Liam Paull

56 papers and 1.9k indexed citations i.

About

Liam Paull is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Liam Paull has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Liam Paull’s work include Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (19 papers) and Underwater Vehicles and Communication Systems (9 papers). Liam Paull is often cited by papers focused on Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (19 papers) and Underwater Vehicles and Communication Systems (9 papers). Liam Paull collaborates with scholars based in Canada, United States and Algeria. Liam Paull's co-authors include Howard Li, Mae Seto, Sajad Saeedi, John J. Leonard, Daniela Rus, Michael Trentini, Liuchen Chang, Guoquan Huang, Hong Li and Sertaç Karaman and has published in prestigious journals such as IEEE Transactions on Cybernetics, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Liam Paull i

Fields of papers citing papers by Liam Paull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Liam Paull

Since Specialization
Citations

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).

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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2025