Will Maddern

3.6k citations
19 papers · 1.7k · 1 hit paper · h-index 17

Impact in

Papers in

Will Maddern

19 papers receiving 1.7k citations

Hit Papers

1 year, 1000 km: The Oxford RobotCar dataset 2016 · 962 citations
9620+3+6Years since publication250500750

Peers

Will Maddern
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 1.3k
  • Geology 254
  • Aerospace Engineering 1.1k
  • Instrumentation 66
  • Automotive Engineering 219
Replace Jiajun Deng with:
Jiajun Deng China
Frank Moosmann Germany
Geoffrey Pascoe United Kingdom
Lionel Heng Switzerland
Luciano Spinello Germany
K. Madhava Krishna India
Oleg Naroditsky United States
Yuxing Mao China
Xieyuanli Chen China
Jason S. Ku United States
Will Maddern relative to Jiajun Deng China Jiajun Deng's profile →
Citations per field
00.5×10×20×30×40×47×
Jiajun Deng · 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

19 of 19 papers shown
#Work
1
1 year, 1000 km: The Oxford RobotCar dataset
Hit paper breakdown →
2016962
2 2020113
3 201489
4 201274
5 201666
6 201261
7
Adversarial training for adverse conditions: Robust metric localisation using appearance transfer
201856
8 201544
9 201739
10 201837
11 201529
12 201527
13 201526
14 201824
15 201123
16 201422
17 201420
18 201211
19 20244

About Will Maddern

Will Maddern is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Automotive Engineering and Instrumentation, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Advanced Optical Sensing Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Geology (254 citations), Aerospace Engineering (1.1k citations), Instrumentation (66 citations) and Automotive Engineering (219 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, Colin McManus, Winston Churchill, 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 and Oxford University Research Archive (ORA) (University of Oxford).

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.

Explore authors with similar magnitude of impact