Edward Pepperell

631 total citations
9 papers, 417 citations indexed

About

Edward Pepperell is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Edward Pepperell has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Edward Pepperell's work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). Edward Pepperell is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). Edward Pepperell collaborates with scholars based in Australia and United States. Edward Pepperell's co-authors include Michael Milford, Peter Corke, Ben Upcroft, Sareh Shirazi, Adam Jacobson, Niko Suenderhauf, Feras Dayoub, Niko Sünderhauf, Chunhua Shen and César Cadena and has published in prestigious journals such as The International Journal of Robotics Research, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and International Conference on Robotics and Automation.

In The Last Decade

Edward Pepperell

9 papers receiving 411 citations

Peers

Edward Pepperell

CVPR

AE

EEE

GEOLO

OE

Adrien Angeli United Kingdom

Colin McManus United Kingdom

Gabriele Berton Italy

C. Mei United Kingdom

Mathias Bürki Switzerland

Georges Baatz Switzerland

Nathan Piasco France

Alejo Concha Spain

Pyojin Kim South Korea

Erik Ringaby Sweden

Adrien Angeli United Kingdom

Edward Pepperell

477 ×1.2

CVPR

490 ×1.3

AE

106 ×0.8

EEE

63 ×2.0

GEOLO

28 ×1.6

OE

Citations per year, relative to Edward Pepperell Edward Pepperell (= 1×) peers Adrien Angeli

Countries citing papers authored by Edward Pepperell

Since Specialization

Citations

This map shows the geographic impact of Edward Pepperell'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 Edward Pepperell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Pepperell more than expected).

Fields of papers citing papers by Edward Pepperell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Pepperell. 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 Edward Pepperell. The network helps show where Edward Pepperell may publish in the future.

Co-authorship network of co-authors of Edward Pepperell

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Pepperell. A scholar is included among the top collaborators of Edward Pepperell 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 Edward Pepperell. Edward Pepperell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Pepperell, Edward, Peter Corke, & Michael Milford. (2016). Routed roads: Probabilistic vision-based place recognition for changing conditions, split streets and varied viewpoints. The International Journal of Robotics Research. 35(9). 1057–1179. 22 indexed citations

2.

Glover, Arren, Edward Pepperell, Gordon Wyeth, Ben Upcroft, & Michael Milford. (2015). Repeatable condition-invariant visual odometry for sequence-based place recognition. QUT ePrints (Queensland University of Technology). 1 indexed citations

3.

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

4.

Pepperell, Edward, Peter Corke, & Michael Milford. (2015). Automatic image scaling for place recognition in changing environments. 1118–1124. 9 indexed citations

5.

Suenderhauf, Niko, Sareh Shirazi, Adam Jacobson, et al.. (2015). Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. QUT ePrints (Queensland University of Technology). 252 indexed citations

6.

Pepperell, Edward, Peter Corke, & Michael Milford. (2014). Towards Vision-Based Pose- and Condition-Invariant Place Recognition along Routes. QUT ePrints (Queensland University of Technology). 4 indexed citations

7.

Milford, Michael, Jennifer Firn, James R. Beattie, et al.. (2014). Automated sensory data alignment for environmental and epidermal change monitoring. USC Research Bank (University of the Sunshine Coast). 273–282. 3 indexed citations

8.

Pepperell, Edward, Peter Corke, & Michael Milford. (2014). All-environment visual place recognition with SMART. 83 indexed citations

9.

Pepperell, Edward, Peter Corke, & Michael Milford. (2013). Towards persistent visual navigation using SMART. International Conference on Robotics and Automation. 92(3). 213–8. 15 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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