N. Decoster
Impact in
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis
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- Image and Signal Denoising Methods
Papers in
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- Image and Signal Denoising Methods 2
- Medical Image Segmentation Techniques 1
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- Complex Systems and Time Series Analysis 3
- Co-authors
- A. Arnéodo (6 shared papers)Stéphane G. Roux (3 shared papers)S. G. Roux (2 shared papers)Benjamin Audit (1 shared paper)Cédric Vaillant (1 shared paper)Jean–François Muzy (1 shared paper)Pierre Kestener (1 shared paper)Françoise Argoul (1 shared paper)
- Journals
- The European Physical Journal B (4 papers)IEEE Transactions on Medical Imaging (1 paper)Physical Review Letters (1 paper)Advances in imaging and electron physics (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
N. Decoster
8 papers receiving 495 citations
Peers
Comparison fields: 5 of 81
- Economics and Econometrics 187
- Computer Vision and Pattern Recognition 139
- Finance 57
- Statistical and Nonlinear Physics 65
- Condensed Matter Physics 52
Countries citing papers authored by N. Decoster
This map shows the geographic impact of N. Decoster'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. Decoster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Decoster more than expected).
Fields of papers citing papers by N. Decoster
This network shows the impact of papers produced by N. Decoster. 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. Decoster. The network helps show where N. Decoster may publish in the future.
Co-authors
The 11 scholars most cited alongside N. Decoster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 157 | |
| 2 | 2002 | 92 | |
| 3 | 2000 | 66 | |
| 4 | 2000 | 65 | |
| 5 | 2003 | 60 | |
| 6 | 1999 | 43 | |
| 7 | 2014 | 23 | |
| 8 | 1998 | 13 |
About N. Decoster
N. Decoster is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics, Finance, Media Technology and Atmospheric Science, having authored 8 papers that have together received 519 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Image and Signal Denoising Methods (2 papers), Financial Risk and Volatility Modeling (2 papers), Pickering emulsions and particle stabilization (1 paper), Theoretical and Computational Physics (1 paper), Medical Image Segmentation Techniques (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Economics and Econometrics (187 citations), Computer Vision and Pattern Recognition (139 citations), Finance (57 citations), Statistical and Nonlinear Physics (65 citations) and Condensed Matter Physics (52 citations). N. Decoster has collaborated with scholars based in France and United States. Frequent co-authors include A. Arnéodo, Stéphane G. Roux, S. G. Roux, Benjamin Audit, Cédric Vaillant, Jean–François Muzy, Pierre Kestener, Françoise Argoul, Chrystel Faure and Laurent Risser. Their work appears in journals such as The European Physical Journal B, IEEE Transactions on Medical Imaging, Physical Review Letters and Advances in imaging and electron physics.
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.