Laurent Charlin

3.7k total citations
20 papers, 977 citations indexed

About

Laurent Charlin is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Laurent Charlin has authored 20 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Laurent Charlin's work include Topic Modeling (10 papers), Recommender Systems and Techniques (5 papers) and Speech and dialogue systems (4 papers). Laurent Charlin is often cited by papers focused on Topic Modeling (10 papers), Recommender Systems and Techniques (5 papers) and Speech and dialogue systems (4 papers). Laurent Charlin collaborates with scholars based in Canada, United States and Algeria. Laurent Charlin's co-authors include David M. Blei, Dawen Liang, James O. McInerney, Jaan Altosaar, Richard S. Zemel, Prem Gopalan, Joëlle Pineau, Ryan Lowe, Iulian Vlad Serban and Zhaoran Wang and has published in prestigious journals such as Applied Energy, Journal of Interactive Marketing and Water.

In The Last Decade

Laurent Charlin

19 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laurent Charlin Canada	13	695	593	200	155	65	20	977
Zhuoye Ding China	13	434 0.6×	429 0.7×	136 0.7×	132 0.9×	58 0.9×	35	670
Christopher DuBois United States	6	491 0.7×	611 1.0×	147 0.7×	249 1.6×	65 1.0×	10	812
Malte Ludewig Germany	10	440 0.6×	663 1.1×	250 1.3×	158 1.0×	56 0.9×	13	746
Fei Cai China	16	543 0.8×	463 0.8×	106 0.5×	116 0.7×	59 0.9×	55	738
Giuseppe Rizzo Italy	18	778 1.1×	374 0.6×	157 0.8×	113 0.7×	56 0.9×	64	1.0k
Leyu Lin China	23	1.0k 1.5×	877 1.5×	269 1.3×	268 1.7×	107 1.6×	60	1.4k
How Jing United States	6	378 0.5×	470 0.8×	124 0.6×	140 0.9×	55 0.8×	11	606
Jianxun Lian China	16	814 1.2×	897 1.5×	161 0.8×	247 1.6×	110 1.7×	42	1.2k
Saúl Vargas Spain	10	313 0.5×	717 1.2×	290 1.4×	182 1.2×	85 1.3×	19	866
Cihan Kaleli Türkiye	12	457 0.7×	666 1.1×	103 0.5×	178 1.1×	123 1.9×	29	854

Countries citing papers authored by Laurent Charlin

Since Specialization

Citations

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

Fields of papers citing papers by Laurent Charlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Charlin

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

Charlin, Laurent, et al.. (2024). Applying Recurrent Neural Networks and Blocked Cross-Validation to Model Conventional Drinking Water Treatment Processes. Water. 16(7). 1042–1042. 4 indexed citations

Pineau, Pierre‐Olivier, et al.. (2024). Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks. Applied Energy. 359. 122649–122649. 17 indexed citations

Nepomuceno, Marcelo Vinhal, et al.. (2023). Should We Feed the Trolls? Using Marketer-Generated Content to Explain Average Toxicity and Product Usage. Journal of Interactive Marketing. 58(4). 440–462. 6 indexed citations

Pineau, Pierre‐Olivier, et al.. (2023). Price Forecasting in the Ontario Electricity Market via TriConvGRU Hybrid Model: Univariate vs. Multivariate Frameworks. SSRN Electronic Journal.

Wang, Zhaoran, Dawen Liang, Laurent Charlin, & David M. Blei. (2020). Causal Inference for Recommender Systems. 426–431. 80 indexed citations

Gasse, Maxime, et al.. (2019). Exact Combinatorial Optimization with Graph Convolutional Neural Networks. PolyPublie (École Polytechnique de Montréal). 32. 15554–15566. 12 indexed citations

Ke, Nan Rosemary, Konrad Żołna, Alessandro Sordoni, et al.. (2018). Focused Hierarchical RNNs for Conditional Sequence Processing. PolyPublie (École Polytechnique de Montréal). 2554–2563. 9 indexed citations

Li, Raymond, Samira Ebrahimi Kahou, Hannes Schulz, et al.. (2018). Towards Deep Conversational Recommendations. PolyPublie (École Polytechnique de Montréal). 31. 9725–9735. 64 indexed citations

Serban, Iulian Vlad, Ryan Lowe, Peter Henderson, Laurent Charlin, & Joëlle Pineau. (2018). A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version. 9(1). 1–49. 68 indexed citations

10.

Lowe, Ryan, et al.. (2017). Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus. 8(1). 31–65. 74 indexed citations

11.

Charlin, Laurent. (2017). Intelligence artificielle : une mine d’or pour les entreprises. Gestion. Vol. 42(1). 76–79. 4 indexed citations

12.

Liang, Dawen, Jaan Altosaar, Laurent Charlin, & David M. Blei. (2016). Factorization Meets the Item Embedding. 59–66. 162 indexed citations

13.

Liang, Dawen, Laurent Charlin, James O. McInerney, & David M. Blei. (2016). Modeling User Exposure in Recommendation. 951–961. 224 indexed citations

14.

Serban, Iulian Vlad, Ryan Lowe, Laurent Charlin, & Joëlle Pineau. (2016). Generative Deep Neural Networks for Dialogue: A Short Review. arXiv (Cornell University). 27 indexed citations

15.

Ranganath, Rajesh, et al.. (2015). Deep Exponential Families. International Conference on Artificial Intelligence and Statistics. 38. 762–771. 33 indexed citations

16.

Gopalan, Prem, Laurent Charlin, & David M. Blei. (2014). Content-based recommendations with Poisson factorization. Neural Information Processing Systems. 27. 3176–3184. 107 indexed citations

17.

Charlin, Laurent, Richard S. Zemel, & Hugo Larochelle. (2014). Leveraging user libraries to bootstrap collaborative filtering. 173–182. 7 indexed citations

18.

Charlin, Laurent & Richard S. Zemel. (2013). The Toronto Paper Matching System: An automated paper-reviewer assignment system. 53 indexed citations

19.

Charlin, Laurent, Richard S. Zemel, & Craig Boutilier. (2012). A Framework for Optimizing Paper Matching. arXiv (Cornell University). 86–95. 25 indexed citations

20.

Beg, Mirza Omer, et al.. (2006). MAXSM: A Multi-Heuristic Approach to XML Schema Matching. 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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