Jari Kangas

37 papers and 930 indexed citations i.

About

Jari Kangas is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Jari Kangas has authored 37 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Human-Computer Interaction and 13 papers in Artificial Intelligence. Recurrent topics in Jari Kangas’s work include Virtual Reality Applications and Impacts (10 papers), Augmented Reality Applications (8 papers) and Neural Networks and Applications (7 papers). Jari Kangas is often cited by papers focused on Virtual Reality Applications and Impacts (10 papers), Augmented Reality Applications (8 papers) and Neural Networks and Applications (7 papers). Jari Kangas collaborates with scholars based in Finland, China and Denmark. Jari Kangas's co-authors include Teuvo Kohonen, Erkki Oja, Olli Simula, Ari Visa, Jorma Laaksonen, Kongqiao Wang, Roope Raisamo, Lea Leinonen, Jussi Rantala and Kari Torkkola and has published in prestigious journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Jari Kangas i

Fields of papers citing papers by Jari Kangas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jari Kangas

Since Specialization
Citations

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