Lucas Maystre

602 total citations
15 papers, 330 citations indexed

About

Lucas Maystre is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lucas Maystre has authored 15 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Lucas Maystre's work include Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (3 papers) and Consumer Market Behavior and Pricing (2 papers). Lucas Maystre is often cited by papers focused on Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (3 papers) and Consumer Market Behavior and Pricing (2 papers). Lucas Maystre collaborates with scholars based in Switzerland, Canada and Denmark. Lucas Maystre's co-authors include Mounia Lalmas, Rishabh Mehrotra, Matthias Grossglauser, Ashton Anderson, Christian Hansen, Casper Worm Hansen, Daniel Russo, Samuel F. Way, Ben Carterette and B.S. Thomas and has published in prestigious journals such as Waste Management & Research The Journal for a Sustainable Circular Economy, Spiral (Imperial College London) and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Lucas Maystre

14 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas Maystre Switzerland 9 154 115 61 60 59 15 330
Zahra Nazari United States 8 143 0.9× 130 1.1× 55 0.9× 28 0.5× 53 0.9× 24 278
Basilis Boutsinas Greece 11 106 0.7× 159 1.4× 29 0.5× 56 0.9× 38 0.6× 35 382
Sanjay Kumar Jain India 8 233 1.5× 231 2.0× 40 0.7× 22 0.4× 55 0.9× 30 434
Iman Kamehkhosh Germany 8 210 1.4× 95 0.8× 94 1.5× 97 1.6× 93 1.6× 9 297
Inma Garcia Spain 6 208 1.4× 78 0.7× 36 0.6× 32 0.5× 41 0.7× 7 306
Noemi Mauro Italy 9 177 1.1× 135 1.2× 57 0.9× 30 0.5× 51 0.9× 38 290
Mirko Marras Italy 12 243 1.6× 259 2.3× 59 1.0× 74 1.2× 93 1.6× 54 509
Jinmook Kim United States 7 296 1.9× 121 1.1× 56 0.9× 38 0.6× 85 1.4× 13 384
Ricardo Marcondes Marcacini Brazil 14 197 1.3× 345 3.0× 33 0.5× 71 1.2× 69 1.2× 88 532
Mostafa Aref Egypt 10 76 0.5× 264 2.3× 24 0.4× 26 0.4× 29 0.5× 82 371

Countries citing papers authored by Lucas Maystre

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Maystre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Maystre

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

All Works

15 of 15 papers shown
1.
Maystre, Lucas, et al.. (2023). Accelerating Creator Audience Building through Centralized Exploration. 70–73. 1 indexed citations
2.
Maystre, Lucas, et al.. (2023). Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. arXiv (Cornell University). 1687–1697. 4 indexed citations
3.
Way, Samuel F., et al.. (2022). The Dynamics of Exploration on Spotify. Proceedings of the International AAAI Conference on Web and Social Media. 16. 663–674. 4 indexed citations
4.
Chandar, Praveen, B.S. Thomas, Lucas Maystre, et al.. (2022). Using Survival Models to Estimate User Engagement in Online Experiments. Proceedings of the ACM Web Conference 2022. 3186–3195. 4 indexed citations
5.
Maystre, Lucas, et al.. (2021). Collaborative Classification from Noisy Labels. International Conference on Artificial Intelligence and Statistics. 1639–1647.
6.
Hansen, Christian, et al.. (2021). Shifting Consumption towards Diverse Content on Music Streaming Platforms. Research at the University of Copenhagen (University of Copenhagen). 238–246. 22 indexed citations
7.
Maystre, Lucas, et al.. (2021). Where To Next? A Dynamic Model of User Preferences. Spiral (Imperial College London). 3210–3220. 12 indexed citations
8.
Hansen, Casper Worm, et al.. (2020). Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. Research at the University of Copenhagen (University of Copenhagen). 53–62. 71 indexed citations
9.
Anderson, Ashton, et al.. (2020). Algorithmic Effects on the Diversity of Consumption on Spotify. 2155–2165. 103 indexed citations
10.
Maystre, Lucas & Matthias Grossglauser. (2017). Just Sort It! A Simple and Effective Approach to Active Preference Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 70. 2344–2353. 12 indexed citations
11.
Maystre, Lucas, et al.. (2016). Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 63. 366–381. 28 indexed citations
12.
Maystre, Lucas & Matthias Grossglauser. (2016). ChoiceRank: Identifying Preferences from Node Traffic in Networks. arXiv (Cornell University). 70. 2354–2362. 5 indexed citations
13.
Maystre, Lucas & Matthias Grossglauser. (2015). Fast and accurate inference of Plackett-Luce models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28. 172–180. 31 indexed citations
14.
Maystre, Lucas, et al.. (1995). A Goal-Oriented Characterization of Urban Waste. Waste Management & Research The Journal for a Sustainable Circular Economy. 13(3). 207–218. 17 indexed citations
15.
Maystre, Lucas, et al.. (1992). Sampling Method To Determine a Household Waste Composition Variance. Waste Management & Research The Journal for a Sustainable Circular Economy. 10(1). 3–12. 16 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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