Charline Le Lan

1.6k total citations
5 papers, 32 citations indexed

About

Charline Le Lan is a scholar working on Artificial Intelligence, Management Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Charline Le Lan has authored 5 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Management Information Systems and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Charline Le Lan's work include Supply Chain and Inventory Management (2 papers), Reinforcement Learning in Robotics (2 papers) and Computational Physics and Python Applications (1 paper). Charline Le Lan is often cited by papers focused on Supply Chain and Inventory Management (2 papers), Reinforcement Learning in Robotics (2 papers) and Computational Physics and Python Applications (1 paper). Charline Le Lan collaborates with scholars based in United Kingdom, United States and Germany. Charline Le Lan's co-authors include Laurent Dinh, Chris J. Maddison, Ryota Tomioka, Marc G. Bellemare, Pablo Samuel Castro, Émile Mathieu, Yee Whye Teh, Michael Hutchinson, Emilien Dupont and Hyunjik Kim and has published in prestigious journals such as Entropy, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Charline Le Lan

5 papers receiving 32 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charline Le Lan United Kingdom	4	20	11	3	2	2	5	32
Emiel Hoogeboom Netherlands	4	15 0.8×	18 1.6×	3 1.0×	2 1.0×	1 0.5×	7	31
Yuri Burda Canada	3	16 0.8×	15 1.4×	2 0.7×	1 0.5×	1 0.5×	8	30
Hengyuan Hu United States	4	29 1.4×	8 0.7×	3 1.0×		4 2.0×	6	37
Mélissa Rossi France	2	19 0.9×	11 1.0×	3 1.0×			6	26
Tamara von Glehn United Kingdom	2	19 0.9×	6 0.5×	3 1.0×		2 1.0×	3	23
Benoît Cogliati France	3	25 1.3×	16 1.5×	2 0.7×			8	30
Asier Mujika Switzerland	4	24 1.2×	6 0.5×	4 1.3×	1 0.5×	1 0.5×	6	34
Hart Montgomery United States	2	17 0.8×	6 0.5×	5 1.7×			5	20
Pegah Alipoormolabashi Iran	2	23 1.1×	10 0.9×		2 1.0×		3	23
Pranav Shyam Switzerland	2	19 0.9×	13 1.2×			2 1.0×	2	25

Countries citing papers authored by Charline Le Lan

Since Specialization

Citations

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

Fields of papers citing papers by Charline Le Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charline Le Lan. 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 Charline Le Lan. The network helps show where Charline Le Lan may publish in the future.

Co-authorship network of co-authors of Charline Le Lan

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

All Works

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5 of 5 papers shown

1.

Hutchinson, Michael, et al.. (2021). LieTransformer: Equivariant Self-Attention for Lie Groups. International Conference on Machine Learning. 4533–4543. 1 indexed citations

2.

Lan, Charline Le, Marc G. Bellemare, & Pablo Samuel Castro. (2021). Metrics and continuity in reinforcement learning. arXiv (Cornell University). 35(9). 8261–8269. 3 indexed citations

3.

Lan, Charline Le & Laurent Dinh. (2021). Perfect Density Models Cannot Guarantee Anomaly Detection. Entropy. 23(12). 1690–1690. 9 indexed citations

4.

Lan, Charline Le, Marc G. Bellemare, & Pablo Samuel Castro. (2021). Metrics and Continuity in Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 8261–8269. 6 indexed citations

5.

Mathieu, Émile, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, & Yee Whye Teh. (2019). Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders. arXiv (Cornell University). 32. 12544–12555. 13 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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