Don Kimber

19 papers and 331 indexed citations i.

About

Don Kimber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Don Kimber has authored 19 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Don Kimber’s work include Video Analysis and Summarization (5 papers), Advanced Vision and Imaging (4 papers) and Speech and Audio Processing (3 papers). Don Kimber is often cited by papers focused on Video Analysis and Summarization (5 papers), Advanced Vision and Imaging (4 papers) and Speech and Audio Processing (3 papers). Don Kimber collaborates with scholars based in United States, Japan and Canada. Don Kimber's co-authors include Vijay Balasubramanian, Michael J. Berry, M.J. Black, Scott Minneman, Jonathan Foote, Hanning Zhou, B. S. Manjunath, Francine Chen, Lynn Wilcox and Larry S. Davis and has published in prestigious journals such as Neural Computation, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Don Kimber i

Fields of papers citing papers by Don Kimber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Don Kimber

Since Specialization
Citations

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