Liam Paull
Impact in
- Ocean Engineering top 0.2%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotic Path Planning Algorithms 23
- Advanced Image and Video Retrieval Techniques 8
- Advanced Neural Network Applications 6
-
- Robotics and Sensor-Based Localization 32
- Co-authors
- Howard Li (19 shared papers)Mae Seto (13 shared papers)Sajad Saeedi (12 shared papers)John J. Leonard (8 shared papers)Daniela Rus (6 shared papers)Michael Trentini (10 shared papers)Liuchen Chang (4 shared papers)Guoquan Huang (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (5 papers)Machine Learning (2 papers)IEEE Robotics & Automation Magazine (2 papers)Robotics and Autonomous Systems (1 paper)Electric Power Systems Research (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Liam Paull
60 papers receiving 2.5k citations
Liam Paull's Hit Papers
Peers
Comparison fields: 5 of 92
- Ocean Engineering 1.3k
- Aerospace Engineering 1.2k
- Computer Vision and Pattern Recognition 914
- Oceanography 402
- Control and Systems Engineering 378
Countries citing papers authored by Liam Paull
This map shows the geographic impact of Liam Paull'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 Liam Paull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Paull more than expected).
Fields of papers citing papers by Liam Paull
This network shows the impact of papers produced by Liam Paull. 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 Liam Paull. The network helps show where Liam Paull may publish in the future.
Co-authors
The 25 scholars most cited alongside Liam Paull, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AUV Navigation and Localization: A Review Hit paper breakdown → | 2014 | 1118 |
| 2 | 2012 | 105 | |
| 3 | ConceptFusion: Open-set multimodal 3D mapping Hit paper breakdown → | 2023 | 100 |
| 4 | 2018 | 95 | |
| 5 | 2017 | 88 | |
| 6 | 2010 | 82 | |
| 7 | 2015 | 80 | |
| 8 | ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning Hit paper breakdown → | 2024 | 77 |
| 9 | 2010 | 74 | |
| 10 | 2014 | 62 | |
| 11 | 2016 | 56 | |
| 12 | 2011 | 51 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 36 | |
| 15 | 2016 | 32 | |
| 16 | 2012 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2011 | 27 | |
| 19 | 2012 | 26 | |
| 20 | 2017 | 25 |
About Liam Paull
Liam Paull is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Ocean Engineering, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (32 papers), Robotic Path Planning Algorithms (23 papers), Underwater Vehicles and Communication Systems (12 papers), Indoor and Outdoor Localization Technologies (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Ocean Engineering (1.3k citations), Aerospace Engineering (1.2k citations), Computer Vision and Pattern Recognition (914 citations), Oceanography (402 citations) and Control and Systems Engineering (378 citations). Liam Paull has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Howard Li, Mae Seto, Sajad Saeedi, John J. Leonard, Daniela Rus, Michael Trentini, Liuchen Chang, Guoquan Huang, Sertaç Karaman and Hong Li. Their work appears in journals such as IEEE Robotics and Automation Letters, Machine Learning, IEEE Robotics & Automation Magazine, Robotics and Autonomous Systems and Electric Power Systems Research.
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.