Laëtitia Loncan

823 citations
3 papers · 631 indexed · 1 hit paper · h-index 2
Topics
Remote-Sensing Image Classification (3 papers)Image and Signal Denoising Methods (3 papers)Advanced Image Fusion Techniques (3 papers)
Journals
IEEE Geoscience and Remote Sensing MagazineHAL (Le Centre pour la Communication Scientifique Directe)
Partner nations
FrancePortugalJapan

In The Last Decade

Laëtitia Loncan

3 papers receiving 614 citations

Hit Papers

Pan-sharpening Hyperspectral: revue20152026201820222015200400600

Peers

Laëtitia Loncan
Comparison fields: 5 of 52
  • Media Technology 573
  • Computer Vision and Pattern Recognition 424
  • Biomedical Engineering 45
  • Ecology 41
  • Artificial Intelligence 38
Replace Jiangtao Nie with:
Jiangtao Nie China
Todd Wittman United States
Yancong Wei China
William S. Hungate United States
Yaoguo Zheng China
Luca Capobianco Italy
Chiru Ge China
M.T. Eismann United States
Zhijun Wang China
Shuguo Jiang China
Laëtitia Loncan relative to Jiangtao Nie China Jiangtao Nie's profile →
Citations per field
00.5×10×20×34×
Jiangtao Nie · 1×
Citations per year

Countries citing papers authored by Laëtitia Loncan

Since Specialization
Citations

This map shows the geographic impact of Laëtitia Loncan'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 Laëtitia Loncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laëtitia Loncan more than expected).

Fields of papers citing papers by Laëtitia Loncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laëtitia Loncan. 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 Laëtitia Loncan. The network helps show where Laëtitia Loncan may publish in the future.

Co-authorship network of co-authors of Laëtitia Loncan

This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Loncan. A scholar is included among the top collaborators of Laëtitia Loncan 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 Laëtitia Loncan. Laëtitia Loncan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Laëtitia Loncan

Laëtitia Loncan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 3 papers that have together received 631 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Media Technology (573 citations), Computer Vision and Pattern Recognition (424 citations) and Computational Mathematics (4 citations). Laëtitia Loncan has collaborated with scholars based in France, Portugal and Japan. Frequent co-authors include Miguel A. Veganzones, Miguel Simões, José M. Bioucas‐Dias, Qi Wei, Xavier Briottet, Jocelyn Chanussot, Sophie Fabre, Naoto Yokoya, Giorgio Licciardi and Gemine Vivone. Their work appears in journals such as IEEE Geoscience and Remote Sensing Magazine and HAL (Le Centre pour la Communication Scientifique Directe).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026