Geoffrey Pascoe

2.0k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Geoffrey Pascoe is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Geoffrey Pascoe has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Environmental Engineering. Recurrent topics in Geoffrey Pascoe's work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Geoffrey Pascoe is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Geoffrey Pascoe collaborates with scholars based in United Kingdom, Australia and Israel. Geoffrey Pascoe's co-authors include Paul Newman, Will Maddern, Ingmar Posner, Dan Barnes, Michael Tanner, Pedro Piniés, Alexander D. Stewart, Bernd Meyer, Daniel DeTone and Tanner Schmidt and has published in prestigious journals such as PLoS ONE, The International Journal of Robotics Research and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Geoffrey Pascoe

9 papers receiving 1.2k 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.

1 year, 1000 km: The Oxford RobotCar dataset

2016 962 citations Will Maddern, Geoffrey Pascoe et al. The International Journal of Robotics Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geoffrey Pascoe United Kingdom	9	861	739	193	183	176	9	1.2k
Paulo Borges Australia	17	881 1.0×	516 0.7×	152 0.8×	192 1.0×	96 0.5×	65	1.2k
Will Maddern United Kingdom	17	1.3k 1.5×	1.1k 1.5×	254 1.3×	274 1.5×	219 1.2×	19	1.7k
Frank Moosmann Germany	11	961 1.1×	717 1.0×	234 1.2×	169 0.9×	283 1.6×	14	1.5k
Cédric Demonceaux France	20	1.0k 1.2×	715 1.0×	122 0.6×	123 0.7×	88 0.5×	89	1.3k
Shenghai Yuan Singapore	21	645 0.7×	740 1.0×	173 0.9×	261 1.4×	116 0.7×	75	1.2k
Michael Ruhnke Germany	13	601 0.7×	777 1.1×	209 1.1×	226 1.2×	63 0.4×	20	925
Michel Devy France	20	776 0.9×	657 0.9×	191 1.0×	157 0.9×	45 0.3×	113	1.2k
Adam Herout Czechia	20	1.0k 1.2×	312 0.4×	95 0.5×	89 0.5×	259 1.5×	74	1.4k
Bastian Steder Germany	17	911 1.1×	1.2k 1.6×	385 2.0×	295 1.6×	84 0.5×	23	1.4k
Jason S. Ku United States	10	1.3k 1.5×	747 1.0×	188 1.0×	64 0.3×	291 1.7×	26	1.7k

Countries citing papers authored by Geoffrey Pascoe

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Pascoe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Pascoe

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

DeTone, Daniel, Geoffrey Pascoe, Tanner Schmidt, et al.. (2022). Feature Query Networks: Neural Surface Description for Camera Pose Refinement. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5067–5077. 9 indexed citations

2.

Barnes, Dan, Will Maddern, Geoffrey Pascoe, & Ingmar Posner. (2018). Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. 1894–1900. 37 indexed citations

3.

Pascoe, Geoffrey, Will Maddern, Michael Tanner, Pedro Piniés, & Paul Newman. (2017). NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance. 1446–1455. 39 indexed citations

4.

Maddern, Will, et al.. (2016). 1 year, 1000 km: The Oxford RobotCar dataset. The International Journal of Robotics Research. 36(1). 3–15. 962 indexed citations breakdown →

5.

Pascoe, Geoffrey, et al.. (2015). Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments. 98–105. 39 indexed citations

6.

Pascoe, Geoffrey, Will Maddern, Alexander D. Stewart, & Paul Newman. (2015). FARLAP: Fast robust localisation using appearance priors. 29 indexed citations

7.

Maddern, Will, Geoffrey Pascoe, & Paul Newman. (2015). Leveraging experience for large-scale LIDAR localisation in changing cities. 1684–1691. 44 indexed citations

8.

Pascoe, Geoffrey, Will Maddern, & Paul Newman. (2015). Robust Direct Visual Localisation using Normalised Information Distance. 70.1–70.13. 26 indexed citations

9.

Meyer, Bernd, et al.. (2014). Multiscale Modelling and Analysis of Collective Decision Making in Swarm Robotics. PLoS ONE. 9(11). e111542–e111542. 18 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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