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).
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.
Lupetti, Maria Luce, et al.. (2023). Creative AI for HRI Design Explorations. Research Repository (Delft University of Technology). 40–50.11 indexed citations
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.