Kazjon Grace

811 total citations
47 papers, 369 citations indexed

About

Kazjon Grace is a scholar working on Experimental and Cognitive Psychology, Mechanical Engineering and Human-Computer Interaction. According to data from OpenAlex, Kazjon Grace has authored 47 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 14 papers in Mechanical Engineering and 14 papers in Human-Computer Interaction. Recurrent topics in Kazjon Grace's work include Design Education and Practice (14 papers), Creativity in Education and Neuroscience (12 papers) and Innovative Human-Technology Interaction (9 papers). Kazjon Grace is often cited by papers focused on Design Education and Practice (14 papers), Creativity in Education and Neuroscience (12 papers) and Innovative Human-Technology Interaction (9 papers). Kazjon Grace collaborates with scholars based in Australia, United States and China. Kazjon Grace's co-authors include Mary Lou Maher, Martin Tomitsch, Judy Kay, Douglas Fisher, Luke Hespanhol, Dan Ventura, John S. Gero, Nicholas Davis, Rob Saunders and Xi Niu and has published in prestigious journals such as Energy and Buildings, IEEE Transactions on Visualization and Computer Graphics and IBM Journal of Research and Development.

In The Last Decade

Kazjon Grace

41 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazjon Grace Australia 11 138 88 84 80 67 47 369
Lindsay MacDonald United Kingdom 9 202 1.5× 59 0.7× 37 0.4× 82 1.0× 104 1.6× 25 419
Jeba Rezwana United States 5 71 0.5× 43 0.5× 70 0.8× 48 0.6× 45 0.7× 11 254
John Joon Young Chung United States 11 113 0.8× 47 0.5× 139 1.7× 45 0.6× 36 0.5× 25 404
Lars-Erik Janlert Sweden 12 188 1.4× 60 0.7× 57 0.7× 49 0.6× 28 0.4× 32 381
Andrew M. Webb United States 11 156 1.1× 29 0.3× 46 0.5× 69 0.9× 79 1.2× 38 386
Sylvain Fleury France 11 140 1.0× 25 0.3× 43 0.5× 36 0.5× 52 0.8× 36 421
Erica Robles United States 7 220 1.6× 50 0.6× 74 0.9× 42 0.5× 24 0.4× 13 402
Oliver Bown Australia 12 152 1.1× 179 2.0× 60 0.7× 58 0.7× 72 1.1× 80 489
Licínio Roque Portugal 10 111 0.8× 54 0.6× 49 0.6× 23 0.3× 50 0.7× 85 395
Minsuk Chang South Korea 12 119 0.9× 43 0.5× 180 2.1× 26 0.3× 31 0.5× 28 475

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-authorship network of co-authors of Kazjon Grace

This figure shows the co-authorship network connecting the top 25 collaborators of Kazjon Grace. A scholar is included among the top collaborators of Kazjon Grace 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 Kazjon Grace. Kazjon Grace 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
1.
Grace, Kazjon, et al.. (2025). Carbon emission assessment and interpretability improvement empowered by machine learning: A case study in four cities, China. Energy and Buildings. 334. 115530–115530. 4 indexed citations
2.
Lee, Jung-Joo, Janghee Cho, Naseem Ahmadpour, et al.. (2024). Collective Imaginaries for the Futures of Care Work. Edinburgh Research Explorer. 732–735.
3.
Grace, Kazjon, et al.. (2023). Designing to Leverage Presence in VR Rhythm Games. Multimodal Technologies and Interaction. 7(2). 18–18. 5 indexed citations
4.
Lupetti, Maria Luce, et al.. (2023). Creative AI for HRI Design Explorations. Research Repository (Delft University of Technology). 40–50. 11 indexed citations
5.
Grace, Kazjon, et al.. (2023). When is a Tool a Tool? User Perceptions of System Agency in Human–AI Co-Creative Drawing. 1978–1996. 30 indexed citations
6.
Grace, Kazjon, et al.. (2023). Virtual Urban Field Studies: Evaluating Urban Interaction Design Using Context-Based Interface Prototypes. Multimodal Technologies and Interaction. 7(8). 82–82. 2 indexed citations
7.
Grace, Kazjon, et al.. (2023). A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design. IEEE Transactions on Visualization and Computer Graphics. 30(8). 5525–5537. 9 indexed citations
8.
Bown, Oliver, et al.. (2020). A Speculative Exploration of the Role of Dialogue in Human-ComputerCo-creation.. UNSWorks (University of New South Wales, Sydney, Australia). 25–32. 4 indexed citations
9.
Kantosalo, Anna, et al.. (2020). Modalities, Styles and Strategies: An Interaction Framework for Human-Computer Co-Creativity.. ICCC. 57–64. 5 indexed citations
10.
Davis, Nicholas, et al.. (2019). Creative Sketching Partner: A Co-Creative Sketching Tool to Inspire Design Creativity.. ICCC. 358–359. 4 indexed citations
11.
Maher, Mary Lou, et al.. (2018). Evaluating Creativity in Computational Co-Creative Systems.. ICCC. 104–111. 1 indexed citations
12.
Maher, Mary Lou, et al.. (2018). Surprise Walks: Encouraging users towards novel concepts with sequential suggestions.. ICCC. 208–215. 3 indexed citations
13.
Grace, Kazjon, et al.. (2017). Encouraging p-creative behaviour with computational curiosity. ICCC. 120–127. 2 indexed citations
14.
Grace, Kazjon & Mary Lou Maher. (2015). Specific curiosity as a cause and consequence of transformational creativity. ICCC. 260–267. 8 indexed citations
15.
Grace, Kazjon & Mary Lou Maher. (2014). Towards Computational Co-Creation in Modding Communities. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(3). 15–20. 5 indexed citations
16.
Grace, Kazjon & Mary Lou Maher. (2014). What to expect when you're expecting: The role of unexpectedness in computationally evaluating creativity.. ICCC. 120–128. 17 indexed citations
17.
Grace, Kazjon, John S. Gero, & Rob Saunders. (2013). Learning how to reinterpret creative problems. ICCC. 113–117. 1 indexed citations
18.
Grace, Kazjon, John S. Gero, & Rob Saunders. (2012). Representational affordances and creativity in association-based systems.. ICCC. 195–202. 2 indexed citations
19.
Grace, Kazjon, Rob Saunders, & John S. Gero. (2011). Interpretation-driven Visual Association.. ICCC. 132–134. 6 indexed citations
20.
Saunders, Rob & Kazjon Grace. (2008). Towards a Computational Model of Creative Cultures. National Conference on Artificial Intelligence. 67–74. 3 indexed citations

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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