Sam Hinton

5 papers and 48 indexed citations i.

About

Sam Hinton is a scholar working on Computer Vision and Pattern Recognition, Literature and Literary Theory and Industrial relations. According to data from OpenAlex, Sam Hinton has authored 5 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Literature and Literary Theory and 0 papers in Industrial relations. Recurrent topics in Sam Hinton’s work include Folklore, Mythology, and Literature Studies (1 paper) and Data Visualization and Analytics (1 paper). Sam Hinton is often cited by papers focused on Folklore, Mythology, and Literature Studies (1 paper) and Data Visualization and Analytics (1 paper). Sam Hinton collaborates with scholars based in Australia and Spain. Sam Hinton's co-authors include Larissa Hjorth and Mitchell Whitelaw and has published in prestigious journals such as Journal of American Folklore, Western Folklore and Choice Reviews Online.

In The Last Decade

Co-authorship network of co-authors of Sam Hinton i

Fields of papers citing papers by Sam Hinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Hinton. 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 Sam Hinton. The network helps show where Sam Hinton may publish in the future.

Countries citing papers authored by Sam Hinton

Since Specialization
Citations

This map shows the geographic impact of Sam Hinton'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 Sam Hinton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Hinton more than expected).

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.

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2025