François Waldner
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
- Ecology top 1%
- Remote Sensing in Agriculture
Papers in
- Ecology 41
- Remote Sensing in Agriculture 40
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- Remote-Sensing Image Classification 9
- Co-authors
- Foivos I. DiakogiannisPeter CaccettaChen WuPierre DefournyZvi HochmanFabian LöwDamien JacquesAntonio Di Gregorio
In The Last Decade
François Waldner
50 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Media Technology 652
- Ecology 1.4k
- Environmental Engineering 722
- Global and Planetary Change 877
- Computer Vision and Pattern Recognition 600
Countries citing papers authored by François Waldner
This map shows the geographic impact of François Waldner'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 François Waldner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Waldner more than expected).
Fields of papers citing papers by François Waldner
This network shows the impact of papers produced by François Waldner. 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 François Waldner. The network helps show where François Waldner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside François Waldner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 13 | |
| 2 | 2023 | 17 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 43 | |
| 11 | 2018 | 11 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 42 | |
| 14 | 2017 | 47 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 35 | |
| 17 | 2016 | 59 | |
| 18 | Mapping cropland at 100-m over Sahelian and Sudanian agrosystems: a knowledge-based approach using PROBA-V time-series | 2016 | 2 |
| 19 | Crop identification and growth monitoring along the season with RADARSAT-2 Quad-Polarized time series in Belgium | 2014 | 1 |
| 20 | High Resolution Crop Mapping Along The Growing Season: Methodological Developments Towards An Operational Exploitation Of Sentinel-1, 2 And 3 | 2013 | 1 |
About François Waldner
François Waldner is a scholar working on Ecology, Media Technology, Global and Planetary Change, Environmental Engineering and Forestry, having authored 51 papers that have together received 3.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (40 papers), Land Use and Ecosystem Services (16 papers), Remote Sensing and LiDAR Applications (11 papers), Smart Agriculture and AI (11 papers), Remote-Sensing Image Classification (9 papers), Climate change impacts on agriculture (7 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (652 citations), Ecology (1.4k citations), Environmental Engineering (722 citations), Global and Planetary Change (877 citations) and Computer Vision and Pattern Recognition (600 citations). François Waldner has collaborated with scholars based in Belgium, Australia and Italy. Frequent co-authors include Foivos I. Diakogiannis, Peter Caccetta, Chen Wu, Pierre Defourny, Zvi Hochman, Fabian Löw, Damien Jacques, Antonio Di Gregorio, Steffen Fritz and David Morin. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, ISPRS Journal of Photogrammetry and Remote Sensing, Agricultural and Forest Meteorology and Scientific Reports.
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.