Rowan McAllister

1.3k total citations
12 papers, 386 citations indexed

About

Rowan McAllister is a scholar working on Artificial Intelligence, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Rowan McAllister has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Automotive Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Rowan McAllister's work include Autonomous Vehicle Technology and Safety (4 papers), Robotics and Sensor-Based Localization (3 papers) and Reinforcement Learning in Robotics (3 papers). Rowan McAllister is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Robotics and Sensor-Based Localization (3 papers) and Reinforcement Learning in Robotics (3 papers). Rowan McAllister collaborates with scholars based in United States, United Kingdom and Australia. Rowan McAllister's co-authors include Alex Kendall, Mark van der Wilk, Roberto Cipolla, Yarin Gal, Adrian Weller, Sergey Levine, Anoop Shah, Suneel Belkhale, Rachel Li and Gregory Kahn and has published in prestigious journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics and Apollo (University of Cambridge).

In The Last Decade

Rowan McAllister

11 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rowan McAllister United States	8	173	129	127	95	43	12	386
Peter Ondrúška United Kingdom	9	99 0.6×	188 1.5×	202 1.6×	73 0.8×	99 2.3×	13	429
Bruno Brito Netherlands	11	96 0.6×	138 1.1×	288 2.3×	169 1.8×	70 1.6×	17	420
Carmadi Machbub Indonesia	10	95 0.5×	54 0.4×	167 1.3×	81 0.9×	33 0.8×	82	407
Johann Edelbrunner Germany	7	60 0.3×	154 1.2×	216 1.7×	37 0.4×	22 0.5×	9	335
Xiaosong Jia China	6	151 0.9×	268 2.1×	263 2.1×	68 0.7×	48 1.1×	11	544
Dongchun Ren China	12	150 0.9×	255 2.0×	262 2.1×	69 0.7×	31 0.7×	26	499
Jürgen Wiest Germany	9	139 0.8×	274 2.1×	168 1.3×	79 0.8×	81 1.9×	12	456
Rohan Chandra United States	9	129 0.7×	67 0.5×	335 2.6×	55 0.6×	83 1.9×	19	493
Huilin Yin China	8	75 0.4×	136 1.1×	105 0.8×	88 0.9×	38 0.9×	38	308
Chonghao Sima China	4	98 0.6×	170 1.3×	232 1.8×	45 0.5×	52 1.2×	5	428

Countries citing papers authored by Rowan McAllister

Since Specialization

Citations

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

Fields of papers citing papers by Rowan McAllister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rowan McAllister

This figure shows the co-authorship network connecting the top 25 collaborators of Rowan McAllister. A scholar is included among the top collaborators of Rowan McAllister 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 Rowan McAllister. Rowan McAllister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Anguelov, Dragomir, Justin Fu, Rowan McAllister, et al.. (2023). Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. 7730–7742.

McAllister, Rowan, et al.. (2022). Control-Aware Prediction Objectives for Autonomous Driving. 2022 International Conference on Robotics and Automation (ICRA). 1–8. 8 indexed citations

Fan, Rui, Nemanja Djuric, Fisher Yu, Rowan McAllister, & Ioannis Pitas. (2021). Autonomous Vehicle Vision 2021: ICCV Workshop Summary. 3088–3095. 1 indexed citations

Belkhale, Suneel, Rachel Li, Gregory Kahn, et al.. (2021). Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. IEEE Robotics and Automation Letters. 6(2). 1471–1478. 67 indexed citations

Thananjeyan, Brijen, Ashwin Balakrishna, Ugo Rosolia, et al.. (2020). Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. IEEE Robotics and Automation Letters. 5(2). 3612–3619. 45 indexed citations

Thananjeyan, Brijen, Ashwin Balakrishna, Ugo Rosolia, et al.. (2019). Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations.. arXiv (Cornell University). 1 indexed citations

Rhinehart, Nicholas, Rowan McAllister, & Sergey Levine. (2018). Deep Imitative Models for Flexible Inference, Planning, and Control. arXiv (Cornell University). 19 indexed citations

McAllister, Rowan, Yarin Gal, Alex Kendall, et al.. (2017). Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. 4745–4753. 141 indexed citations

McAllister, Rowan, Yarin Gal, Alex Kendall, et al.. (2017). Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. Apollo (University of Cambridge). 66 indexed citations

10.

McAllister, Rowan & Carl Edward Rasmussen. (2017). Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs. Apollo (University of Cambridge). 30. 2040–2049. 10 indexed citations

11.

Peynot, Thierry, et al.. (2014). Learned Stochastic Mobility Prediction for Planning with Control Uncertainty on Unstructured Terrain. Journal of Field Robotics. 31(6). 969–995. 27 indexed citations

12.

McAllister, Rowan, Thierry Peynot, Robert Fitch, & Salah Sukkarieh. (2012). Motion planning and stochastic control with experimental validation on a planetary rover. QUT ePrints (Queensland University of Technology). 7. 4716–4723. 1 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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