Nicolas Keriven

490 total citations
11 papers, 84 citations indexed

About

Nicolas Keriven is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nicolas Keriven has authored 11 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Nicolas Keriven's work include Sparse and Compressive Sensing Techniques (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Nicolas Keriven is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Nicolas Keriven collaborates with scholars based in France, United Kingdom and Japan. Nicolas Keriven's co-authors include Rémi Gribonval, Patrick Pérez, Nicolas Tremblay, Gabriel Peyré, Mark D. Plumbley, Clarice Poon, Philip Schniter, Laurent Jacques, Gilles Blanchard and Samuel Vaiter and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Nicolas Keriven

9 papers receiving 80 citations

Peers

Nicolas Keriven

CVPR

CM

AI

SP

BE

Pierre-André Savalle France

Ross Boczar United States

Xinyang Yi United States

Tal Remez Israel

Ewa Skubalska-Rafajłowicz Poland

Jakob Wenzel Germany

Daniel Guo United States

Tianyu Ding United States

Pascal Peter Germany

Yipeng Sun China

Pierre-André Savalle France

Nicolas Keriven

17 ×0.4

CVPR

47 ×1.5

CM

27 ×1.0

AI

14 ×0.6

SP

6 ×0.9

BE

Citations per year, relative to Nicolas Keriven Nicolas Keriven (= 1×) peers Pierre-André Savalle

Countries citing papers authored by Nicolas Keriven

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Keriven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Keriven

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

Keriven, Nicolas & Samuel Vaiter. (2022). Sparse and smooth: Improved guarantees for spectral clustering in the dynamic stochastic block model. Electronic Journal of Statistics. 16(1).

2.

Gribonval, Rémi, et al.. (2021). Compressive statistical learning with random feature moments. arXiv (Cornell University). 3(2). 113–164.

3.

Gribonval, Rémi, et al.. (2021). Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Processing Magazine. 38(5). 12–36. 7 indexed citations

4.

Poon, Clarice, Nicolas Keriven, & Gabriel Peyré. (2021). The Geometry of Off-the-Grid Compressed Sensing. Foundations of Computational Mathematics. 23(1). 241–327. 9 indexed citations

5.

Keriven, Nicolas, et al.. (2020). NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection. IEEE Transactions on Signal Processing. 68. 3515–3528. 2 indexed citations

6.

Keriven, Nicolas & Gabriel Peyré. (2019). Universal Invariant and Equivariant Graph Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

7.

Keriven, Nicolas & Rémi Gribonval. (2018). Instance Optimal Decoding and the Restricted Isometry Property. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

8.

Keriven, Nicolas, et al.. (2017). Compressive K-means. 6369–6373. 19 indexed citations

9.

Keriven, Nicolas, et al.. (2017). Sketching for large-scale learning of mixture models. Information and Inference A Journal of the IMA. 7(3). 447–508. 25 indexed citations

10.

Keriven, Nicolas, et al.. (2016). Non-Negative Group Sparsity with Subspace Note Modelling for Polyphonic Transcription. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(3). 530–542. 11 indexed citations

11.

Keriven, Nicolas, et al.. (2013). Structured sparsity using backwards elimination for Automatic Music Transcription. Queen Mary Research Online (Queen Mary University of London). 1–6. 6 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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