Tom Cheesman

25 papers and 129 indexed citations i.

About

Tom Cheesman is a scholar working on Literature and Literary Theory, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tom Cheesman has authored 25 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Literature and Literary Theory, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Cheesman’s work include Data Visualization and Analytics (4 papers), Digital Humanities and Scholarship (4 papers) and Video Analysis and Summarization (3 papers). Tom Cheesman is often cited by papers focused on Data Visualization and Analytics (4 papers), Digital Humanities and Scholarship (4 papers) and Video Analysis and Summarization (3 papers). Tom Cheesman collaborates with scholars based in United Kingdom, Germany and The Netherlands. Tom Cheesman's co-authors include Arnd‐Michael Nohl, Robert S. Laramee, Joseph Harris, Stephan Thiel, Kevin C. Flanagan, Marie Gillespie, W. F. H. Nicolaisen, Jonathan Hope, Jan Rybicki and Geng Zhao and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, The Modern Language Review and Journalism.

In The Last Decade

Co-authorship network of co-authors of Tom Cheesman i

Fields of papers citing papers by Tom Cheesman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Cheesman

Since Specialization
Citations

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