Kris Popat

About

Kris Popat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kris Popat has authored 10 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Kris Popat’s work include Algorithms and Data Compression (4 papers), Usability and User Interface Design (2 papers) and Handwritten Text Recognition Techniques (2 papers). Kris Popat is often cited by papers focused on Algorithms and Data Compression (4 papers), Usability and User Interface Design (2 papers) and Handwritten Text Recognition Techniques (2 papers). Kris Popat collaborates with scholars based in United States, United Kingdom and France. Kris Popat's co-authors include Rosalind W. Picard, Paul Sharples, Scott Wilson, David Griffiths, G. Kopec, Lance Good, Eric A. Bier, Daniel Greene, Justin Romberg and Dan S. Bloomberg and has published in prestigious journals such as JUCS - Journal of Universal Computer Science, International Journal of Technology Enhanced Learning and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Kris Popat i

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Fields of papers citing papers by Kris Popat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kris Popat

Since Specialization

Citations

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