Philémon Brakel

1.6k total citations · 1 hit paper
11 papers, 392 citations indexed

About

Philémon Brakel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Philémon Brakel has authored 11 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Philémon Brakel's work include Neural Networks and Applications (3 papers), Speech and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Philémon Brakel is often cited by papers focused on Neural Networks and Applications (3 papers), Speech and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Philémon Brakel collaborates with scholars based in Canada, Belgium and Austria. Philémon Brakel's co-authors include Yoshua Bengio, Maurizio Omologo, Mirco Ravanelli, Mohammad Pezeshki, Aaron Courville, Linxi Fan, Benjamin Schrauwen, Stefan L. Frank, Dirk Stroobandt and Mirco Ravanelli and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Emerging Topics in Computational Intelligence and UvA-DARE (University of Amsterdam).

In The Last Decade

Philémon Brakel

10 papers receiving 369 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Light Gated Recurrent Units for Speech Recognition

2018 267 citations Mirco Ravanelli, Philémon Brakel et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philémon Brakel Canada	7	236	118	72	62	43	11	392
Tianmeng Yang China	3	212 0.9×	190 1.6×	50 0.7×	36 0.6×	30 0.7×	5	362
Zhihan Yue China	3	208 0.9×	190 1.6×	49 0.7×	35 0.6×	30 0.7×	4	360
Rashmi Dutta Baruah India	9	195 0.8×	56 0.5×	35 0.5×	70 1.1×	41 1.0×	43	439
Mirco Ravanelli Canada	7	412 1.7×	384 3.3×	81 1.1×	85 1.4×	39 0.9×	16	683
D.J. Sebald United States	4	105 0.4×	83 0.7×	83 1.2×	77 1.2×	63 1.5×	7	316
Kazuki Irie Germany	11	311 1.3×	144 1.2×	22 0.3×	42 0.7×	12 0.3×	28	398
Ivelin Stoianov Netherlands	3	155 0.7×	34 0.3×	46 0.6×	40 0.6×	44 1.0×	6	354

Countries citing papers authored by Philémon Brakel

Since Specialization

Citations

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

Fields of papers citing papers by Philémon Brakel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philémon Brakel

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

All Works

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11 of 11 papers shown

1.

Brakel, Philémon, Steven Bohez, Leonard Hasenclever, Nicolas Heess, & Konstantinos Bousmalis. (2022). Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10335–10342. 12 indexed citations

2.

Huang, Sandy H., Abbas Abdolmaleki, Philémon Brakel, et al.. (2021). A Constrained Multi-Objective Reinforcement Learning Framework. 2 indexed citations

3.

Ravanelli, Mirco, Philémon Brakel, Maurizio Omologo, & Yoshua Bengio. (2018). Light Gated Recurrent Units for Speech Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(2). 92–102. 267 indexed citations breakdown →

4.

Bahdanau, Dzmitry, Philémon Brakel, Kelvin Xu, et al.. (2016). An Actor-Critic Algorithm for Structured Prediction. arXiv (Cornell University). 1 indexed citations

5.

Bahdanau, Dzmitry, Philémon Brakel, Nan Rosemary Ke, et al.. (2016). Task Loss Estimation for Structured Prediction. 1 indexed citations

6.

Ravanelli, Mirco, Philémon Brakel, Maurizio Omologo, & Yoshua Bengio. (2016). Batch-normalized joint training for DNN-based distant speech recognition. 28–34. 17 indexed citations

7.

Pezeshki, Mohammad, Linxi Fan, Philémon Brakel, Aaron Courville, & Yoshua Bengio. (2015). Deconstructing the Ladder Network Architecture. arXiv (Cornell University). 2368–2376. 46 indexed citations

8.

Brakel, Philémon, Dirk Stroobandt, & Benjamin Schrauwen. (2013). Training energy-based models for time-series imputation. Journal of Machine Learning Research. 14(1). 2771–2797. 11 indexed citations

9.

Brakel, Philémon, Dirk Stroobandt, & Benjamin Schrauwen. (2013). Bidirectional truncated recurrent neural networks for efficient speech denoising. Ghent University Academic Bibliography (Ghent University). 2973–2977. 5 indexed citations

10.

Verstraeten, David, et al.. (2012). Oger: modular learning architectures for large-scale sequential processing. Journal of Machine Learning Research. 13(1). 2995–2998. 19 indexed citations

11.

Brakel, Philémon & Stefan L. Frank. (2009). Strong systematicity in sentence processing by simple recurrent networks. UvA-DARE (University of Amsterdam). 31(31). 1599–1604. 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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