Kory W. Mathewson
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Mechanics of Materials
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Piotr MirowskiRichard EvansJanaka C. RanasinghesagaraRoger J. ZempAndrew WalshTyler HarrisonIshita DasguptaAntonia Creswell
- Topics
- Reinforcement Learning in Robotics (5 papers)Photoacoustic and Ultrasonic Imaging (4 papers)Artificial Intelligence in Games (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Kory W. Mathewson
21 papers receiving 411 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 193
- Biomedical Engineering 86
- Computer Vision and Pattern Recognition 57
- Mechanics of Materials 52
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Kory W. Mathewson
This map shows the geographic impact of Kory W. Mathewson'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 Kory W. Mathewson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kory W. Mathewson more than expected).
Fields of papers citing papers by Kory W. Mathewson
This network shows the impact of papers produced by Kory W. Mathewson. 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 Kory W. Mathewson. The network helps show where Kory W. Mathewson may publish in the future.
Co-authorship network of co-authors of Kory W. Mathewson
This figure shows the co-authorship network connecting the top 25 collaborators of Kory W. Mathewson. A scholar is included among the top collaborators of Kory W. Mathewson 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 Kory W. Mathewson. Kory W. Mathewson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 3 | |
| 3 | Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionalsbreakdown → | 106 |
| 4 | 86 | |
| 5 | 4 | |
| 6 | 32 | |
| 7 | 7 | |
| 8 | Rosetta Code: Improv in Any Language. | 2 |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 70 | |
| 19 | 5 | |
| 20 | 1 |
About Kory W. Mathewson
Kory W. Mathewson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Complementary and alternative medicine, having authored 22 papers that have together received 424 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Photoacoustic and Ultrasonic Imaging (4 papers) and Artificial Intelligence in Games (4 papers). The work is most often cited by research in Health Informatics (19 citations), Human-Computer Interaction (39 citations) and Artificial Intelligence (193 citations). Kory W. Mathewson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Piotr Mirowski, Richard Evans, Janaka C. Ranasinghesagara, Roger J. Zemp, Andrew Walsh, Tyler Harrison, Ishita Dasgupta, Antonia Creswell, James L. McClelland and Andrew K. Lampinen. Their work appears in journals such as Nature Communications, PLoS ONE and Magnetic Resonance in Medicine.
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.