Marco Körner
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote-Sensing Image Classification 11
- Geology 9
- 3D Surveying and Cultural Heritage 9
- Co-authors
- Marc RußwurmXiao Xiang ZhuYuanyuan WangJian KangHannes TaubenböckKsenia BittnerPeter ReinartzFriedrich Fraundorfer
- Journals
- ISPRS Journal of Photogrammetry and Remote Sensing (3 papers)Remote Sensing (3 papers)Scientific Data (2 papers)Geoscientific model development (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Marco Körner
52 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Media Technology 550
- Environmental Engineering 440
- Geology 136
- Computer Vision and Pattern Recognition 463
- Global and Planetary Change 396
Countries citing papers authored by Marco Körner
This map shows the geographic impact of Marco Körner'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 Marco Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Körner more than expected).
Fields of papers citing papers by Marco Körner
This network shows the impact of papers produced by Marco Körner. 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 Marco Körner. The network helps show where Marco Körner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Körner, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 73 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 61 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 62 | |
| 16 | 2019 | 28 | |
| 17 | Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery | 2018 | 3 |
| 18 | 2017 | 63 | |
| 19 | Quantitative Analysis of Pathological Mitochondrial Morphology in Neuronal Cells in Confocal Laser Scanning Microscopy Images | 2014 | 4 |
| 20 | Data association for multi-object Tracking-by-Detection in multi-camera networks | 2012 | 39 |
About Marco Körner
Marco Körner is a scholar working on Media Technology, Geology, Computer Vision and Pattern Recognition, Environmental Engineering and Global and Planetary Change, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (13 papers), Remote Sensing in Agriculture (11 papers), Remote-Sensing Image Classification (11 papers), 3D Surveying and Cultural Heritage (9 papers), Advanced Vision and Imaging (9 papers), Video Surveillance and Tracking Methods (6 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Media Technology (550 citations), Environmental Engineering (440 citations), Geology (136 citations), Computer Vision and Pattern Recognition (463 citations) and Global and Planetary Change (396 citations). Marco Körner has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Marc Rußwurm, Xiao Xiang Zhu, Yuanyuan Wang, Jian Kang, Hannes Taubenböck, Ksenia Bittner, Peter Reinartz, Friedrich Fraundorfer, Basil Kraft and Markus Reichstein. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing, Scientific Data, Geoscientific model development and Computers and Electronics in Agriculture.
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.