. Leisa Armstrong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gandhi, Niketa & Leisa Armstrong. (2016). Applying data mining techniques to predict yield of rice in humid subtropical climatic zone of India. Australasian Journal of Paramedicine. 1901–1906.21 indexed citations
8.
Armstrong, Leisa, et al.. (2016). Agricultural decision support framework for visualisation and prediction of Western Australian crop production. Australasian Journal of Paramedicine. 1907–1912.4 indexed citations
Armstrong, Leisa, et al.. (2015). Factors influencing the use of information and communication technology (ICT) tools by the rural famers in Ratnagiri District of Maharashtra, India..5 indexed citations
12.
Armstrong, Leisa, et al.. (2014). On the application of genetic probabilistic neural network and cellular neural networks in precision agriculture. Murdoch Research Repository (Murdoch University).6 indexed citations
13.
Armstrong, Leisa, et al.. (2014). Application of cellular neural networks and NaiveBayes classifier in agriculture. Australasian Journal of Paramedicine.4 indexed citations
14.
Gandhi, Niketa, et al.. (2014). Mobile Applications for Indian Agriculture Sector: A case study. Australasian Journal of Paramedicine.4 indexed citations
Armstrong, Leisa, et al.. (2010). Application of a data mining framework for the identification of agricultural production areas in WA. Australasian Journal of Paramedicine.2 indexed citations
Armstrong, Leisa, et al.. (2007). Data mining can empower grower's crop decision making. Australasian Journal of Paramedicine.1 indexed citations
19.
Armstrong, Leisa, et al.. (2007). The application of data mining techniques to characterize agricultural soil profiles. Australasian Journal of Paramedicine. 85–100.24 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.