N. Renard

490 citations
5 papers · 381 · h-index 4

Impact in

Papers in

Journals
IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
Partner nations
France

In The Last Decade

N. Renard

5 papers receiving 377 citations

Peers

N. Renard
Comparison fields: 5 of 43
  • Computational Mathematics 84
  • Media Technology 250
  • Computer Vision and Pattern Recognition 252
  • Computational Mechanics 143
  • Signal Processing 42
Replace Yang‐Jun Deng with:
Yang‐Jun Deng China
Yuanyang Bu China
Yi Peng China
Barbara Penna Italy
Cédric Richard France
Wenrui Hu China
Yenming Mark Lai United States
Xi Cheng China
Yuancheng Huang China
Ning Huyan China
N. Renard relative to Yang‐Jun Deng China Yang‐Jun Deng's profile →
Citations per field
00.5×10×20×27×
Yang‐Jun Deng · 1×
Citations per year

Countries citing papers authored by N. Renard

Since Specialization
Citations

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

Fields of papers citing papers by N. Renard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside N. Renard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Renard Line = papers co-authored together N. Renard links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2008243
2 200985
3 200849
4 20083
5
Multiway Filtering Applied on Hyperspectral Images
20061

About N. Renard

N. Renard is a scholar working on Media Technology, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics, having authored 5 papers that have together received 381 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (4 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Spectroscopy and Chemometric Analyses (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Computational Mathematics (84 citations), Media Technology (250 citations), Computer Vision and Pattern Recognition (252 citations), Computational Mechanics (143 citations) and Signal Processing (42 citations). N. Renard has collaborated with scholars based in France. Frequent co-authors include Jacques Blanc-Talon and Salah Bourennane. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and HAL (Le Centre pour la Communication Scientifique Directe).

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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