Jérémie Mary

1.0k total citations
9 papers, 90 citations indexed

About

Jérémie Mary is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Jérémie Mary has authored 9 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in Jérémie Mary's work include Advanced Bandit Algorithms Research (3 papers), Machine Learning and Algorithms (2 papers) and Optimization and Search Problems (2 papers). Jérémie Mary is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Machine Learning and Algorithms (2 papers) and Optimization and Search Problems (2 papers). Jérémie Mary collaborates with scholars based in France, China and India. Jérémie Mary's co-authors include Olivier Pietquin, Aaron Courville, Harm de Vries, Bilal Piot, Noureddine El Karoui, Florian Strub, Mike Gartrell, Sylvain Gelly, Olivier Teytaud and Rémi Munos and has published in prestigious journals such as Frontiers of Computer Science, International Conference on Machine Learning and European Conference on Artificial Intelligence.

In The Last Decade

Jérémie Mary

7 papers receiving 85 citations

Peers

Jérémie Mary
Comparison fields: 5 of 43
  • Artificial Intelligence 52
  • Computer Vision and Pattern Recognition 33
  • Information Systems 12
  • Management Science and Operations Research 10
  • Safety Research 9
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Citations per field, relative to Jérémie Mary
Jérémie Mary · 1×
Citations per year, relative to Jérémie Mary
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Countries citing papers authored by Jérémie Mary

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Mary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémie Mary

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2
Learning Disconnected Manifolds: Avoiding The No Gan's Land by Latent Rejection
0
3
Fairness-Aware Learning for Continuous Attributes and Treatments
19
4 16
5 36
6 4
7
Adaptive play in Texas Hold'em Poker
6
8 1
9
Learning for stochastic dynamic programming
8

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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