Lucas Maystre
- Information Systems top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mounia LalmasRishabh MehrotraMatthias GrossglauserAshton AndersonChristian HansenCasper Worm HansenDaniel RussoSamuel F. Way
- Topics
- Recommender Systems and Techniques (7 papers)Complex Network Analysis Techniques (3 papers)Consumer Market Behavior and Pricing (2 papers)
- Journals
- Waste Management & Research The Journal for a Sustainable Circular EconomySpiral (Imperial College London)Research at the University of Copenhagen (University of Copenhagen)
- Partner nations
- SwitzerlandCanadaDenmark
In The Last Decade
Lucas Maystre
14 papers receiving 309 citations
Peers
Comparison fields: 5 of 63
- Information Systems 154
- Artificial Intelligence 115
- Management Science and Operations Research 61
- Signal Processing 60
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Lucas Maystre
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | Collaborative Classification from Noisy Labels | 0 |
| 6 | 22 | |
| 7 | 12 | |
| 8 | 71 | |
| 9 | 103 | |
| 10 | Just Sort It! A Simple and Effective Approach to Active Preference Learning | 12 |
| 11 | Collaborative Recurrent Neural Networks for Dynamic Recommender Systems | 28 |
| 12 | 5 | |
| 13 | Fast and accurate inference of Plackett-Luce models | 31 |
| 14 | 17 | |
| 15 | 16 |
About Lucas Maystre
Lucas Maystre is a scholar working on Information Systems, Transportation and Statistical and Nonlinear Physics, having authored 15 papers that have together received 330 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (3 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Information Systems (154 citations), Signal Processing (60 citations) and Music (16 citations). Lucas Maystre has collaborated with scholars based in Switzerland, Canada and Denmark. Frequent 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. Their work appears in 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).
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.