Stephanie Lowry
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering
- Geology top 5%
- Ocean Engineering top 10%
- Co-authors
- Michael MilfordNiko SünderhaufPeter CorkePaul NewmanDavid CoxJohn J. LeonardHenrik AndreassonGordon Wyeth
- Topics
- Robotics and Sensor-Based Localization (17 papers)Advanced Image and Video Retrieval Techniques (12 papers)Indoor and Outdoor Localization Technologies (4 papers)
- Partner nations
- AustraliaSwedenUnited States
In The Last Decade
Stephanie Lowry
20 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Aerospace Engineering 739
- Computer Vision and Pattern Recognition 704
- Electrical and Electronic Engineering 289
- Geology 83
- Ocean Engineering 56
Countries citing papers authored by Stephanie Lowry
This map shows the geographic impact of Stephanie Lowry'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 Stephanie Lowry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Lowry more than expected).
Fields of papers citing papers by Stephanie Lowry
This network shows the impact of papers produced by Stephanie Lowry. 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 Stephanie Lowry. The network helps show where Stephanie Lowry may publish in the future.
Co-authorship network of co-authors of Stephanie Lowry
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Lowry. A scholar is included among the top collaborators of Stephanie Lowry 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 Stephanie Lowry. Stephanie Lowry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | Improving Localisation Accuracy using Submaps in warehouses | 2 |
| 9 | 7 | |
| 10 | Visual place recognition techniques for pose estimation in changing environments | 2 |
| 11 | 37 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 10 | |
| 15 | Visual Place Recognition: A Surveybreakdown → | 692 |
| 16 | 4 | |
| 17 | Unsupervised online learning of condition-invariant images for place recognition | 7 |
| 18 | 30 | |
| 19 | 13 | |
| 20 | Training-free probability models for whole-image based place recognition | 1 |
About Stephanie Lowry
Stephanie Lowry is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering, having authored 20 papers that have together received 891 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (704 citations), Aerospace Engineering (739 citations) and Geology (83 citations). Stephanie Lowry has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Michael Milford, Niko Sünderhauf, Peter Corke, Paul Newman, David Cox, John J. Leonard, Henrik Andreasson, Gordon Wyeth, Polina Kurtser and Adam Jacobson. Their work appears in journals such as Sensors, Neural Networks and IEEE Transactions on Robotics.
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.