André Stumpf

28 papers receiving 2.1k citations

André Stumpf's Hit Papers

Object-oriented mapping of landslides using Random Forests 2011 · 607 citations
6070+5+10Years since publication200400600

Peers

André Stumpf
Comparison fields: 5 of 104
  • Management, Monitoring, Policy and Law 1.0k
  • Global and Planetary Change 909
  • Media Technology 379
  • Atmospheric Science 659
  • Environmental Engineering 517
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Tapas R. Martha India
Clemens Eisank Austria
Sigrid Roessner Germany
Joong‐Sun Won South Korea
Daniel Hölbling Austria
Hyung-Sup Jung South Korea
Hermann Kaufmann Germany
Simon Plank Germany
Mehmet Lutfi Süzen Türkiye
Mingsheng Liao China
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Citations per year

Countries citing papers authored by André Stumpf

Since Specialization
Citations

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

Fields of papers citing papers by André Stumpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside André Stumpf, 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 André Stumpf Line = papers co-authored together André Stumpf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Object-oriented mapping of landslides using Random Forests
Hit paper breakdown →
2011607
2 2011253
3 2018174
4 2013171
5 2012148
6 2016121
7 201894
8 201885
9 201380
10 201378
11 201774
12 201962
13 201661
14 201148
15 201646
16 202225
17 201623
18 201611
19 201210
20 20198

About André Stumpf

André Stumpf is a scholar working on Management, Monitoring, Policy and Law, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Ecology, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Landslides and related hazards (14 papers), Remote Sensing and LiDAR Applications (9 papers), Flood Risk Assessment and Management (8 papers), Cryospheric studies and observations (7 papers), Remote Sensing in Agriculture (5 papers), Remote-Sensing Image Classification (5 papers), Satellite Image Processing and Photogrammetry (4 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.0k citations), Global and Planetary Change (909 citations), Media Technology (379 citations), Atmospheric Science (659 citations) and Environmental Engineering (517 citations). André Stumpf has collaborated with scholars based in France, Netherlands and Indonesia. Frequent co-authors include Norman Kerle, Jean‐Philippe Malet, Anne Puissant, Ping Lü, Nicola Casagli, Filsa Bioresita, Christophe Delacourt, Pierre Gançarski, David Michéa and Sabrina Rothmund. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Geoscience and Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

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.

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