Romain Murenzi
- Computer Vision and Pattern Recognition top 2%
- Applied Mathematics top 2%
- Media Technology top 2%
- Geophysics top 10%
- Computational Mechanics top 10%
- Co-authors
- Jean-Pierre AntoinePierre VandergheynstS. Twareque AliBernard PietteLance KaplanCarlos R. HandyJuan ElezgarayG. Grasseau
- Topics
- Image and Signal Denoising Methods (29 papers)Advanced Image Fusion Techniques (9 papers)Mathematical Analysis and Transform Methods (9 papers)
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Romain Murenzi
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 668
- Applied Mathematics 230
- Media Technology 228
- Geophysics 148
- Computational Mechanics 72
Countries citing papers authored by Romain Murenzi
This map shows the geographic impact of Romain Murenzi'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 Romain Murenzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Murenzi more than expected).
Fields of papers citing papers by Romain Murenzi
This network shows the impact of papers produced by Romain Murenzi. 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 Romain Murenzi. The network helps show where Romain Murenzi may publish in the future.
Co-authorship network of co-authors of Romain Murenzi
This figure shows the co-authorship network connecting the top 25 collaborators of Romain Murenzi. A scholar is included among the top collaborators of Romain Murenzi 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 Romain Murenzi. Romain Murenzi 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 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 215 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 31 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 80 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | Two-dimensional wavelet analysis in image processing | 6 |
| 20 | Isotropic and anisotropic multidimensional wavelets: Applications to the analysis of two-dimensional fields | 1 |
About Romain Murenzi
Romain Murenzi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (29 papers), Advanced Image Fusion Techniques (9 papers) and Mathematical Analysis and Transform Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (668 citations), Media Technology (228 citations) and Applied Mathematics (230 citations). Romain Murenzi has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Jean-Pierre Antoine, Pierre Vandergheynst, S. Twareque Ali, Bernard Piette, Lance Kaplan, Carlos R. Handy, Juan Elezgaray, G. Grasseau, A. Arnéodo and Françoise Argoul. Their work appears in journals such as Nature, IEEE Transactions on Image Processing and Physical Review A.
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.