Geoffrey Ellis

8 papers and 496 indexed citations i.

About

Geoffrey Ellis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Geoffrey Ellis has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Geoffrey Ellis’s work include Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Data Analysis with R (2 papers). Geoffrey Ellis is often cited by papers focused on Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Data Analysis with R (2 papers). Geoffrey Ellis collaborates with scholars based in United Kingdom and Germany. Geoffrey Ellis's co-authors include Alan Dix, Dominik Sacha, Daniel A. Keim, Bum Chul Kwon, Florian Stoffel, Andreas Stoffel, Hansi Senaratne, Martin Smith and Leishi Zhang and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Information Science and The Visual Computer.

In The Last Decade

Co-authorship network of co-authors of Geoffrey Ellis i

Fields of papers citing papers by Geoffrey Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Geoffrey Ellis

Since Specialization
Citations

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