Edgar Körner

1.6k citations
45 papers · 876 indexed · h-index 17

Impact in

Papers in

Edgar Körner

43 papers receiving 811 citations

Peers

Edgar Körner
Comparison fields: 5 of 89
  • Signal Processing 244
  • Computer Vision and Pattern Recognition 335
  • Cognitive Neuroscience 296
  • Computational Mathematics 7
  • Artificial Intelligence 255
Replace Chaitanya Ekanadham with:
Chaitanya Ekanadham United States
Andrew Saxe United Kingdom
P. S. Sathidevi India
Clay D. Spence United States
Jarmo Hurri Finland
Christin Schäfer Germany
Thinh Nguyen United States
Sergio Cruces Spain
A. Ravishankar Rao United States
C. Doncarli France
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Citations per field
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Citations per year

Countries citing papers authored by Edgar Körner

Since Specialization
Citations

This map shows the geographic impact of Edgar 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 Edgar Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edgar Körner more than expected).

Fields of papers citing papers by Edgar Körner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar 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 Edgar Körner. The network helps show where Edgar Körner may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Edgar 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 Edgar Körner Line = papers co-authored together Edgar Körner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20163
2 201427
3 201240
4 201125
5 20099
6 200913
7 200911
8 200818
9 20081
10 200719
11 20074
12 200711
13 200668
14 200615
15 20065
16 200525
17 200533
18 20045
19 200218
20 199948

About Edgar Körner

Edgar Körner is a scholar working on Computational Mathematics, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 45 papers that have together received 876 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Advanced Memory and Neural Computing (8 papers), Neural Networks and Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (6 papers), Visual perception and processing mechanisms (5 papers), Blind Source Separation Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Signal Processing (244 citations), Computer Vision and Pattern Recognition (335 citations), Cognitive Neuroscience (296 citations), Computational Mathematics (7 citations) and Artificial Intelligence (255 citations). Edgar Körner has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Julian Eggert, Heiko Wersing, Marc-Oliver Gewaltig, Volker Willert, Ursula Körner, Andreas Knoblauch, Jürgen Adamy, Tobias Rodemann, Heiko Wersing and Andreas Richter. Their work appears in journals such as Neurocomputing, Neural Networks, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Neural Computation and PLoS ONE.

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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