Jacqueline Le Moigne
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Aerospace Engineering top 2%
- Atmospheric Science top 10%
- Artificial Intelligence top 10%
- Co-authors
- Nathan S. NetanyahuDavid M. MountIlya ZavorinTarek El‐GhazawiRobert F. CrompW. J. CampbellJames C. TiltonNargess Memarsadeghi
- Topics
- Medical Image Segmentation Techniques (34 papers)Advanced Image Fusion Techniques (27 papers)Remote-Sensing Image Classification (24 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Jacqueline Le Moigne
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 911
- Media Technology 625
- Aerospace Engineering 503
- Atmospheric Science 224
- Artificial Intelligence 178
Countries citing papers authored by Jacqueline Le Moigne
This map shows the geographic impact of Jacqueline Le Moigne'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 Jacqueline Le Moigne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Le Moigne more than expected).
Fields of papers citing papers by Jacqueline Le Moigne
This network shows the impact of papers produced by Jacqueline Le Moigne. 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 Jacqueline Le Moigne. The network helps show where Jacqueline Le Moigne may publish in the future.
Co-authorship network of co-authors of Jacqueline Le Moigne
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Le Moigne. A scholar is included among the top collaborators of Jacqueline Le Moigne 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 Jacqueline Le Moigne. Jacqueline Le Moigne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | New Observing Strategies (NOS) for Future NASA Earth Science Missions | 1 |
| 3 | 38 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 59 | |
| 7 | 166 | |
| 8 | 0 | |
| 9 | 26 | |
| 10 | 10 | |
| 11 | 79 | |
| 12 | 27 | |
| 13 | Multi-Sensor Image Registration, Fusion and Dimension Reduction | 1 |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 28 | |
| 18 | 3 | |
| 19 | Visual Navigation of Roadways | 3 |
| 20 | 1 |
About Jacqueline Le Moigne
Jacqueline Le Moigne is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (34 papers), Advanced Image Fusion Techniques (27 papers) and Remote-Sensing Image Classification (24 papers). The work is most often cited by research in Media Technology (625 citations), Computer Vision and Pattern Recognition (911 citations) and Aerospace Engineering (503 citations). Jacqueline Le Moigne has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Nathan S. Netanyahu, David M. Mount, Ilya Zavorin, Tarek El‐Ghazawi, Robert F. Cromp, W. J. Campbell, James C. Tilton, Nargess Memarsadeghi, Tarek El‐Ghazawi and James M. Murphy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.