Kate Vaisutis

409 citations
5 papers · 310 indexed · h-index 5
Topics
Innovative Human-Technology Interaction (5 papers)Technology Use by Older Adults (4 papers)Persona Design and Applications (4 papers)
Journals
VBN Forskningsportal (Aalborg Universitet)UCL Discovery (University College London)QUT ePrints (Queensland University of Technology)

In The Last Decade

Kate Vaisutis

5 papers receiving 301 citations

Peers

Kate Vaisutis
Comparison fields: 5 of 57
  • Human-Computer Interaction 227
  • Demography 161
  • Management of Technology and Innovation 56
  • Computer Vision and Pattern Recognition 35
  • Sociology and Political Science 32
Replace Aloha Hufana Ambe with:
Aloha Hufana Ambe Australia
Tobie Kerridge United Kingdom
Lone Malmborg Denmark
Hiroshi Horii United States
Audrey Syme United Kingdom
Kimberly Tee Canada
Margaret Morgan United Kingdom
Arne Berger Germany
Alex Carmichael United Kingdom
Alina Huldtgren Germany
Kate Vaisutis relative to Aloha Hufana Ambe Australia Aloha Hufana Ambe's profile →
Citations per field
00.5×2.7×
Aloha Hufana Ambe · 1×
Citations per year

Countries citing papers authored by Kate Vaisutis

Since Specialization
Citations

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

Fields of papers citing papers by Kate Vaisutis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Vaisutis

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Vaisutis. A scholar is included among the top collaborators of Kate Vaisutis 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 Kate Vaisutis. Kate Vaisutis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 96
2
Never too old : engaging retired people inventing the future with MaKey MaKey
7
3 154
4 19
5 34

About Kate Vaisutis

Kate Vaisutis is a scholar working on Human-Computer Interaction, Demography and Food Science, having authored 5 papers that have together received 310 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (5 papers), Technology Use by Older Adults (4 papers) and Persona Design and Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (227 citations), Demography (161 citations) and Neuropsychology and Physiological Psychology (19 citations). Kate Vaisutis has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Margot Brereton, Frank Vetere, Jeni Paay, Yvonne Rogers, Gary Marsden, Alessandro Soro, Paul Roe, Bjørn Nansen, Toni Robertson and Laurie Buys. Their work appears in journals such as VBN Forskningsportal (Aalborg Universitet), UCL Discovery (University College London) and QUT ePrints (Queensland University of Technology).

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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