Nicolas Gillis
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 0.5%
- Computational Mechanics top 2%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Co-authors
- François GlineurStephen A. VavasisWing‐Kin MaAntonio PlazaJosé M. Bioucas‐DiasTsung‐Han ChanPaul GaderArulMurugan Ambikapathi
- Topics
- Sparse and Compressive Sensing Techniques (48 papers)Remote-Sensing Image Classification (29 papers)Face and Expression Recognition (28 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAutomaticaEuropean Journal of Operational Research
- Partner nations
- BelgiumUnited StatesCanada
In The Last Decade
Nicolas Gillis
89 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 668
- Media Technology 614
- Computational Mechanics 588
- Signal Processing 384
- Artificial Intelligence 316
Countries citing papers authored by Nicolas Gillis
This map shows the geographic impact of Nicolas Gillis'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 Gillis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Gillis more than expected).
Fields of papers citing papers by Nicolas Gillis
This network shows the impact of papers produced by Nicolas Gillis. 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 Gillis. The network helps show where Nicolas Gillis may publish in the future.
Co-authorship network of co-authors of Nicolas Gillis
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Gillis. A scholar is included among the top collaborators of Nicolas Gillis 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 Gillis. Nicolas Gillis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 49 | |
| 11 | 1 | |
| 12 | 33 | |
| 13 | 18 | |
| 14 | Inertial Block Mirror Descent Method for Non-Convex Non-Smooth Optimization | 3 |
| 15 | Identifiability of Low-Rank Sparse Component Analysis. | 1 |
| 16 | 19 | |
| 17 | 3 | |
| 18 | ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering | 4 |
| 19 | 41 | |
| 20 | 33 |
About Nicolas Gillis
Nicolas Gillis is a scholar working on Computational Mathematics, Media Technology and Numerical Analysis, having authored 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (48 papers), Remote-Sensing Image Classification (29 papers) and Face and Expression Recognition (28 papers). The work is most often cited by research in Computational Mathematics (171 citations), Media Technology (614 citations) and Signal Processing (384 citations). Nicolas Gillis has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include François Glineur, Stephen A. Vavasis, Wing‐Kin Ma, Antonio Plaza, José M. Bioucas‐Dias, Tsung‐Han Chan, Paul Gader, ArulMurugan Ambikapathi, Chong‐Yung Chi and Robert Luce. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and European Journal of Operational Research.
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.