Matthew Turk
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 0.5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Aerospace Engineering top 10%
- Co-authors
- Tobias HöllererSteffen GauglitzBenjamin NuernbergerChangbo HuYa ChangChaofang HuDaniel VaqueroRogério Feris
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Face and Expression Recognition (5 papers)Face recognition and analysis (5 papers)
- Journals
- Communications of the ACMPattern Recognition LettersIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Matthew Turk
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 778
- Human-Computer Interaction 401
- Artificial Intelligence 197
- Cognitive Neuroscience 154
- Aerospace Engineering 126
Countries citing papers authored by Matthew Turk
This map shows the geographic impact of Matthew Turk'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 Turk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Turk more than expected).
Fields of papers citing papers by Matthew Turk
This network shows the impact of papers produced by Matthew Turk. 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 Turk. The network helps show where Matthew Turk may publish in the future.
Co-authorship network of co-authors of Matthew Turk
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Turk. A scholar is included among the top collaborators of Matthew Turk 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 Turk. Matthew Turk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 29 | |
| 3 | 5 | |
| 4 | 50 | |
| 5 | 29 | |
| 6 | 91 | |
| 7 | 8 | |
| 8 | 148 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 30 | |
| 13 | 124 | |
| 14 | 77 | |
| 15 | 91 | |
| 16 | 4 | |
| 17 | 51 | |
| 18 | 84 | |
| 19 | Representing faces for recognition | 4 |
| 20 | 36 |
About Matthew Turk
Matthew Turk is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Face and Expression Recognition (5 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Human-Computer Interaction (401 citations), Computer Vision and Pattern Recognition (778 citations) and Computational Mathematics (11 citations). Matthew Turk has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Tobias Höllerer, Steffen Gauglitz, Benjamin Nuernberger, Changbo Hu, Ya Chang, Chaofang Hu, Daniel Vaquero, Rogério Feris, Duan Tran and Lisa M. Brown. Their work appears in journals such as Communications of the ACM, Pattern Recognition Letters and IEEE Transactions on Visualization and Computer Graphics.
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.