Emmanuel Maggiori
- Media Technology top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Atmospheric Science top 5%
- Environmental Engineering top 5%
- Ocean Engineering top 5%
- Co-authors
- Pierre AlliezYuliya TarabalkaGuillaume CharpiatYushi ChenPedram GhamisiJón Atli BenediktssonLeyuan FangShutao Li
- Topics
- Image and Signal Denoising Methods (2 papers)Medical Image Segmentation Techniques (2 papers)Engineering and Information Technology (2 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Geoscience and Remote Sensing MagazineIET Computer Vision
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Emmanuel Maggiori
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Media Technology 710
- Computer Vision and Pattern Recognition 354
- Atmospheric Science 352
- Environmental Engineering 228
- Ocean Engineering 208
Countries citing papers authored by Emmanuel Maggiori
This map shows the geographic impact of Emmanuel Maggiori'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 Emmanuel Maggiori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Maggiori more than expected).
Fields of papers citing papers by Emmanuel Maggiori
This network shows the impact of papers produced by Emmanuel Maggiori. 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 Emmanuel Maggiori. The network helps show where Emmanuel Maggiori may publish in the future.
Co-authorship network of co-authors of Emmanuel Maggiori
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Maggiori. A scholar is included among the top collaborators of Emmanuel Maggiori 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 Emmanuel Maggiori. Emmanuel Maggiori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learningbreakdown → | 273 |
| 2 | 4 | |
| 3 | 55 | |
| 4 | Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classificationbreakdown → | 828 |
| 5 | Towards Recovering Architectural Information from Images of Architectural Diagrams | 3 |
| 6 | 10 | |
| 7 | Desarrollo de una gramática para aserciones simples en español y su implementación en Prolog | 2 |
| 8 | FOLST: Una Herramienta Didáctica para la Lógica de Predicados de Primer Orden | 1 |
About Emmanuel Maggiori
Emmanuel Maggiori is a scholar working on Software, Computer Graphics and Computer-Aided Design and Media Technology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (2 papers), Medical Image Segmentation Techniques (2 papers) and Engineering and Information Technology (2 papers). The work is most often cited by research in Media Technology (710 citations), Atmospheric Science (352 citations) and Computer Vision and Pattern Recognition (354 citations). Emmanuel Maggiori has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Pierre Alliez, Yuliya Tarabalka, Guillaume Charpiat, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson, Leyuan Fang, Shutao Li, Andrea Giorgi and Roberto Souza. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine and IET Computer Vision.
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.