Basarab Mateï
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Computational Mechanics top 10%
- Advanced Numerical Analysis Techniques
Papers in
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- Image and Signal Denoising Methods 11
- Face and Expression Recognition 8
- Advanced Image Processing Techniques 5
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- Advanced Clustering Algorithms Research 12
- Neural Networks and Applications 5
- Co-authors
- Albert Cohen (3 shared papers)Nira Dyn (2 shared papers)Yves Meyer (4 shared papers)Albert Cohen (2 shared papers)Francesc Aràndiga (3 shared papers)Younès Bennani (13 shared papers)Rosa Donat (2 shared papers)Nistor Grozavu (11 shared papers)
In The Last Decade
Basarab Mateï
40 papers receiving 344 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 180
- Computational Mechanics 119
- Media Technology 48
- Numerical Analysis 29
- Applied Mathematics 55
Countries citing papers authored by Basarab Mateï
This map shows the geographic impact of Basarab Mateï'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 Basarab Mateï with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basarab Mateï more than expected).
Fields of papers citing papers by Basarab Mateï
This network shows the impact of papers produced by Basarab Mateï. 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 Basarab Mateï. The network helps show where Basarab Mateï may publish in the future.
Co-authors
The 20 scholars most cited alongside Basarab Mateï, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 78 | |
| 2 | 2007 | 41 | |
| 3 | 2002 | 34 | |
| 4 | 2017 | 26 | |
| 5 | 2010 | 22 | |
| 6 | 2005 | 18 | |
| 7 | 2009 | 16 | |
| 8 | 2009 | 13 | |
| 9 | 2008 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2004 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2004 | 5 | |
| 18 | 2004 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2016 | 4 |
About Basarab Mateï
Basarab Mateï is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Applied Mathematics and Computational Theory and Mathematics, having authored 44 papers that have together received 362 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (12 papers), Image and Signal Denoising Methods (11 papers), Face and Expression Recognition (8 papers), Mathematical Analysis and Transform Methods (6 papers), Neural Networks and Applications (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Image Processing Techniques (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Computational Mechanics (119 citations), Media Technology (48 citations), Numerical Analysis (29 citations) and Applied Mathematics (55 citations). Basarab Mateï has collaborated with scholars based in France, Spain and Israel. Frequent co-authors include Albert Cohen, Nira Dyn, Yves Meyer, Albert Cohen, Francesc Aràndiga, Younès Bennani, Rosa Donat, Nistor Grozavu, Guénaël Cabanès and Sylvain Meignen. Their work appears in journals such as Asymptotic Analysis, Comptes Rendus Mathématique, Pattern Recognition, Applied and Computational Harmonic Analysis and Image and Vision Computing.
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.