This map shows the geographic impact of Jane Watson'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 Jane Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Watson more than expected).
This network shows the impact of papers produced by Jane Watson. 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 Jane Watson. The network helps show where Jane Watson may publish in the future.
Co-authorship network of co-authors of Jane Watson
This figure shows the co-authorship network connecting the top 25 collaborators of Jane Watson.
A scholar is included among the top collaborators of Jane Watson 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 Jane Watson. Jane Watson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Watson, Jane, et al.. (2018). Making the connections: from statistics education research to teaching advice. eCite Digital Repository (University of Tasmania).1 indexed citations
5.
Watson, Jane & Rosemary Callingham. (2017). Developing learning progressions to support mathematical reasoning in the middle years: statistical reasoning. UTAS Research Repository.1 indexed citations
6.
Watson, Jane. (2017). A classroom scenario for professional learning in statistics. eCite Digital Repository (University of Tasmania).1 indexed citations
7.
Watson, Jane. (2017). Reasoning and sense making in statistics and probability. eCite Digital Repository (University of Tasmania).1 indexed citations
8.
Hay, Ian, et al.. (2015). Factors that influence students' educational aspirations. eCite Digital Repository (University of Tasmania).2 indexed citations
9.
Watson, Jane. (2014). Curriculum expectations for teaching science and statistics. eCite Digital Repository (University of Tasmania).6 indexed citations
10.
Watson, Jane. (2013). Statistical literacy, a statistics curriculum for school students, the pedagogical content needs of teachers, and the Australian Curriculum. eCite Digital Repository (University of Tasmania).3 indexed citations
11.
Fitzallen, Noleine & Jane Watson. (2011). Graph creation and interpretation: Putting skills and context together. eCite Digital Repository (University of Tasmania).3 indexed citations
12.
Watson, Jane, et al.. (2009). The SiMERR Experience in Tasmania. eCite Digital Repository (University of Tasmania).1 indexed citations
13.
Watson, Jane. (2008). Excitement part of the equation. eCite Digital Repository (University of Tasmania).
14.
Watson, Jane, et al.. (2002). Variation as Part of Chance and Data in Grades 7 and 9. eCite Digital Repository (University of Tasmania).11 indexed citations
15.
Watson, Jane, et al.. (2002). Developing Concepts of Sampling for Statistical Literacy. eCite Digital Repository (University of Tasmania).1 indexed citations
16.
Shaughnessy, J. Michael, et al.. (1999). School Mathematics Students' Acknowledgement of Statistical Variation. eCite Digital Repository (University of Tasmania).19 indexed citations
17.
Watson, Jane & Jonathan B. Moritz. (1999). The development of concepts of average. eCite Digital Repository (University of Tasmania).18 indexed citations
18.
Watson, Jane & Jonathan B. Moritz. (1998). Longitudinal Development of Chance Measurement. eCite Digital Repository (University of Tasmania).15 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.