Juha Arrasvuori

28 total papers · 760 total citations
24 papers, 526 citations indexed

About

Juha Arrasvuori is a scholar working on Human-Computer Interaction, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Juha Arrasvuori has authored 24 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Human-Computer Interaction, 10 papers in Sociology and Political Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juha Arrasvuori's work include Innovative Human-Technology Interaction (9 papers), Digital Games and Media (7 papers) and Persona Design and Applications (5 papers). Juha Arrasvuori is often cited by papers focused on Innovative Human-Technology Interaction (9 papers), Digital Games and Media (7 papers) and Persona Design and Applications (5 papers). Juha Arrasvuori collaborates with scholars based in Finland, Sweden and United States. Juha Arrasvuori's co-authors include Andrés Lucero, Hannu Korhonen, Kaisa Väänänen, Wiebke Reim, Vinit Parida, Evangelos Karapanos, Markus Montola, Jussi Holopainen, Thomas Olsson and Jari Kuusisto and has published in prestigious journals such as Journal of Innovation & Knowledge, interactions and Theoretical Issues in Ergonomics Science.

In The Last Decade

Juha Arrasvuori

22 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Juha Arrasvuori 282 147 107 62 57 24 526
Andy Luse 130 0.5× 121 0.8× 78 0.7× 21 0.3× 66 1.2× 52 591
Eric Scharff 257 0.9× 70 0.5× 82 0.8× 17 0.3× 69 1.2× 10 560
Ernesto G. Arias 231 0.8× 74 0.5× 61 0.6× 19 0.3× 72 1.3× 14 520
Heinrich Schwarz 178 0.6× 174 1.2× 69 0.6× 24 0.4× 32 0.6× 14 578
Alan Munro 265 0.9× 152 1.0× 72 0.7× 10 0.2× 106 1.9× 14 596
Kirsikka Vaajakallio 314 1.1× 93 0.6× 48 0.4× 17 0.3× 17 0.3× 25 563
Susan Gasson 78 0.3× 185 1.3× 51 0.5× 49 0.8× 12 0.2× 48 579
Susanne Robra-Bissantz 78 0.3× 155 1.1× 130 1.2× 37 0.6× 29 0.5× 100 562
William Lidwell 134 0.5× 74 0.5× 27 0.3× 14 0.2× 44 0.8× 11 542
Dan Diaper 170 0.6× 77 0.5× 45 0.4× 17 0.3× 36 0.6× 44 475

Countries citing papers authored by Juha Arrasvuori

Since Specialization
Citations

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

Fields of papers citing papers by Juha Arrasvuori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Arrasvuori

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Arrasvuori. A scholar is included among the top collaborators of Juha Arrasvuori 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 Juha Arrasvuori. Juha Arrasvuori 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