Dana Kuefner

1.6k citations
17 papers · 1.3k indexed · 1 hit paper · h-index 14

Dana Kuefner

16 papers receiving 1.3k citations

Hit Papers

XML extraction Test-DEC09-24872010202620152020100200300400

Peers

Dana Kuefner
Comparison fields: 5 of 95
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 501
  • Computer Vision and Pattern Recognition 273
  • Developmental and Educational Psychology 105
  • Social Psychology 137
Replace Nicholas Furl with:
Nicholas Furl United Kingdom
Ewa Wojciulik United States
Yonatan Goshen‐Gottstein Israel
Johan Hulleman United Kingdom
Stéphanie Caharel France
Yoni Pertzov Israel
Anders Petersen Denmark
Anne M. Cleary United States
Yulia Lerner Israel
Nurit Gronau Israel
Dana Kuefner relative to Nicholas Furl United Kingdom Nicholas Furl's profile →
Citations per field
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Nicholas Furl · 1×
Citations per year

Countries citing papers authored by Dana Kuefner

Since Specialization
Citations

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

Fields of papers citing papers by Dana Kuefner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20152
2 20139
3 201318
4 2012107
5 201238
6 2010126
7
XML extraction Test-DEC09-2breakdown →
2010487
8 201041
9 201016
10 200972
11 200951
12 2008123
13 200890
14 200834
15
The effects of experience on the development of face recognition abilities: the emergence of an "Other-Age" effect in infants
20060
16 200631
17 200552

About Dana Kuefner

Dana Kuefner is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (15 papers), Evolutionary Psychology and Human Behavior (7 papers), Face recognition and analysis (6 papers), Visual Attention and Saliency Detection (4 papers), Psychology of Moral and Emotional Judgment (4 papers), Visual perception and processing mechanisms (3 papers), Multisensory perception and integration (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (501 citations) and Computer Vision and Pattern Recognition (273 citations). Dana Kuefner has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Viola Macchi Cassia, Alissa Westerlund, Charles A. Nelson, Marta Picozzi, Benjamin Balas, Vanessa Vogel‐Farley, Tracy Riggins, Emanuela Bricolo, Bruno Rossion and Esther Prieto.

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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