Jakub Kanis

8 papers and 46 indexed citations i.

About

Jakub Kanis is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Jakub Kanis has authored 8 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 2 papers in Biomedical Engineering. Recurrent topics in Jakub Kanis’s work include Gesture Recognition in Human-Computer Interaction (6 papers), Human Pose and Action Recognition (6 papers) and Gait Recognition and Analysis (2 papers). Jakub Kanis is often cited by papers focused on Gesture Recognition in Human-Computer Interaction (6 papers), Human Pose and Action Recognition (6 papers) and Gait Recognition and Analysis (2 papers). Jakub Kanis collaborates with scholars based in Czechia. Jakub Kanis's co-authors include Marek Hrúz, Miloš Železný, Luděk Müller, J. Straka, Pavel Jedlička and Josef Psutka and has published in prestigious journals such as Sensors, IEEE Access and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Jakub Kanis i

Fields of papers citing papers by Jakub Kanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakub Kanis

Since Specialization
Citations

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