Luke Taylor
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Plant Science
- Industrial and Manufacturing Engineering top 10%
- Topics
- Advanced Neural Network Applications (1 paper)Machine Learning and Data Classification (1 paper)Domain Adaptation and Few-Shot Learning (1 paper)
- Journals
- Earth s Future
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Luke Taylor
2 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 129
- Radiology, Nuclear Medicine and Imaging 52
- Plant Science 40
- Industrial and Manufacturing Engineering 37
Countries citing papers authored by Luke Taylor
This map shows the geographic impact of Luke Taylor'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 Luke Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Taylor more than expected).
Fields of papers citing papers by Luke Taylor
This network shows the impact of papers produced by Luke Taylor. 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 Luke Taylor. The network helps show where Luke Taylor may publish in the future.
Co-authorship network of co-authors of Luke Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Luke Taylor. A scholar is included among the top collaborators of Luke Taylor 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 Luke Taylor. Luke Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Improving Deep Learning with Generic Data Augmentationbreakdown → | 446 |
About Luke Taylor
Luke Taylor is a scholar working on Earth-Surface Processes, Computer Vision and Pattern Recognition and Ecology, having authored 2 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (1 paper), Machine Learning and Data Classification (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Artificial Intelligence (129 citations) and Media Technology (33 citations). Luke Taylor has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Geoff Nitschke, Evan B. Goldstein and Eli D. Lazarus. Their work appears in journals such as Earth s Future.
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.