Matthew Guzdial
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Developmental and Educational Psychology
- Control and Systems Engineering
- Co-authors
- Mark RiedlBoyang LiNathan SturtevantAdam SummervilleSam SnodgrassBrent HarrisonMrunal JadhavJonathan H. Chen
- Topics
- Artificial Intelligence in Games (30 papers)Digital Games and Media (12 papers)Video Analysis and Summarization (12 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionDevelopmental and Educational Psychology
- Journals
- Neural Computing and ApplicationsIEEE Transactions on GamesarXiv (Cornell University)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew Guzdial
28 papers receiving 157 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 132
- Computer Vision and Pattern Recognition 80
- Sociology and Political Science 68
- Developmental and Educational Psychology 32
- Control and Systems Engineering 24
Countries citing papers authored by Matthew Guzdial
This map shows the geographic impact of Matthew Guzdial'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 Matthew Guzdial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Guzdial more than expected).
Fields of papers citing papers by Matthew Guzdial
This network shows the impact of papers produced by Matthew Guzdial. 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 Matthew Guzdial. The network helps show where Matthew Guzdial may publish in the future.
Co-authorship network of co-authors of Matthew Guzdial
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Guzdial. A scholar is included among the top collaborators of Matthew Guzdial 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 Matthew Guzdial. Matthew Guzdial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | Combinatorial Creativity for Procedural Content Generation via Machine Learning. | 5 |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 40 | |
| 19 | 8 | |
| 20 | Crowdsourcing Open Interactive Narrative. | 13 |
About Matthew Guzdial
Matthew Guzdial is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 38 papers that have together received 172 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (30 papers), Digital Games and Media (12 papers) and Video Analysis and Summarization (12 papers). The work is most often cited by research in Artificial Intelligence (132 citations), Computer Vision and Pattern Recognition (80 citations) and Developmental and Educational Psychology (32 citations). Matthew Guzdial has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mark Riedl, Boyang Li, Nathan Sturtevant, Adam Summerville, Sam Snodgrass, Brent Harrison, Mrunal Jadhav, Jonathan H. Chen, Shaoyu Chen and Seth Cooper. Their work appears in journals such as Neural Computing and Applications, IEEE Transactions on Games and arXiv (Cornell University).
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.