Teja Kattenborn
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications
Papers in
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- Species Distribution and Climate Change 28
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- Remote Sensing and LiDAR Applications 25
- Co-authors
- Felix SchieferStefan HinzJens LeitloffFabian Ewald FassnachtSebastian SchmidtleinBarbara KochJavier LopatinJana Eichel
In The Last Decade
Teja Kattenborn
56 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Ecological Modeling 603
- Environmental Engineering 1.6k
- Ecology 2.1k
- Global and Planetary Change 916
- Horticulture 35
Countries citing papers authored by Teja Kattenborn
This map shows the geographic impact of Teja Kattenborn'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 Teja Kattenborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teja Kattenborn more than expected).
Fields of papers citing papers by Teja Kattenborn
This network shows the impact of papers produced by Teja Kattenborn. 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 Teja Kattenborn. The network helps show where Teja Kattenborn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teja Kattenborn, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 33 | |
| 12 | 2023 | 33 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 72 | |
| 15 | 2022 | 29 | |
| 16 | 2022 | 13 | |
| 17 | Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks Hit paper breakdown → | 2020 | 255 |
| 18 | 2020 | 20 | |
| 19 | 2020 | 110 | |
| 20 | Biogeomorphic feedbacks between paraglacial adjustment and vegetation succession in Mueller glacier foreland, New Zealand | 2019 | 3 |
About Teja Kattenborn
Teja Kattenborn is a scholar working on Ecological Modeling, Environmental Engineering, Ecology, Nature and Landscape Conservation and Horticulture, having authored 58 papers that have together received 3.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (35 papers), Species Distribution and Climate Change (28 papers), Remote Sensing and LiDAR Applications (25 papers), Land Use and Ecosystem Services (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Forest ecology and management (6 papers), Leaf Properties and Growth Measurement (6 papers) and Forest Ecology and Biodiversity Studies (5 papers). The work is most often cited by research in Ecological Modeling (603 citations), Environmental Engineering (1.6k citations), Ecology (2.1k citations), Global and Planetary Change (916 citations) and Horticulture (35 citations). Teja Kattenborn has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Felix Schiefer, Stefan Hinz, Jens Leitloff, Fabian Ewald Fassnacht, Sebastian Schmidtlein, Barbara Koch, Javier Lopatin, Jana Eichel, Pablo J. Zarco‐Tejada and Julian Frey. Their work appears in journals such as Remote Sensing of Environment, Scientific Reports, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing in Ecology and Conservation and Ecological Indicators.
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.