Kai Kuikkaniemi

34 papers receiving 365 citations

Peers

Kai Kuikkaniemi
Comparison fields: 5 of 69
  • Human-Computer Interaction 182
  • Cognitive Neuroscience 94
  • Sociology and Political Science 93
  • Computer Vision and Pattern Recognition 64
  • Experimental and Cognitive Psychology 47
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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

20 of 20 papers shown
#WorkIndexed citations
1 1
2
MyData – an introduction to human-centric use of personal data (3rd, revised edition)
2
3 3
4 5
5
Design for Learning: Enhancing Participation in Learning through Design Thinking
0
6 2
7 3
8 5
9
The 19th annual international conference on Mobile computing & networking (MobiCom '13)
1
10 20
11 6
12 12
13
Someone Else’s Shoes - Using Role-Playing Games for Empathy and Collaboration in Service Design.
3
14 73
15
Listen to Yourself and Others - Multiuser Mobile Biosignal Sonification Platform EMOListen
4
16
Mobile Camera Gaming: Using camera enabled mobile phones for photo playing
1
17 11
18 1
19
Playability and player experience research
53
20
Mobile content communities
4

About Kai Kuikkaniemi

Kai Kuikkaniemi is a scholar working on Human-Computer Interaction, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 396 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Innovative Human-Technology Interaction (6 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Human-Computer Interaction (182 citations), Computer Science Applications (28 citations) and Cognitive Neuroscience (94 citations). Kai Kuikkaniemi has collaborated with scholars based in Finland, United States and Italy. Frequent co-authors include Giulio Jacucci, Marko Turpeinen, Ilkka Kosunen, Niklas Ravaja, Timo Saari, Toni Laitinen, Eve Hoggan, Jörg Müller, Matti Nelimarkka and Nina Valkanova. Their work appears in journals such as Computers in Human Behavior, Computer and International Journal of Human-Computer Studies.

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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