Emmanuel Bengio

1.9k total citations · 1 hit paper
4 papers, 379 citations indexed

About

Emmanuel Bengio is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Emmanuel Bengio has authored 4 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Emmanuel Bengio's work include Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Emmanuel Bengio is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Emmanuel Bengio collaborates with scholars based in Canada, Poland and Germany. Emmanuel Bengio's co-authors include Maxinder S Kanwal, Aaron Courville, Devansh Arpit, Asja Fischer, David Krueger, Stanisław Jastrzȩbski, Nicolas Ballas, Tegan Maharaj, Simon Lacoste-Julien and Yoshua Bengio and has published in prestigious journals such as PolyPublie (École Polytechnique de Montréal) and Jagiellonian University Repository (Jagiellonian University).

In The Last Decade

Emmanuel Bengio

4 papers receiving 369 citations

Hit Papers

A closer look at memorization in deep networks 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Bengio Canada 3 303 157 25 20 18 4 379
Maxinder S Kanwal Poland 2 292 1.0× 157 1.0× 25 1.0× 20 1.0× 18 1.0× 2 367
Tegan Maharaj Canada 6 339 1.1× 205 1.3× 26 1.0× 20 1.0× 19 1.1× 10 459
Shuo Zhou Australia 8 133 0.4× 86 0.5× 24 1.0× 7 0.3× 25 1.4× 20 286
Biao Wang China 10 181 0.6× 189 1.2× 8 0.3× 11 0.6× 7 0.4× 42 327
Vivek Sharma Germany 7 220 0.7× 332 2.1× 9 0.4× 9 0.5× 19 1.1× 14 436
Omid Tarkhaneh Iran 8 180 0.6× 103 0.7× 8 0.3× 12 0.6× 18 1.0× 10 296
Swarnendu Ghosh India 9 86 0.3× 121 0.8× 8 0.3× 9 0.5× 20 1.1× 17 235
Renzhe Xu China 7 181 0.6× 105 0.7× 8 0.3× 4 0.2× 12 0.7× 17 276

Countries citing papers authored by Emmanuel Bengio

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Bengio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Bengio

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

All Works

4 of 4 papers shown
1.
Bengio, Emmanuel, Joëlle Pineau, & Doina Precup. (2020). Interference and Generalization in Temporal Difference Learning. 1. 767–777. 1 indexed citations
2.
Krueger, David, Nicolas Ballas, Stanisław Jastrzȩbski, et al.. (2017). Deep Nets Don't Learn via Memorization. PolyPublie (École Polytechnique de Montréal). 23 indexed citations
3.
Arpit, Devansh, Stanisław Jastrzȩbski, Nicolas Ballas, et al.. (2017). A closer look at memorization in deep networks. Jagiellonian University Repository (Jagiellonian University). 70. 233–242. 344 indexed citations breakdown →
4.
Long, Teng, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, & Doina Precup. (2017). World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. 825–834. 11 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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