Kaiju Kangas

64 total papers · 683 total citations
32 papers, 289 citations indexed

About

Kaiju Kangas is a scholar working on Mechanical Engineering, Experimental and Cognitive Psychology and Computer Science Applications. According to data from OpenAlex, Kaiju Kangas has authored 32 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 13 papers in Experimental and Cognitive Psychology and 8 papers in Computer Science Applications. Recurrent topics in Kaiju Kangas's work include Design Education and Practice (18 papers), Creativity in Education and Neuroscience (13 papers) and Innovative Teaching and Learning Methods (8 papers). Kaiju Kangas is often cited by papers focused on Design Education and Practice (18 papers), Creativity in Education and Neuroscience (13 papers) and Innovative Teaching and Learning Methods (8 papers). Kaiju Kangas collaborates with scholars based in Finland, Netherlands and United Kingdom. Kaiju Kangas's co-authors include Pirita Seitamaa‐Hakkarainen, Kai Hakkarainen, Stephen Brewster, Wai Yu, Tiina Korhonen, Sami Paavola, Kalle Juuti, Jari Lavonen, Tapani Hyttinen and Auli Toom and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Educational Technology and Journal of Computer Assisted Learning.

In The Last Decade

Kaiju Kangas

27 papers receiving 263 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kaiju Kangas 92 80 67 67 64 32 289
Eva-Sophie Katterfeldt 50 0.5× 120 1.5× 57 0.9× 161 2.4× 59 0.9× 17 291
Selina Schepers 38 0.4× 151 1.9× 76 1.1× 48 0.7× 29 0.5× 32 313
Naomi Thompson 22 0.2× 39 0.5× 128 1.9× 83 1.2× 44 0.7× 27 307
Mathieu Gielen 45 0.5× 188 2.4× 122 1.8× 55 0.8× 48 0.8× 25 312
Katrien Dreessen 38 0.4× 174 2.2× 57 0.9× 47 0.7× 19 0.3× 38 299
David DeLiema 21 0.2× 56 0.7× 70 1.0× 102 1.5× 145 2.3× 33 294
Gökçe Elif Baykal 22 0.2× 150 1.9× 124 1.9× 85 1.3× 66 1.0× 41 329
Mikkel Hjorth 119 1.3× 82 1.0× 60 0.9× 119 1.8× 33 0.5× 14 277
Kayla DesPortes 16 0.2× 104 1.3× 41 0.6× 125 1.9× 52 0.8× 39 282
Dimitris Grammenos 18 0.2× 126 1.6× 27 0.4× 19 0.3× 56 0.9× 35 296

Countries citing papers authored by Kaiju Kangas

Since Specialization
Citations

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

Fields of papers citing papers by Kaiju Kangas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiju Kangas

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiju Kangas. A scholar is included among the top collaborators of Kaiju Kangas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaiju Kangas. Kaiju Kangas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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