Andrew Vardy

1.1k citations
63 papers · 690 · h-index 14

Impact in

Papers in

Andrew Vardy

60 papers receiving 672 citations

Peers

Andrew Vardy
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 392
  • Aerospace Engineering 353
  • Human-Computer Interaction 49
  • Ocean Engineering 133
  • Cellular and Molecular Neuroscience 64
Replace Ye-Sheng Kuo with:
Ye-Sheng Kuo United States
Javier González Spain
Yan Qiu Chen China
Jorge Lobo Portugal
Kenichi Ohara Japan
Sai Huang China
Guilherme N. DeSouza United States
Abduladhem A. Ali Iraq
Elmar Mair Germany
Stéphane Doncieux France
Andrew Vardy relative to Ye-Sheng Kuo United States Ye-Sheng Kuo's profile →
Citations per field
00.5×3.2×
Ye-Sheng Kuo · 1×
Citations per year

Countries citing papers authored by Andrew Vardy

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Vardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Vardy, 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 Andrew Vardy Line = papers co-authored together Andrew Vardy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200594
2 200683
3 201445
4 200341
5 200730
6 200630
7 201225
8 201123
9 200822
10 201621
11 201915
12 201815
13 201513
14 202013
15
Comparison of feature detection techniques for AUV navigation along a trained route
201313
16 201813
17 201412
18 201411
19 202110
20 201210

About Andrew Vardy

Andrew Vardy is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ocean Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 63 papers that have together received 690 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (28 papers), Modular Robots and Swarm Intelligence (18 papers), Underwater Vehicles and Communication Systems (16 papers), Robotic Path Planning Algorithms (14 papers), Distributed Control Multi-Agent Systems (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Advanced Vision and Imaging (10 papers) and Indoor and Outdoor Localization Technologies (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Aerospace Engineering (353 citations), Human-Computer Interaction (49 citations), Ocean Engineering (133 citations) and Cellular and Molecular Neuroscience (64 citations). Andrew Vardy has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Ralf Möller, David G. Churchill, Daniel Cook, Li-Te Cheng, George K. I. Mann, John A. Robinson, Raymond G. Gosine, Yuanzhu Chen, Octavia A. Dobre and Alexander L. Forrest. Their work appears in journals such as Journal of Intelligent & Robotic Systems, Swarm Intelligence, Connection Science, HardwareX and ACM Transactions on Autonomous and Adaptive Systems.

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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