Pierre Vandergheynst
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.1%
- Computational Mechanics top 0.1%
- Statistical and Nonlinear Physics top 0.1%
- Signal Processing top 0.2%
- Co-authors
- Pascal FrossardAntonio OrtegaDavid I ShumanRémi GribonvalSunil K. NarangDavid K. HammondAlexandre AlahiMichael M. Bronstein
- Topics
- Sparse and Compressive Sensing Techniques (97 papers)Image and Signal Denoising Methods (81 papers)Blind Source Separation Techniques (52 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational MathematicsStatistical and Nonlinear Physics
- Journals
- Physical Review LettersThe Astrophysical JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Pierre Vandergheynst
283 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 6.3k
- Artificial Intelligence 5.1k
- Computational Mechanics 3.3k
- Statistical and Nonlinear Physics 2.5k
- Signal Processing 1.7k
Countries citing papers authored by Pierre Vandergheynst
This map shows the geographic impact of Pierre Vandergheynst'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 Pierre Vandergheynst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Vandergheynst more than expected).
Fields of papers citing papers by Pierre Vandergheynst
This network shows the impact of papers produced by Pierre Vandergheynst. 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 Pierre Vandergheynst. The network helps show where Pierre Vandergheynst may publish in the future.
Co-authorship network of co-authors of Pierre Vandergheynst
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Vandergheynst. A scholar is included among the top collaborators of Pierre Vandergheynst 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 Pierre Vandergheynst. Pierre Vandergheynst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Graph Signal Processing: Overview, Challenges, and Applicationsbreakdown → | 1036 |
| 3 | 2 | |
| 4 | Random Sampling of Bandlimited Signals on Graphs | 1 |
| 5 | Learning Graphs from Signal Observations under Smoothness Prior. | 9 |
| 6 | Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI | 1 |
| 7 | Beyond Bits: Reconstructing Images from Local Binary Descriptors | 24 |
| 8 | Robust joint reconstruction of misaligned images using semi-parametric dictionaries | 2 |
| 9 | Hardware Implementation of an Omnidirectional Camera for Real-Time 3D Imaging | 1 |
| 10 | Semi-Supervised Learning with Spectral Graph Wavelets | 11 |
| 11 | Fast structure from motion for planar image sequences | 3 |
| 12 | Wavelets on graphs via spectral graph theorybreakdown → | 1360 |
| 13 | Multichannel compressed sensing via source separation for hyperspectral images | 8 |
| 14 | 4 | |
| 15 | An Adaptive Total Variation Model for Image Segmentation | 1 |
| 16 | Fast spin +-2 spherical harmonics transforms | 4 |
| 17 | Analysis of Multimodal Signals Using Redundant Representations [Winner of IBM Student Paper Award] | 1 |
| 18 | Unequal Error Protection of Atomic Image Streams | 2 |
| 19 | INTER-RESOLUTION TRANSFORM FOR SPATIALLY SCALABLE VIDEO CODING | 5 |
| 20 | 6 |
About Pierre Vandergheynst
Pierre Vandergheynst is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, having authored 290 papers that have together received 16.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (97 papers), Image and Signal Denoising Methods (81 papers) and Blind Source Separation Techniques (52 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.3k citations), Computational Mathematics (139 citations) and Statistical and Nonlinear Physics (2.5k citations). Pierre Vandergheynst has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Pascal Frossard, Antonio Ortega, David I Shuman, Rémi Gribonval, Sunil K. Narang, David K. Hammond, Alexandre Alahi, Michael M. Bronstein, Yann LeCun and Arthur Szlam. Their work appears in journals such as Physical Review Letters, The Astrophysical Journal and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.