Will Maddern

3.7k citations
21 papers · 1.9k · 1 hit paper · h-index 17

Impact in

Papers in

Will Maddern

21 papers receiving 1.8k citations

Will Maddern's Hit Papers

1 year, 1000 km: The Oxford RobotCar dataset 2016 · 1.0k citations
1.0k0+3+6Years since publication2505007501000

Peers

Will Maddern
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 1.4k
  • Aerospace Engineering 1.2k
  • Geology 270
  • Automotive Engineering 239
  • Instrumentation 69
Replace Geoffrey Pascoe with:
Geoffrey Pascoe United Kingdom
Lionel Heng Switzerland
Frank Moosmann Germany
K. Madhava Krishna India
Hernán Badino United States
Xieyuanli Chen China
Oleg Naroditsky United States
Yuxing Mao China
Jason S. Ku United States
Hans‐Joachim Wuensche Germany
Will Maddern relative to Geoffrey Pascoe United Kingdom Geoffrey Pascoe's profile →
Citations per field
00.5×1.5×2.5×
Geoffrey Pascoe · 1×
Citations per year

Countries citing papers authored by Will Maddern

Since Specialization
Citations

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

Fields of papers citing papers by Will Maddern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Will Maddern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Maddern Line = papers co-authored together Will Maddern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
1 year, 1000 km: The Oxford RobotCar dataset
Hit paper breakdown →
20161047
2 2020122
3 201494
4 201280
5 201672
6 201266
7
Adversarial training for adverse conditions: Robust metric localisation using appearance transfer
201861
8 201546
9 201840
10 201739
11 201531
12 201530
13 201527
14 201124
15 201824
16 201424
17 201422
18 201212
19 20135
20 20244

About Will Maddern

Will Maddern is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (8 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Neural Network Applications (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Aerospace Engineering (1.2k citations), Geology (270 citations), Automotive Engineering (239 citations) and Instrumentation (69 citations). Will Maddern has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Paul Newman, Geoffrey Pascoe, Michael Milford, Gordon Wyeth, Alexander D. Stewart, Winston Churchill, Colin McManus, Alastair Harrison, Dan Barnes and Ingmar Posner. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, Oxford University Research Archive (ORA) (University of Oxford) and The MIT Press eBooks.

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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