Teja Kattenborn

56 papers receiving 3.7k citations

Teja Kattenborn's Hit Papers

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing 2021 · 1.2k citations
1.2k0+2+5Years since publication2505007501000

Peers

Teja Kattenborn
Comparison fields: 5 of 143
  • Ecological Modeling 607
  • Environmental Engineering 1.6k
  • Ecology 2.2k
  • Global and Planetary Change 921
  • Horticulture 35
Replace José A. Jiménez-Berni with:
José A. Jiménez-Berni Spain
Lammert Kooistra Netherlands
Yanjun Su China
Helge Aasen Switzerland
Francisca López Granados Spain
Fabian Ewald Fassnacht Germany
Giorgos Mountrakis United States
Michele Dalponte Italy
Lola Suárez Australia
Jan van Aardt United States
Teja Kattenborn relative to José A. Jiménez-Berni Spain José A. Jiménez-Berni's profile →
Citations per field
00.5×2.9×
José A. Jiménez-Berni · 1×
Citations per year

Countries citing papers authored by Teja Kattenborn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Hit paper breakdown →
20211173
2
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
Hit paper breakdown →
2018276
3
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
Hit paper breakdown →
2020266
4 2019198
5 2019196
6 2019144
7 2013131
8 2020113
9 202089
10 201781
11 201978
12 202277
13 201876
14 201465
15 201457
16 202057
17 201753
18 201952
19 201950
20 201750

About Teja Kattenborn

Teja Kattenborn is a scholar working on Ecology, Ecological Modeling, Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation, having authored 61 papers that have together received 3.8k 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), Leaf Properties and Growth Measurement (6 papers), Forest ecology and management (6 papers) and Forest Ecology and Biodiversity Studies (5 papers). The work is most often cited by research in Ecological Modeling (607 citations), Environmental Engineering (1.6k citations), Ecology (2.2k citations), Global and Planetary Change (921 citations) and Horticulture (35 citations). Teja Kattenborn has collaborated with scholars based in Germany, Spain and United Kingdom. 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, Methods in Ecology and Evolution, Biogeosciences, Remote Sensing in Ecology and Conservation 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.

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