This map shows the geographic impact of Diane Watt'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 Diane Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Watt more than expected).
This network shows the impact of papers produced by Diane Watt. 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 Diane Watt. The network helps show where Diane Watt may publish in the future.
Co-authorship network of co-authors of Diane Watt
This figure shows the co-authorship network connecting the top 25 collaborators of Diane Watt.
A scholar is included among the top collaborators of Diane Watt 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 Diane Watt. Diane Watt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Diane Watt is a scholar working on Gender Studies, Speech and Hearing and Literature and Literary Theory, having authored 8 papers that have together received 350 indexed citations. Recurring topics across this work include Literacy, Media, and Education (3 papers), Digital Storytelling and Education (2 papers) and Gender, Feminism, and Media (2 papers). The work is most often cited by research in Urban Studies (21 citations), Sociology and Political Science (146 citations) and Gender Studies (30 citations). Diane Watt has collaborated with scholars based in Canada. Frequent co-authors include Richard Phillips. Their work appears in journals such as Journal of Media Literacy Education, Media and Communication and View.
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.