Marius Rüetschi
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
- Ecology 8
- Remote Sensing in Agriculture 8
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- Remote Sensing and LiDAR Applications 8
- Co-authors
- David Small (6 shared papers)Lars T. Waser (6 shared papers)Michael E. Schaepman (2 shared papers)Achilleas Psomas (1 shared paper)Nataliia Rehush (1 shared paper)Christian Ginzler (5 shared papers)Nuno Miranda (1 shared paper)Dominique Weber (3 shared papers)
- Journals
- Remote Sensing (3 papers)International Journal of Applied Earth Observation and Geoinformation (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Forestry An International Journal of Forest Research (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Marius Rüetschi
10 papers receiving 292 citations
Peers
Comparison fields: 5 of 46
- Environmental Engineering 184
- Ecological Modeling 52
- Ecology 180
- Global and Planetary Change 110
- Space and Planetary Science 5
Countries citing papers authored by Marius Rüetschi
This map shows the geographic impact of Marius Rüetschi'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 Marius Rüetschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Rüetschi more than expected).
Fields of papers citing papers by Marius Rüetschi
This network shows the impact of papers produced by Marius Rüetschi. 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 Marius Rüetschi. The network helps show where Marius Rüetschi may publish in the future.
Co-authors
The 25 scholars most cited alongside Marius Rüetschi, 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 | 2017 | 95 | |
| 2 | 2019 | 78 | |
| 3 | 2021 | 48 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2025 | 0 |
About Marius Rüetschi
Marius Rüetschi is a scholar working on Ecology, Environmental Engineering, Ecological Modeling, Aerospace Engineering and Global and Planetary Change, having authored 12 papers that have together received 298 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (8 papers), Species Distribution and Climate Change (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers), Botany and Plant Ecology Studies (1 paper), Landslides and related hazards (1 paper), Forest Management and Policy (1 paper) and Advanced SAR Imaging Techniques (1 paper). The work is most often cited by research in Environmental Engineering (184 citations), Ecological Modeling (52 citations), Ecology (180 citations), Global and Planetary Change (110 citations) and Space and Planetary Science (5 citations). Marius Rüetschi has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include David Small, Lars T. Waser, Michael E. Schaepman, Achilleas Psomas, Nataliia Rehush, Christian Ginzler, Nuno Miranda, Dominique Weber, Martina L. Hobi and Gian‐Kasper Plattner. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Geoscience and Remote Sensing, Forestry An International Journal of Forest Research and ISPRS Journal of Photogrammetry and Remote Sensing.
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.