Günter Meinhardt

657 citations
46 papers · 456 indexed · h-index 12
Topics
Face Recognition and Perception (21 papers)Visual perception and processing mechanisms (21 papers)Visual Attention and Saliency Detection (13 papers)
Partner nations
GermanySwitzerlandCanada

In The Last Decade

Günter Meinhardt

44 papers receiving 451 citations

Peers

Günter Meinhardt
Comparison fields: 5 of 66
  • Cognitive Neuroscience 368
  • Experimental and Cognitive Psychology 152
  • Computer Vision and Pattern Recognition 132
  • Social Psychology 63
  • Developmental and Educational Psychology 40
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Carl Gaspar United Kingdom
Annelinde R. E. Vandenbroucke Netherlands
Miranda Scolari United States
G. W. Humphreys United Kingdom
Rebecca F. Schwarzlose United States
Hugh Dennett Australia
Talia Brandman Israel
Andrew Chang Canada
Cynthia S. Peng United States
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Citations per field
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Citations per year

Countries citing papers authored by Günter Meinhardt

Since Specialization
Citations

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

Fields of papers citing papers by Günter Meinhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günter Meinhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Günter Meinhardt. A scholar is included among the top collaborators of Günter Meinhardt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Günter Meinhardt. Günter Meinhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 14
3 2
4 33
5 5
6 2
7 4
8 26
9 6
10 24
11 8
12 9
13 17
14 7
15 2
16 9
17 12
18 9
19 5
20 5

About Günter Meinhardt

Günter Meinhardt is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 46 papers that have together received 456 indexed citations. Recurring topics across this work include Face Recognition and Perception (21 papers), Visual perception and processing mechanisms (21 papers) and Visual Attention and Saliency Detection (13 papers). The work is most often cited by research in Cognitive Neuroscience (368 citations), Experimental and Cognitive Psychology (152 citations) and Computer Vision and Pattern Recognition (132 citations). Günter Meinhardt has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Malte Persike, Bozana Meinhardt‐Injac, Moritz M. Daum, Margarete Imhof, Isabelle Boutet, Adrian Schwaninger, Lynn A. Olzak, Jacqueline Zöllig, Karsten Krakow and Inge Seiffge‐Krenke. Their work appears in journals such as PLoS ONE, Cognition and Experimental Brain Research.

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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