Marc Rußwurm
- Media Technology top 2%
- Remote-Sensing Image Classification 9
- Ecology top 5%
- Remote Sensing in Agriculture 9
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 4
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
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- Microplastics and Plastic Pollution 4
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- Automated Road and Building Extraction 3
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- Time Series Analysis and Forecasting 3
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- Advanced Neural Network Applications 3
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- Water Quality Monitoring Technologies 3
- Co-authors
- Marco KörnerDevis TuiaSébastien LefèvreCharlotte PelletierTim G. J. RudnerPiotr BilińskiBenjamin BischkeVeronika Kopačková
- Journals
- SHILAP Revista de lepidopterología (2 papers)Remote Sensing of Environment (1 paper)Geophysical Research Letters (1 paper)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Marc Rußwurm
24 papers receiving 607 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Media Technology 167
- Ecology 312
- Environmental Engineering 121
- Atmospheric Science 112
- Global and Planetary Change 133
Countries citing papers authored by Marc Rußwurm
This map shows the geographic impact of Marc Rußwurm'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 Marc Rußwurm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Rußwurm more than expected).
Fields of papers citing papers by Marc Rußwurm
This network shows the impact of papers produced by Marc Rußwurm. 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 Marc Rußwurm. The network helps show where Marc Rußwurm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Rußwurm, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 10 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 17 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 53 | |
| 15 | DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space | 2021 | 10 |
| 16 | 2021 | 7 | |
| 17 | 2020 | 61 | |
| 18 | 2019 | 73 | |
| 19 | Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery | 2018 | 3 |
| 20 | 2017 | 63 |
About Marc Rußwurm
Marc Rußwurm is a scholar working on Media Technology, Ecological Modeling and Ecology, having authored 27 papers that have together received 619 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Remote-Sensing Image Classification (9 papers), Remote Sensing and LiDAR Applications (4 papers), Microplastics and Plastic Pollution (4 papers), Automated Road and Building Extraction (3 papers), Time Series Analysis and Forecasting (3 papers), Advanced Neural Network Applications (3 papers) and Water Quality Monitoring Technologies (3 papers). The work is most often cited by research in Media Technology (167 citations), Ecology (312 citations) and Environmental Engineering (121 citations). Marc Rußwurm has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Marco Körner, Devis Tuia, Sébastien Lefèvre, Charlotte Pelletier, Tim G. J. Rudner, Piotr Biliński, Benjamin Bischke, Veronika Kopačková, Ramona Pelich and Nicolas Longépé. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Geophysical Research 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.