Matthew A. Turk
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- David G. MorgenthalerKeith GrembanM. MarraJoseph P. RobinsonYun FuCan QinMing ShaoRama Chellappa
- Topics
- Robotic Path Planning Algorithms (3 papers)Autonomous Vehicle Technology and Safety (2 papers)Manufacturing Process and Optimization (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencearXiv (Cornell University)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United StatesMexicoBangladesh
In The Last Decade
Matthew A. Turk
5 papers receiving 274 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 248
- Aerospace Engineering 141
- Automotive Engineering 107
- Control and Systems Engineering 35
- Artificial Intelligence 25
Countries citing papers authored by Matthew A. Turk
This map shows the geographic impact of Matthew A. 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 A. 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 A. Turk more than expected).
Fields of papers citing papers by Matthew A. Turk
This network shows the impact of papers produced by Matthew A. 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 A. Turk. The network helps show where Matthew A. Turk may publish in the future.
Co-authorship network of co-authors of Matthew A. Turk
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Turk. A scholar is included among the top collaborators of Matthew A. 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 A. Turk. Matthew A. 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 | 3 | |
| 2 | 2 | |
| 3 | 277 | |
| 4 | 13 | |
| 5 | 4 |
About Matthew A. Turk
Matthew A. Turk is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering, having authored 5 papers that have together received 299 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Automotive Engineering (107 citations) and Aerospace Engineering (141 citations). Matthew A. Turk has collaborated with scholars based in United States, Mexico and Bangladesh. Frequent co-authors include David G. Morgenthaler, Keith Gremban, M. Marra, Joseph P. Robinson, Yun Fu, Can Qin, Ming Shao, Rama Chellappa, Yun Fu and Yu Yin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.