Adélaïde de Heering

1.9k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Adélaïde de Heering is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adélaïde de Heering has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 25 papers in Experimental and Cognitive Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adélaïde de Heering's work include Face Recognition and Perception (25 papers), Multisensory perception and integration (16 papers) and Evolutionary Psychology and Human Behavior (11 papers). Adélaïde de Heering is often cited by papers focused on Face Recognition and Perception (25 papers), Multisensory perception and integration (16 papers) and Evolutionary Psychology and Human Behavior (11 papers). Adélaïde de Heering collaborates with scholars based in Belgium, Canada and Italy. Adélaïde de Heering's co-authors include Bruno Rossion, Daphne Maurer, Francesca Simion, Chiara Turati, Aliette Lochy, Olivier Collignon, Axel Cleeremans, Valérie Goffaux, Giulia Dormal and Hermann Bulf and has published in prestigious journals such as PLoS ONE, NeuroImage and Current Biology.

In The Last Decade

Adélaïde de Heering

32 papers receiving 1.2k citations

Hit Papers

Rapid categorization of natural face images in the infant... 2015 2026 2018 2022 2015 100 200 300

Peers

Adélaïde de Heering
Comparison fields: 5 of 102
  • Cognitive Neuroscience 932
  • Experimental and Cognitive Psychology 483
  • Computer Vision and Pattern Recognition 239
  • Molecular Biology 151
  • Social Psychology 124
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Citations per field, relative to Adélaïde de Heering
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Citations per year, relative to Adélaïde de Heering
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Countries citing papers authored by Adélaïde de Heering

Since Specialization
Citations

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

Fields of papers citing papers by Adélaïde de Heering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adélaïde de Heering. 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 Adélaïde de Heering. The network helps show where Adélaïde de Heering may publish in the future.

Co-authorship network of co-authors of Adélaïde de Heering

This figure shows the co-authorship network connecting the top 25 collaborators of Adélaïde de Heering. A scholar is included among the top collaborators of Adélaïde de Heering 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 Adélaïde de Heering. Adélaïde de Heering 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
# Work Indexed citations
1 0
2 5
3 17
4 2
5 27
6 10
7 7
8 61
9 6
10 48
11 28
12 42
13 6
14 46
15 1
16 16
17 63
18 28
19 65
20 147

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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