Liam Paull

4.3k total citations · 3 hit papers
64 papers, 2.6k citations indexed

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 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 35 papers in Aerospace Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Liam Paull's work include Robotics and Sensor-Based Localization (32 papers), Robotic Path Planning Algorithms (23 papers) and Underwater Vehicles and Communication Systems (12 papers). Liam Paull is often cited by papers focused on Robotics and Sensor-Based Localization (32 papers), Robotic Path Planning Algorithms (23 papers) and Underwater Vehicles and Communication Systems (12 papers). Liam Paull collaborates with scholars based in Canada, United States and Switzerland. Liam Paull's 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 and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Liam Paull

60 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AUV Navigation and Localization: A Review

2014 1.1k citations Liam Paull, Sajad Saeedi et al. profile →
ConceptFusion: Open-set multimodal 3D mapping

2023 100 citations Krishna Murthy Jatavallabhula, Qiao Gu et al. profile →
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning

2024 77 citations Qiao Gu, Krishna Murthy Jatavallabhula et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Liam Paull Canada	22	1.3k	1.2k	914	699	479	64	2.6k
Jinwhan Kim South Korea	24	1.2k 0.9×	656 0.6×	515 0.6×	276 0.4×	252 0.5×	162	2.0k
Brendan Englot United States	23	629 0.5×	3.5k 3.1×	2.3k 2.5×	744 1.1×	399 0.8×	73	4.4k
Daniel Toal Ireland	21	891 0.7×	563 0.5×	498 0.5×	367 0.5×	174 0.4×	136	1.9k
Hordur Johannsson United States	14	526 0.4×	2.1k 1.8×	1.4k 1.6×	534 0.8×	244 0.5×	24	2.5k
Jesús Ureña Spain	26	747 0.6×	482 0.4×	285 0.3×	1.9k 2.7×	196 0.4×	209	2.6k
John Folkesson Sweden	21	299 0.2×	1.0k 0.9×	875 1.0×	270 0.4×	234 0.5×	80	1.6k
Bo Xu China	24	518 0.4×	620 0.5×	127 0.1×	690 1.0×	678 1.4×	116	2.0k
Guoquan Huang United States	33	460 0.4×	3.5k 3.0×	2.1k 2.3×	1.3k 1.9×	495 1.0×	131	4.0k
Anı́bal Matos Portugal	21	1.1k 0.8×	589 0.5×	367 0.4×	303 0.4×	240 0.5×	137	1.6k
Jacques Georgy Canada	18	329 0.3×	1.1k 0.9×	275 0.3×	848 1.2×	563 1.2×	71	1.7k

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).

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.

Co-authorship network of co-authors of Liam Paull

This figure shows the co-authorship network connecting the top 25 collaborators of Liam Paull. A scholar is included among the top collaborators of Liam Paull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liam Paull. Liam Paull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Paull, Liam, et al.. (2025). Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments. 13843–13850.

2.

Rowe, L. D., et al.. (2025). Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. PolyPublie (École Polytechnique de Montréal). 17207–17218.

3.

Betz, Johannes, Sean Wilson, Spring Berman, et al.. (2024). A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed [Survey]. IEEE Robotics & Automation Magazine. 32(3). 146–163. 2 indexed citations

4.

Zhang, Tianyu, et al.. (2023). Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning. 113(8). 5203–5234. 4 indexed citations

5.

Jatavallabhula, Krishna Murthy, Qiao Gu, Ganesh Iyer, et al.. (2023). ConceptFusion: Open-set multimodal 3D mapping. 100 indexed citations breakdown →

6.

Fevens, Thomas, et al.. (2021). Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. 72–78. 2 indexed citations

7.

Che, Tong, Ruixiang Zhang, Jascha Sohl‐Dickstein, et al.. (2020). Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. arXiv (Cornell University). 33. 12275–12287. 3 indexed citations

8.

Banerjee, Rohan, et al.. (2019). MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics and Automation Letters. 5(2). 556–563. 15 indexed citations

9.

Seo, Keehong, et al.. (2019). Deep Active Localization. IEEE Robotics and Automation Letters. 4(4). 4394–4401. 27 indexed citations

10.

Jatavallabhula, Krishna Murthy, et al.. (2019). gradSLAM: Dense SLAM meets Automatic Differentiation. arXiv (Cornell University). 9 indexed citations

11.

Kamel, Mina, et al.. (2018). Local Positioning System Using UWB Range Measurements for an Unmanned Blimp. IEEE Robotics and Automation Letters. 3(4). 2971–2978. 19 indexed citations

12.

Paull, Liam, et al.. (2018). Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps. 2040–2047. 95 indexed citations

13.

Schwarting, Wilko, Javier Alonso–Mora, Liam Paull, Sertaç Karaman, & Daniela Rus. (2017). Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. IEEE Transactions on Intelligent Transportation Systems. 19(9). 2994–3008. 88 indexed citations

14.

Paull, Liam, Mae Seto, John J. Leonard, & Howard Li. (2017). Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. The International Journal of Robotics Research. 37(1). 21–45. 25 indexed citations

15.

Pendleton, Scott, Hans Andersen, Wilko Schwarting, et al.. (2017). A parallel autonomy research platform. 933–940. 21 indexed citations

16.

Liu, Shih‐Yuan, et al.. (2016). SLAM with objects using a nonparametric pose graph. 4602–4609. 56 indexed citations

17.

Saeedi, Sajad, Liam Paull, Michael Trentini, & Howard Li. (2011). Multiple robot simultaneous localization and mapping. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3 indexed citations

18.

Saeedi, Sajad, Liam Paull, Michael Trentini, & Hong Li. (2011). Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. IEEE Transactions on Neural Networks. 22(12). 2376–2387. 51 indexed citations

19.

Li, Howard, Yi Fu, Khalid Elgazzar, & Liam Paull. (2009). Path planning for multiple Unmanned Aerial Vehicles using genetic algorithms. 1129–1132. 3 indexed citations

20.

Paull, Liam, Howard Li, & Liuchen Chang. (2008). The development of a fuzzy neural system for load forecasting. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 923–926. 2 indexed citations

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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