Kazjon Grace

855 citations
64 papers · 582 · h-index 14

Impact in

Papers in

Kazjon Grace

58 papers receiving 533 citations

Peers

Kazjon Grace
Comparison fields: 5 of 81
  • Human-Computer Interaction 170
  • Experimental and Cognitive Psychology 105
  • Computer Science Applications 45
  • Architecture 10
  • Cognitive Neuroscience 110
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Johann Habakuk Israel Germany
Céline Mougenot United Kingdom
Jeba Rezwana United States
Graham Dove United States
Minsuk Chang South Korea
Miriam Sturdee United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Kazjon Grace

Since Specialization
Citations

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

Fields of papers citing papers by Kazjon Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kazjon Grace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kazjon Grace Line = papers co-authored together Kazjon Grace links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 201448
3 202343
4 202333
5 201326
6 201522
7 201821
8 201620
9 202318
10
What to expect when you're expecting: The role of unexpectedness in computationally evaluating creativity.
201418
11 201618
12 201816
13 201516
14 201714
15 202313
16 201911
17 201911
18
Specific curiosity as a cause and consequence of transformational creativity
201510
19 201410
20 202310

About Kazjon Grace

Kazjon Grace is a scholar working on Experimental and Cognitive Psychology, Mechanical Engineering, Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 582 indexed citations. Recurring topics across this work include Design Education and Practice (18 papers), Creativity in Education and Neuroscience (16 papers), Innovative Human-Technology Interaction (11 papers), Artificial Intelligence in Games (5 papers), Data Visualization and Analytics (4 papers), Psychological and Educational Research Studies (4 papers), Tactile and Sensory Interactions (4 papers) and Aesthetic Perception and Analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (170 citations), Experimental and Cognitive Psychology (105 citations), Computer Science Applications (45 citations), Architecture (10 citations) and Cognitive Neuroscience (110 citations). Kazjon Grace has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Mary Lou Maher, Douglas Fisher, Martin Tomitsch, Judy Kay, Luke Hespanhol, Dan Ventura, Nicholas Davis, Rob Saunders, David C. Wilson and John S. Gero. Their work appears in journals such as IEEE Transactions on Affective Computing, Artificial intelligence for engineering design analysis and manufacturing, Journal of Learning Analytics, Creativity Research Journal and Energy and Buildings.

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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