Marco Körner

3.3k citations
58 papers · 1.8k · 2 hit papers · h-index 21

Impact in

Papers in

Marco Körner

54 papers receiving 1.8k citations

Marco Körner's Hit Papers

Self-attention for raw optical Satellite Time Series Classification 2020 · 241 citations
2410+2+5Years since publication50100150200250

Peers

Marco Körner
Comparison fields: 5 of 105
  • Media Technology 555
  • Environmental Engineering 447
  • Geology 137
  • Computer Vision and Pattern Recognition 470
  • Ecology 491
Replace Yuanxin Ye with:
Yuanxin Ye China
Farhad Samadzadegan Iran
Isabel Sargent United Kingdom
Costas Armenakis Canada
Xinchang Zhang China
Michal Shimoni Belgium
Quanlong Feng China
Ying Sun China
Linlin Xu Canada
Mohammad Javad Valadan Zoej Iran
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Citations per field
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Citations per year

Countries citing papers authored by Marco Körner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Building instance classification using street view images
Hit paper breakdown →
2018274
2
Self-attention for raw optical Satellite Time Series Classification
Hit paper breakdown →
2020241
3 2017173
4 2018118
5 2016106
6 202281
7 202067
8 201765
9 201963
10 202061
11 201645
12
Data association for multi-object Tracking-by-Detection in multi-camera networks
201239
13 202235
14 202334
15 202032
16 201931
17 202331
18 201829
19 201726
20 201824

About Marco Körner

Marco Körner is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Environmental Engineering, Global and Planetary Change and Ecology, having authored 58 papers that have together received 1.8k 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 (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Media Technology (555 citations), Environmental Engineering (447 citations), Geology (137 citations), Computer Vision and Pattern Recognition (470 citations) and Ecology (491 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, Markus Reichstein and Basil Kraft. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing, Scientific Data, Computer Vision and Image Understanding and IEEE Journal of Selected Topics in Applied Earth Observations 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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