Aurelia Guy

1.7k total citations
2 papers, 58 citations indexed

About

Aurelia Guy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Aurelia Guy has authored 2 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 0 papers in Infectious Diseases. Recurrent topics in Aurelia Guy's work include Reinforcement Learning in Robotics (1 paper), Adaptive Dynamic Programming Control (1 paper) and Evolutionary Algorithms and Applications (1 paper). Aurelia Guy is often cited by papers focused on Reinforcement Learning in Robotics (1 paper), Adaptive Dynamic Programming Control (1 paper) and Evolutionary Algorithms and Applications (1 paper). Aurelia Guy collaborates with scholars based in United States. Aurelia Guy's co-authors include Benjamin Recht, Horia Mania, Erich Elsen, Jordan Hoffmann, Simon Osindero, Trevor Cai and Johannes Welbl and has published in prestigious journals such as Neural Information Processing Systems.

In The Last Decade

Aurelia Guy

1 paper receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aurelia Guy United States	1	39	14	13	8	7	2	58
Hubert Zarzycki Poland	5	49 1.3×	28 2.0×	11 0.8×	7 0.9×	7 1.0×	8	75
Jack Parker-Holder United Kingdom	4	60 1.5×	16 1.1×	10 0.8×	7 0.9×	5 0.7×	11	78
Dawid Ewald Poland	5	47 1.2×	24 1.7×	6 0.5×	8 1.0×	10 1.4×	8	69
Léonard Hussenot United States	4	40 1.0×	4 0.3×	10 0.8×	5 0.6×	3 0.4×	5	50
Stefan Depeweg Germany	4	60 1.5×	5 0.4×	14 1.1×	7 0.9×	3 0.4×	7	84
Daniel W. Stouch United States	5	21 0.5×	15 1.1×	4 0.3×	5 0.6×	12 1.7×	7	52
Alla Kammerdiner United States	4	13 0.3×	7 0.5×	4 0.3×	5 0.6×	8 1.1×	15	41
Michel Tokic Germany	5	25 0.6×	4 0.3×	13 1.0×	3 0.4×	6 0.9×	9	42
D. Jovanovic Netherlands	5	17 0.4×	30 2.1×	13 1.0×	8 1.0×	6 0.9×	25	73
Ted Xiao United States	3	30 0.8×	12 0.9×	50 3.8×	5 0.6×	2 0.3×	7	79

Countries citing papers authored by Aurelia Guy

Since Specialization

Citations

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

Fields of papers citing papers by Aurelia Guy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurelia Guy

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

All Works

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2 of 2 papers shown

1.

Cai, Trevor, Erich Elsen, Aurelia Guy, et al.. (2022). Training Compute-Optimal Large Language Models. 30016–30030.

2.

Mania, Horia, Aurelia Guy, & Benjamin Recht. (2018). Simple random search of static linear policies is competitive for reinforcement learning. Neural Information Processing Systems. 31. 1800–1809. 58 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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