Matthew Q. Hill

983 total citations
20 papers, 552 citations indexed

About

Matthew Q. Hill is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew Q. Hill has authored 20 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Cognitive Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew Q. Hill's work include Face recognition and analysis (11 papers), Face Recognition and Perception (5 papers) and Face and Expression Recognition (5 papers). Matthew Q. Hill is often cited by papers focused on Face recognition and analysis (11 papers), Face Recognition and Perception (5 papers) and Face and Expression Recognition (5 papers). Matthew Q. Hill collaborates with scholars based in United States, Germany and United Kingdom. Matthew Q. Hill's 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 and has published in prestigious journals such as Trends in Cognitive Sciences, Psychological Science and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Matthew Q. Hill

19 papers receiving 533 citations

Peers

Matthew Q. Hill
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
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Erroll Wood United Kingdom
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Evangelos Sarıyanidi United States
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Baptiste Caramiaux France View profile →
Citations per field, relative to Matthew Q. Hill
Matthew Q. Hill · 1×
Citations per year, relative to Matthew Q. Hill
Matthew Q. Hill · 1×

Countries citing papers authored by Matthew Q. Hill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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