Kai Kuikkaniemi

63 total papers · 698 total citations
38 papers, 396 citations indexed

About

Kai Kuikkaniemi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Kai Kuikkaniemi has authored 38 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Human-Computer Interaction, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Sociology and Political Science. Recurrent topics in Kai Kuikkaniemi's work include Interactive and Immersive Displays (10 papers), Innovative Human-Technology Interaction (6 papers) and Virtual Reality Applications and Impacts (5 papers). Kai Kuikkaniemi is often cited by papers focused on Interactive and Immersive Displays (10 papers), Innovative Human-Technology Interaction (6 papers) and Virtual Reality Applications and Impacts (5 papers). Kai Kuikkaniemi collaborates with scholars based in Finland, United States and Italy. Kai Kuikkaniemi's co-authors include Giulio Jacucci, Marko Turpeinen, Ilkka Kosunen, Niklas Ravaja, Timo Saari, Toni Laitinen, Jörg Müller, Eve Hoggan, Matti Nelimarkka and Sheelagh Carpendale and has published in prestigious journals such as Computers in Human Behavior, Computer and International Journal of Human-Computer Studies.

In The Last Decade

Kai Kuikkaniemi

34 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Kai Kuikkaniemi 182 94 93 64 47 38 396
Arnold M. Lund 161 0.9× 72 0.8× 58 0.6× 66 1.0× 26 0.6× 46 397
Nikoleta Yiannoutsou 186 1.0× 69 0.7× 62 0.7× 108 1.7× 42 0.9× 31 381
Nediyana Daskalova 198 1.1× 80 0.9× 70 0.8× 62 1.0× 72 1.5× 12 417
Ina Wechsung 168 0.9× 91 1.0× 93 1.0× 81 1.3× 33 0.7× 44 435
Patrick Brundell 216 1.2× 48 0.5× 72 0.8× 82 1.3× 22 0.5× 27 366
Pedro Branco 173 1.0× 73 0.8× 31 0.3× 71 1.1× 47 1.0× 47 354
Licínio Roque 110 0.6× 51 0.5× 90 1.0× 67 1.0× 50 1.1× 85 392
Jarmo Laaksolahti 205 1.1× 51 0.5× 74 0.8× 41 0.6× 57 1.2× 34 414
Aude Dufresne 133 0.7× 127 1.4× 29 0.3× 56 0.9× 31 0.7× 39 353
Adrian Gradinar 158 0.9× 68 0.7× 70 0.8× 31 0.5× 20 0.4× 38 406

Countries citing papers authored by Kai Kuikkaniemi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kuikkaniemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kuikkaniemi

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kuikkaniemi. A scholar is included among the top collaborators of Kai Kuikkaniemi 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 Kai Kuikkaniemi. Kai Kuikkaniemi 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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2026