Stephanie Lowry

1.4k total citations · 1 hit paper
20 papers, 891 citations indexed

About

Stephanie Lowry is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Stephanie Lowry has authored 20 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aerospace Engineering, 16 papers in Computer Vision and Pattern Recognition and 4 papers in Environmental Engineering. Recurrent topics in Stephanie Lowry's 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). Stephanie Lowry is often cited by papers focused on Robotics and Sensor-Based Localization (17 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Indoor and Outdoor Localization Technologies (4 papers). Stephanie Lowry collaborates with scholars based in Australia, Sweden and United States. Stephanie Lowry's 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 and has published in prestigious journals such as Sensors, Neural Networks and IEEE Transactions on Robotics.

In The Last Decade

Stephanie Lowry

20 papers receiving 868 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Visual Place Recognition: A Survey

2015 692 citations Stephanie Lowry, Niko Sünderhauf et al. IEEE Transactions on Robotics profile →

Peers

Stephanie Lowry

CVPR

EEE

GEOLO

Muhamad Risqi U. Saputra United Kingdom

Ethan Eade United Kingdom

Pedro Piniés Spain

Loukas Bampis Greece

Lina María Paz Spain

Hernán Badino United States

Sareh Shirazi Australia

Bernd Kitt Germany

Pratik Agarwal Germany

Titus Cieslewski Switzerland

Muhamad Risqi U. Saputra United Kingdom

Stephanie Lowry

522 ×0.7

527 ×0.7

CVPR

163 ×0.6

EEE

127 ×1.5

GEOLO

47 ×0.8

Citations per year, relative to Stephanie Lowry Stephanie Lowry (= 1×) peers Muhamad Risqi U. Saputra

Countries citing papers authored by Stephanie Lowry

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Gordon, Katherine R., Dawna E. Lewis, Stephanie Lowry, et al.. (2024). Remote Microphones Support Speech Recognition in Noise and Reverberation for Children With a Language Disorder. Language Speech and Hearing Services in Schools. 56(1). 225–233. 1 indexed citations

Kurtser, Polina & Stephanie Lowry. (2023). RGB-D datasets for robotic perception in site-specific agricultural operations—A survey. Computers and Electronics in Agriculture. 212. 108035–108035. 9 indexed citations

Norinder, Ulf & Stephanie Lowry. (2023). Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction. Remote Sensing Letters. 14(10). 1021–1033. 2 indexed citations

Andreasson, Henrik, et al.. (2022). A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization. Sensors. 22(7). 2588–2588. 3 indexed citations

Lowry, Stephanie, et al.. (2019). A Submap per Perspective - Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. Örebro University Library (Örebro University). 1–7. 4 indexed citations

Lowry, Stephanie. (2019). Similarity criteria: evaluating perceptual change for visual localization. Örebro University Library (Örebro University). 1–6. 2 indexed citations

Lowry, Stephanie & Henrik Andreasson. (2018). Lightweight, Viewpoint-Invariant Visual Place Recognition in Changing Environments. IEEE Robotics and Automation Letters. 3(2). 957–964. 27 indexed citations

Lowry, Stephanie, et al.. (2018). Improving Localisation Accuracy using Submaps in warehouses. Örebro University Library (Örebro University). 2 indexed citations

Lowry, Stephanie & Henrik Andreasson. (2018). LOGOS: Local Geometric Support for High-Outlier Spatial Verification. 7262–7269. 7 indexed citations

10.

Lowry, Stephanie & Henrik Andreasson. (2016). Visual place recognition techniques for pose estimation in changing environments. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations

11.

Lowry, Stephanie & Michael Milford. (2016). Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments. IEEE Transactions on Robotics. 32(3). 600–613. 37 indexed citations

12.

Chen, Zetao, Stephanie Lowry, Adam Jacobson, Michael E. Hasselmo, & Michael Milford. (2015). Bio-inspired homogeneous multi-scale place recognition. Neural Networks. 72. 48–61. 10 indexed citations

13.

Milford, Michael, Stephanie Lowry, Niko Sünderhauf, et al.. (2015). Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 18–25. 28 indexed citations

14.

Chen, Zetao, Stephanie Lowry, Adam Jacobson, Zongyuan Ge, & Michael Milford. (2015). Distance metric learning for feature-agnostic place recognition. 2556–2563. 10 indexed citations

15.

Lowry, Stephanie, Niko Sünderhauf, Paul Newman, et al.. (2015). Visual Place Recognition: A Survey. IEEE Transactions on Robotics. 32(1). 1–19. 692 indexed citations breakdown →

16.

Lowry, Stephanie & Michael Milford. (2015). Building beliefs: Unsupervised generation of observation likelihoods for probabilistic localization in changing environments. 3071–3078. 4 indexed citations

17.

Lowry, Stephanie, Gordon Wyeth, & Michael Milford. (2014). Unsupervised online learning of condition-invariant images for place recognition. QUT ePrints (Queensland University of Technology). 7 indexed citations

18.

Lowry, Stephanie, Michael Milford, & Gordon Wyeth. (2014). Transforming morning to afternoon using linear regression techniques. 3950–3955. 30 indexed citations

19.

Lowry, Stephanie, Gordon Wyeth, & Michael Milford. (2014). Towards training-free appearance-based localization: Probabilistic models for whole-image descriptors. 25. 711–717. 13 indexed citations

20.

Lowry, Stephanie, Gordon Wyeth, & Michael Milford. (2013). Training-free probability models for whole-image based place recognition. QUT ePrints (Queensland University of Technology). 1 indexed citations

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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