Flavien Prost

901 total citations
2 papers, 14 citations indexed

About

Flavien Prost is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Flavien Prost has authored 2 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Information Systems, 1 paper in Artificial Intelligence and 1 paper in Management Science and Operations Research. Recurrent topics in Flavien Prost's work include Recommender Systems and Techniques (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Advanced Bandit Algorithms Research (1 paper). Flavien Prost is often cited by papers focused on Recommender Systems and Techniques (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Advanced Bandit Algorithms Research (1 paper). Flavien Prost collaborates with scholars based in United States. Flavien Prost's co-authors include Alex Beutel, Xuezhi Wang, Ed H., Nithum Thain, Jilin Chen and Tolga Bolukbasi and has published in prestigious journals such as .

In The Last Decade

Flavien Prost

2 papers receiving 14 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flavien Prost United States	2	10	8	7	4	1	2	14
Zachary Kenton Germany	3	9 0.9×	2 0.3×	6 0.9×	2 0.5×		5	17
R. F. Xu China	2	13 1.3×	3 0.4×	6 0.9×	3 0.8×		2	37
Michael Tieu United States	2	16 1.6×	3 0.4×	3 0.4×			2	26
Raquel Fernández Netherlands	4	29 2.9×	3 0.4×	2 0.3×	3 0.8×		11	38
Olivier Gerbé Canada	4	14 1.4×	11 1.4×	1 0.1×	4 1.0×	1 1.0×	12	27
S. Falk Germany	3	6 0.6×	2 0.3×	6 0.9×			3	27
John P. Flynt	2	8 0.8×	10 1.3×		7 1.8×		3	23
Nestor Maslej United States	2	4 0.4×	2 0.3×	4 0.6×	1 0.3×		2	11
Chad Coulin Australia	2	10 1.0×	19 2.4×		3 0.8×		2	19
Priti Oli United States	2	5 0.5×	6 0.8×		11 2.8×		5	17

Countries citing papers authored by Flavien Prost

Since Specialization

Citations

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

Fields of papers citing papers by Flavien Prost

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavien Prost

This figure shows the co-authorship network connecting the top 25 collaborators of Flavien Prost. A scholar is included among the top collaborators of Flavien Prost 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 Flavien Prost. Flavien Prost 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.

Wang, Xuezhi, Nithum Thain, Flavien Prost, et al.. (2021). Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. 2007. 436–444. 13 indexed citations

2.

Prost, Flavien, Nithum Thain, & Tolga Bolukbasi. (2019). Debiasing Embeddings for Fairer Text Classification. 1 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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