Pierrick Philippe

723 total citations
35 papers, 333 citations indexed

About

Pierrick Philippe is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pierrick Philippe has authored 35 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Pierrick Philippe's work include Video Coding and Compression Technologies (15 papers), Advanced Data Compression Techniques (14 papers) and Image and Signal Denoising Methods (12 papers). Pierrick Philippe is often cited by papers focused on Video Coding and Compression Technologies (15 papers), Advanced Data Compression Techniques (14 papers) and Image and Signal Denoising Methods (12 papers). Pierrick Philippe collaborates with scholars based in France, Poland and Tunisia. Pierrick Philippe's co-authors include Alexey Ozerov, Olivier Déforges, Rémi Gribonval, Wassim Hamidouche, Félix Henry, Gordon Clare, Fatma Belghith, Jean-François Nezan, Nouri Masmoudi and Pierre Duhamel and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

Pierrick Philippe

31 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierrick Philippe France 10 290 179 71 43 9 35 333
Seungkwon Beack South Korea 9 185 0.6× 115 0.6× 55 0.8× 42 1.0× 8 0.9× 45 214
Stephen Rawls United States 8 168 0.6× 371 2.1× 62 0.9× 17 0.4× 3 0.3× 14 408
Eric Allamanche Germany 8 296 1.0× 246 1.4× 45 0.6× 27 0.6× 5 0.6× 12 325
Beghdad Ayad France 8 125 0.4× 244 1.4× 37 0.5× 53 1.2× 5 0.6× 15 314
Zafar Rafii United States 11 401 1.4× 129 0.7× 109 1.5× 63 1.5× 8 0.9× 19 432
Steffen Zeiler Germany 9 178 0.6× 38 0.2× 97 1.4× 32 0.7× 10 1.1× 31 211
Fabian Mentzer Switzerland 7 164 0.6× 346 1.9× 27 0.4× 10 0.2× 15 1.7× 11 376
Zhihao Hu China 7 162 0.6× 324 1.8× 17 0.2× 16 0.4× 6 0.7× 11 351
Feilong Bao China 11 98 0.3× 56 0.3× 219 3.1× 22 0.5× 11 1.2× 50 274
Lie Gu United States 7 56 0.2× 290 1.6× 30 0.4× 28 0.7× 3 0.3× 7 319

Countries citing papers authored by Pierrick Philippe

Since Specialization
Citations

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

Fields of papers citing papers by Pierrick Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierrick Philippe

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

All Works

20 of 20 papers shown
1.
Philippe, Pierrick, et al.. (2025). Upsampling Improvement for Overfitted Neural Coding. 1–5.
2.
Philippe, Pierrick, et al.. (2024). ED: Perceptually tuned Enhanced Compression Model. 577–577.
3.
Philippe, Pierrick, et al.. (2024). Overfitted Image Coding at Reduced Complexity. SPIRE - Sciences Po Institutional REpository. 927–931. 2 indexed citations
4.
Philippe, Pierrick, et al.. (2022). AIVC: Artificial Intelligence Based Video Codec. 2022 IEEE International Conference on Image Processing (ICIP). 316–320. 13 indexed citations
5.
Hamidouche, Wassim, et al.. (2022). Hardware-Friendly Multiple Transform Selection Module for the VVC Standard. IEEE Transactions on Consumer Electronics. 68(2). 96–106. 8 indexed citations
6.
Philippe, Pierrick, et al.. (2020). Binary Probability Model for Learning Based Image Compression. arXiv (Cornell University). 2168–2172. 1 indexed citations
7.
Hamidouche, Wassim, Pierrick Philippe, Olivier Déforges, et al.. (2019). Forward-Inverse 2D Hardware Implementation of Approximate Transform Core for the VVC Standard. IEEE Transactions on Circuits and Systems for Video Technology. 30(11). 4340–4354. 28 indexed citations
8.
Henry, Félix, et al.. (2019). Intra Block-DPCM with Layer Separation of Screen Content in VVC. HAL (Le Centre pour la Communication Scientifique Directe). 3162–3166. 12 indexed citations
9.
Philippe, Pierrick, et al.. (2018). Transform Competition for Temporal Prediction in Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 29(3). 815–826. 10 indexed citations
10.
Hamidouche, Wassim, et al.. (2017). Compression efficiency of the emerging video coding tools. HAL (Le Centre pour la Communication Scientifique Directe). 13. 2996–3000. 11 indexed citations
11.
Philippe, Pierrick, et al.. (2016). Low-complexity adaptive multiple transforms for post-HEVC video coding. 8135. 1–5. 11 indexed citations
12.
Philippe, Pierrick, et al.. (2008). Adaptive time-frequency resolution in modulated transform at reduced delay. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3781–3784. 1 indexed citations
13.
Ozerov, Alexey, Pierrick Philippe, Rémi Gribonval, & Frédéric Bimbot. (2007). Choix et adaptation de modèles statistiques pour la séparation de voix chantée à partir d'un seul microphone. Traitement du signal. 24(3). 211–224. 1 indexed citations
14.
Fauré, Julien, et al.. (2007). Efficient Binaural Filtering in QMF Domain for BRIR. Journal of the Audio Engineering Society. 3 indexed citations
15.
Ozerov, Alexey, et al.. (2006). One microphone singing voice separation using source-adapted models. HAL (Le Centre pour la Communication Scientifique Directe). 90–93. 36 indexed citations
16.
Ozerov, Alexey, Rémi Gribonval, Pierrick Philippe, & Frédéric Bimbot. (2005). Séparation voix / musique à partir d'enregistrements mono : quelques remarques sur le choix et l'adaptation des modèles. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Philippe, Pierrick, et al.. (2001). NEW QUERY-BY-HUMMING MUSIC RETRIEVAL SYSTEM CONCEPTION AND EVALUATION BASED ON A QUERY NATURE STUDY. 36(2). 145–147. 3 indexed citations
18.
Philippe, Pierrick, et al.. (1999). Wavelet packet filterbanks for low time delay audio coding. IEEE Transactions on Speech and Audio Processing. 7(3). 310–322. 19 indexed citations
19.
Philippe, Pierrick, et al.. (1995). A Relevant Criterion for the Design of Wavelet Filters in High-Quality Audio Coding. Journal of the Audio Engineering Society. 3 indexed citations
20.
Philippe, Pierrick, et al.. (1993). MUSICAM (ISO-MPEG Audio) Very Low Bit-Rate Coding at a Reduced Sampling Frequency. Journal of the Audio Engineering Society. 3 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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