Laura Smith

603 total citations
13 papers, 201 citations indexed

About

Laura Smith is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Laura Smith has authored 13 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Laura Smith's work include Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (2 papers) and Robotic Path Planning Algorithms (2 papers). Laura Smith is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (2 papers) and Robotic Path Planning Algorithms (2 papers). Laura Smith collaborates with scholars based in United Kingdom, United States and Australia. Laura Smith's co-authors include C Pycock, Sergey Levine, Ilya Kostrikov, Xue Bin Peng, Sehoon Ha, Jie Tan, Elizabeth Coulthard, Rafał Bogacz, Alan Whone and Demitra Tsivos and has published in prestigious journals such as Journal of Neurochemistry, British Journal of Pharmacology and Psychopharmacology.

In The Last Decade

Laura Smith

11 papers receiving 198 citations

Peers

Laura Smith

CMN

BE

CN

AI

CSE

Guillaume Becq France

Xingyu Chen China

Ana Patrícia Rocha Portugal

Qi Fang China

Chen Xiu China

Milad Lankarany Canada

Manqing Wang China

Anirban Nandi United States

Gert Van Dijck Belgium

Andres Agudelo-Toro Germany

Guillaume Becq France

Laura Smith

45 ×1.0

CMN

65 ×1.6

BE

188 ×4.9

CN

18 ×0.5

AI

26 ×0.8

CSE

Citations per year, relative to Laura Smith Laura Smith (= 1×) peers Guillaume Becq

Countries citing papers authored by Laura Smith

Since Specialization

Citations

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

Fields of papers citing papers by Laura Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Smith

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

All Works

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13 of 13 papers shown

1.

Smith, Laura, et al.. (2025). Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. 12826–12833. 1 indexed citations

2.

Nasiriany, Soroush, Sean Kirmani, Tianli Ding, et al.. (2025). RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. 8249–8257.

3.

Smith, Laura, et al.. (2024). Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. 10829–10836. 5 indexed citations

4.

Arun, Tarunya, et al.. (2024). Treatment continuation with cladribine at 5 years after initiation in people with multiple sclerosis: A case series and literature review. Multiple Sclerosis and Related Disorders. 90. 105837–105837. 2 indexed citations

5.

Smith, Laura, Ilya Kostrikov, & Sergey Levine. (2023). Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. 29 indexed citations

6.

Smith, Laura, et al.. (2023). Possible Toxin Induced Acute Necrotising Encephalitis (ANE) With Secondary Vasculopathy and Paroxysmal Autonomic Instability With Dystonia (PAID) Syndrome. Cureus. 15(12). e50100–e50100.

7.

Smith, Laura, et al.. (2022). Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. 2022 International Conference on Robotics and Automation (ICRA). 1593–1599. 55 indexed citations

8.

Lee, Kimin, Laura Smith, Anca D. Dragan, & Pieter Abbeel. (2021). B-Pref: Benchmarking Preference-Based Reinforcement Learning. arXiv (Cornell University). 3 indexed citations

9.

Knight, Lisa E., et al.. (2018). Effects of Parkinson’s disease and dopamine on digit span measures of working memory. Psychopharmacology. 235(12). 3443–3450. 22 indexed citations

10.

Tsivos, Demitra, et al.. (2017). . Explore Bristol Research. 37 indexed citations

11.

Beliakov, Gleb, Simon James, Laura Smith, & Tim Wilkin. (2015). Biased experts and similarity based weights in preferences aggregation. Advances in intelligent systems research. 2 indexed citations

12.

Pycock, C & Laura Smith. (1983). Interactions of dopamine and the release of [³H]‐taurine and [³H]‐glycine from the isolated retina of the rat. British Journal of Pharmacology. 78(2). 395–404. 22 indexed citations

13.

Smith, Laura & C Pycock. (1982). Potassium‐Stimulated Release of Radiolabelled Taurine and Glycine from the Isolated Rat Retina. Journal of Neurochemistry. 39(3). 653–658. 23 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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