Moez Baccouche

2.0k total citations · 1 hit paper
6 papers, 486 citations indexed

About

Moez Baccouche is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Moez Baccouche has authored 6 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Moez Baccouche's work include Face recognition and analysis (3 papers), Speech and Audio Processing (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Moez Baccouche is often cited by papers focused on Face recognition and analysis (3 papers), Speech and Audio Processing (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Moez Baccouche collaborates with scholars based in France, Türkiye and South Korea. Moez Baccouche's co-authors include Jean‐Luc Dugelay, Grigory Antipov, Sid-Ahmed Berrani, Emmanuel Dellandréa, Christian Wolf, Oya Çeliktutan, Mingyuan Jiu, Julien Mille, Bülent Sankur and Eric Lombardi and has published in prestigious journals such as Pattern Recognition, Computer Vision and Image Understanding and arXiv (Cornell University).

In The Last Decade

Moez Baccouche

6 papers receiving 467 citations

Hit Papers

align trajectories sort by overperformance

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.

Face aging with conditional generative adversarial networks

2017 327 citations Grigory Antipov, Moez Baccouche et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moez Baccouche France	5	377	115	68	20	19	6	486
Grigory Antipov France	4	382 1.0×	105 0.9×	86 1.3×	18 0.9×	19 1.0×	5	502
Huei‐Fang Yang Taiwan	9	733 1.9×	141 1.2×	52 0.8×	6 0.3×	37 1.9×	26	829
Shentong Mo United States	7	189 0.5×	121 1.1×	61 0.9×	10 0.5×	11 0.6×	21	320
Paola Barra Italy	12	196 0.5×	88 0.8×	31 0.5×	17 0.8×	8 0.4×	31	324
Wen-Huang Cheng Taiwan	14	298 0.8×	131 1.1×	62 0.9×	11 0.6×	32 1.7×	51	481
Thomas S. Huang United States	8	663 1.8×	85 0.7×	193 2.8×	45 2.3×	17 0.9×	13	715
Sungeun Hong South Korea	12	347 0.9×	185 1.6×	69 1.0×	11 0.6×	8 0.4×	34	475
Guangda Su China	10	371 1.0×	39 0.3×	164 2.4×	12 0.6×	15 0.8×	60	454

Countries citing papers authored by Moez Baccouche

Since Specialization

Citations

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

Fields of papers citing papers by Moez Baccouche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moez Baccouche

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

All Works

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6 of 6 papers shown

1.

Baccouche, Moez, et al.. (2018). Efficient Progressive Neural Architecture Search. arXiv (Cornell University). 150. 8 indexed citations

2.

Antipov, Grigory, Moez Baccouche, Sid-Ahmed Berrani, & Jean‐Luc Dugelay. (2017). Effective training of convolutional neural networks for face-based gender and age prediction. Pattern Recognition. 72. 15–26. 95 indexed citations

3.

Antipov, Grigory, Moez Baccouche, & Jean‐Luc Dugelay. (2017). Face aging with conditional generative adversarial networks. arXiv (Cornell University). 2089–2093. 327 indexed citations breakdown →

4.

Baccouche, Moez, et al.. (2016). Boosting face recognition via neural Super-Resolution.. The European Symposium on Artificial Neural Networks. 1 indexed citations

5.

Wolf, Christian, Eric Lombardi, Julien Mille, et al.. (2014). Evaluation of video activity localizations integrating quality and quantity measurements. Computer Vision and Image Understanding. 127. 14–30. 51 indexed citations

6.

Baccouche, Moez, et al.. (2014). Deep learning of split temporal context for automatic speech recognition. 4 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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