William Raffe

544 total citations
37 papers, 334 citations indexed

About

William Raffe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, William Raffe has authored 37 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Sociology and Political Science. Recurrent topics in William Raffe's work include Artificial Intelligence in Games (15 papers), Digital Games and Media (9 papers) and Educational Games and Gamification (9 papers). William Raffe is often cited by papers focused on Artificial Intelligence in Games (15 papers), Digital Games and Media (9 papers) and Educational Games and Gamification (9 papers). William Raffe collaborates with scholars based in Australia, Germany and Spain. William Raffe's co-authors include Fabio Zambetta, Jaime García, Xiaodong Li, Florian Mueller, Alexey Voinov, Michael Hitchens, Anders Drachen, Rafet Sifa, Karla Félix Navarro and A. Imran Nordin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and ACM Transactions on Computer-Human Interaction.

In The Last Decade

William Raffe

35 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Raffe Australia 11 124 104 93 68 60 37 334
Christoffer Holmgård Denmark 10 144 1.2× 92 0.9× 62 0.7× 38 0.6× 37 0.6× 22 251
Ray J. Hickey United Kingdom 6 139 1.1× 118 1.1× 188 2.0× 70 1.0× 37 0.6× 10 420
Christian Guckelsberger United Kingdom 10 137 1.1× 103 1.0× 111 1.2× 51 0.8× 55 0.9× 26 357
Bruce Phillips United States 6 81 0.7× 103 1.0× 124 1.3× 63 0.9× 67 1.1× 8 332
Noah Schaffer 3 67 0.5× 162 1.6× 144 1.5× 107 1.6× 55 0.9× 3 302
Ioannis Paliokas Greece 11 41 0.3× 65 0.6× 103 1.1× 97 1.4× 110 1.8× 36 425
Newton Lee United States 8 33 0.3× 65 0.6× 69 0.7× 66 1.0× 52 0.9× 42 235
Anton Bogdanovych Australia 10 83 0.7× 67 0.6× 58 0.6× 143 2.1× 93 1.6× 39 460
Maria Beatriz Carmo Portugal 10 50 0.4× 70 0.7× 30 0.3× 59 0.9× 118 2.0× 74 355
Paolo Petta Austria 9 181 1.5× 79 0.8× 59 0.6× 36 0.5× 62 1.0× 31 417

Countries citing papers authored by William Raffe

Since Specialization
Citations

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

Fields of papers citing papers by William Raffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Raffe

This figure shows the co-authorship network connecting the top 25 collaborators of William Raffe. A scholar is included among the top collaborators of William Raffe 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 William Raffe. William Raffe 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.
Raffe, William, et al.. (2024). Better Understanding of Humans for Cooperative AI through Clustering. 1–8. 1 indexed citations
2.
3.
García, Jaime, et al.. (2023). Gamification Framework for Participatory Modeling: A Proposal. Group Decision and Negotiation. 32(5). 1167–1182. 4 indexed citations
4.
Voigt-Antons, Jan‐Niklas, et al.. (2023). Real-time affect detection in virtual reality: a technique based on a three-dimensional model of affect and EEG signals. SHILAP Revista de lepidopterología. 3. 7 indexed citations
5.
Raffe, William, et al.. (2022). Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study. JMIR Formative Research. 6(11). e33952–e33952. 2 indexed citations
6.
García, Jaime, et al.. (2021). Heuristic Evaluation for Virtual Reality for Paediatric Cancer Patient: Perceptions of Healthcare Professionals. UTS ePRESS (University of Technology Sydney). 1–6. 1 indexed citations
7.
8.
Chen, Hsiang‐Ting, et al.. (2021). Effects of Level of Immersion on Virtual Training Transfer of Bimanual Assembly Tasks. SHILAP Revista de lepidopterología. 2. 8 indexed citations
9.
García, Jaime, et al.. (2020). Staying Motivated During Difficult Times: A Snapshot of Serious Games for Paediatric Cancer Patients. IEEE Transactions on Games. 12(4). 367–375. 10 indexed citations
10.
Raffe, William, et al.. (2020). Emotion Recognition Techniques for Geriatric Users: A Snapshot. 1–8. 5 indexed citations
11.
Oña, Edwin Daniel, Jaime García, William Raffe, Alberto Jardón, & Carlos Balaguer. (2019). Assessment of Manual Dexterity in VR: Towards a Fully Automated Version of the Box and Blocks Test. Studies in health technology and informatics. 266. 57–62. 5 indexed citations
12.
Oña, Edwin Daniel, Alicia Cuesta‐Gómez, Jaime García, et al.. (2019). Evaluating A VR-based Box and Blocks Test for Automatic Assessment of Manual Dexterity: A Preliminary Study in Parkinson’s Disease. 1–6. 5 indexed citations
13.
14.
Raffe, William, et al.. (2018). Measuring player skill using dynamic difficulty adjustment. Proceedings of the Australasian Computer Science Week Multiconference. 1–7. 10 indexed citations
15.
Raffe, William & Jaime García. (2018). Combining skeletal tracking and virtual reality for game-based fall prevention training for the elderly. 77. 1–7. 10 indexed citations
16.
Raffe, William, et al.. (2017). Monte Carlo tree search based algorithms for dynamic difficulty adjustment. RMIT Research Repository (RMIT University Library). 53–59. 39 indexed citations
17.
Raffe, William, et al.. (2016). Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game. University of Southern Denmark Research Portal (University of Southern Denmark). 1–8. 32 indexed citations
18.
Raffe, William, et al.. (2016). An Adaptive Training Framework for Increasing Player Proficiency in Games and Simulations. 125–131. 5 indexed citations
19.
Raffe, William, Fabio Zambetta, Xiaodong Li, & Kenneth O. Stanley. (2014). Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms. IEEE Transactions on Computational Intelligence and AI in Games. 7(2). 139–155. 10 indexed citations
20.
Raffe, William, et al.. (2010). A dual-layer clustering scheme for real-time identification of plagiarized massive multiplayer games (MMG) assets. RMIT Research Repository (RMIT University Library). 25. 307–312. 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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