Matthew Q. Hill
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Social Psychology
- Co-authors
- Alice J. O’TooleConnor J. PardeCarina A. HahnCarlos D. CastilloP. Jonathon PhillipsDavid WhiteYoucheng SunRob Ashmore
- Topics
- Face recognition and analysis (11 papers)Face Recognition and Perception (5 papers)Face and Expression Recognition (5 papers)
- Journals
- Trends in Cognitive SciencesPsychological ScienceProceedings of the Royal Society B Biological Sciences
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Matthew Q. Hill
19 papers receiving 533 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 277
- Cognitive Neuroscience 260
- Experimental and Cognitive Psychology 151
- Artificial Intelligence 117
- Social Psychology 57
Countries citing papers authored by Matthew Q. Hill
This map shows the geographic impact of Matthew Q. Hill'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 Q. Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Q. Hill more than expected).
Fields of papers citing papers by Matthew Q. Hill
This network shows the impact of papers produced by Matthew Q. Hill. 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 Q. Hill. The network helps show where Matthew Q. Hill may publish in the future.
Co-authorship network of co-authors of Matthew Q. Hill
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Q. Hill. A scholar is included among the top collaborators of Matthew Q. Hill 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 Q. Hill. Matthew Q. Hill 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 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | Automated License Plate Recognition using Existing University Infrastructure and Different Camera Angles | 1 |
| 7 | 47 | |
| 8 | 57 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 40 | |
| 12 | 19 | |
| 13 | 92 | |
| 14 | 1 | |
| 15 | 43 | |
| 16 | 15 | |
| 17 | 50 | |
| 18 | 125 | |
| 19 | 13 | |
| 20 | 5 |
About Matthew Q. Hill
Matthew Q. Hill is a scholar working on Software, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 20 papers that have together received 552 indexed citations. Recurring topics across this work include Face recognition and analysis (11 papers), Face Recognition and Perception (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Software (53 citations), Computer Vision and Pattern Recognition (277 citations) and Cognitive Neuroscience (260 citations). Matthew Q. Hill has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alice J. O’Toole, Connor J. Parde, Carina A. Hahn, Carlos D. Castillo, P. Jonathon Phillips, David White, Youcheng Sun, Rob Ashmore, Xiaowei Huang and James J. Sharp. Their work appears in journals such as Trends in Cognitive Sciences, Psychological Science and Proceedings of the Royal Society B Biological Sciences.
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.