François Waldner

50 papers receiving 3.0k citations

François Waldner's Hit Papers

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data 2020 · 1.2k citations
1.2k0+2+4Years since publication4008001.2k

Peers

François Waldner
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
Replace Raul Queiroz Feitosa with:
Raul Queiroz Feitosa Brazil
Aaron E. Maxwell United States
Peter Caccetta Australia
Fariba Mohammadimanesh Canada
Yuhong He Canada
Masoud Mahdianpari Canada
Alireza Sharifi Iran
Quanlong Feng China
Andrea Baraldi Italy
François Waldner relative to Raul Queiroz Feitosa Brazil Raul Queiroz Feitosa's profile →
Citations per field
00.5×3.5×
Raul Queiroz Feitosa · 1×
Citations per year

Countries citing papers authored by François Waldner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with François Waldner Line = papers co-authored together François Waldner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
Hit paper breakdown →
20201222
2 2019201
3 2015159
4 2016151
5 2015119
6 201597
7 201689
8 201583
9 201882
10 201659
11 201656
12 202155
13 201554
14 201950
15 201549
16 201747
17 201546
18 201546
19 201943
20 201742

About François Waldner

François Waldner is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Plant Science and Media Technology, 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), Remote Sensing and Land Use (6 papers) and Plant Water Relations and Carbon Dynamics (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, Chen Wu, Peter Caccetta, Pierre Defourny, Zvi Hochman, Fabian Löw, Damien Jacques, David Morin, Antonio Di Gregorio and Steffen Fritz. 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.

Explore authors with similar magnitude of impact