Flavian Vasile

785 total citations
20 papers, 290 citations indexed

About

Flavian Vasile is a scholar working on Management Science and Operations Research, Information Systems and Artificial Intelligence. According to data from OpenAlex, Flavian Vasile has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 13 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Flavian Vasile's work include Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (12 papers) and Topic Modeling (6 papers). Flavian Vasile is often cited by papers focused on Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (12 papers) and Topic Modeling (6 papers). Flavian Vasile collaborates with scholars based in United States, United Kingdom and Netherlands. Flavian Vasile's co-authors include Elena Smirnova, Alexis Conneau, Scott Gaffney, Lan Nie, David Rohde, J. Andrew Carlson, Thorsten Joachims, Olivier Chapelle, Adith Swaminathan and Yves Raimond and has published in prestigious journals such as Radboud Repository (Radboud University), arXiv (Cornell University) and Institutional Repository University of Antwerp (University of Antwerp).

In The Last Decade

Flavian Vasile

18 papers receiving 261 citations

Peers

Flavian Vasile

MSOR

CVPR

MARKE

Diane Hu United States

Xuezhi Cao China

Yukihiro Tagami Japan

Tianxin Wei United States

Roberto Mirizzi Italy

Zhiping Gu China

Aghiles Salah Singapore

Jiankai Sun United States

Biao Li China

Diane Hu United States

Flavian Vasile

182 ×0.9

164 ×0.9

57 ×0.7

MSOR

63 ×1.1

CVPR

19 ×0.7

MARKE

Citations per year, relative to Flavian Vasile Flavian Vasile (= 1×) peers Diane Hu

Countries citing papers authored by Flavian Vasile

Since Specialization

Citations

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

Fields of papers citing papers by Flavian Vasile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavian Vasile

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

All Works

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20 of 20 papers shown

Oosterhuis, Harrie, et al.. (2024). CONSEQUENCES --- The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. Radboud Repository (Radboud University). 1206–1209.

Joachims, Thorsten, et al.. (2023). CONSEQUENCES — The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. Radboud Repository (Radboud University). 1223–1226. 1 indexed citations

Rohde, David, et al.. (2022). Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4772–4773. 1 indexed citations

Joachims, Thorsten, et al.. (2022). CONSEQUENCES — Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. Radboud Repository (Radboud University). 654–657. 8 indexed citations

Vasile, Flavian, et al.. (2020). A Gentle Introduction to Recommendation as Counterfactual Policy Learning. Institutional Repository University of Antwerp (University of Antwerp). 392–393. 8 indexed citations

Dohmatob, Elvis, et al.. (2020). Distributionally Robust Counterfactual Risk Minimization. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3850–3857. 1 indexed citations

Joachims, Thorsten, et al.. (2020). REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. 628–629. 2 indexed citations

Rohde, David, et al.. (2020). Joint Policy-Value Learning for Recommendation. Institutional Repository University of Antwerp (University of Antwerp). 1223–1233. 16 indexed citations

Joachims, Thorsten, et al.. (2019). REVEAL 2019. 568–569. 1 indexed citations

10.

Vasile, Flavian & Stephen Bonner. (2019). Causal Embeddings for Recommendation: An Extended Abstract. 6236–6240. 1 indexed citations

11.

Hidasi, Balázs, Alexandros Karatzoglou, Bracha Shapira, et al.. (2018). DLRS 2018. 512–513.

12.

Joachims, Thorsten, Adith Swaminathan, Yves Raimond, Olivier Koch, & Flavian Vasile. (2018). REVEAL 2018. 514–515. 6 indexed citations

13.

Smirnova, Elena, et al.. (2017). CONTENT2VEC: SPECIALIZING JOINT REPRESENTATIONS OF PRODUCT IMAGES AND TEXT FOR THE TASK OF PRODUCT RECOMMENDATION. 5 indexed citations

14.

Vasile, Flavian, et al.. (2017). Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. 1–6. 6 indexed citations

15.

Smirnova, Elena & Flavian Vasile. (2017). Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. 2–9. 100 indexed citations

16.

Smirnova, Elena, et al.. (2017). Specializing Joint Representations for the task of Product Recommendation. 10–18. 9 indexed citations

17.

Vasile, Flavian, et al.. (2016). Cost-sensitive Learning for Bidding in Online Advertising Auctions.. arXiv (Cornell University). 4 indexed citations

18.

Vasile, Flavian, Elena Smirnova, & Alexis Conneau. (2016). Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. arXiv (Cornell University). 63 indexed citations

19.

Nie, Lan, et al.. (2010). Resolving Surface Forms to Wikipedia Topics. International Conference on Computational Linguistics. 1335–1343. 43 indexed citations

20.

Carlson, J. Andrew, Scott Gaffney, & Flavian Vasile. (2009). Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron.. National Conference on Artificial Intelligence. 7–13. 15 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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