Géraldine Jeckeln

531 total citations
7 papers, 248 citations indexed

About

Géraldine Jeckeln is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Géraldine Jeckeln has authored 7 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Géraldine Jeckeln's work include Face recognition and analysis (7 papers), Face Recognition and Perception (5 papers) and Evolutionary Psychology and Human Behavior (2 papers). Géraldine Jeckeln is often cited by papers focused on Face recognition and analysis (7 papers), Face Recognition and Perception (5 papers) and Evolutionary Psychology and Human Behavior (2 papers). Géraldine Jeckeln collaborates with scholars based in United States, Australia and France. Géraldine Jeckeln's co-authors include Alice J. O’Toole, Jacqueline G. Cavazos, Carina A. Hahn, Eilidh Noyes, P. Jonathon Phillips, Carlos D. Castillo, Ying Hu, Amy N. Yates, Jun-Cheng Chen and Swami Sankaranarayanan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Behavior Research Methods and British Journal of Psychology.

In The Last Decade

Géraldine Jeckeln

7 papers receiving 235 citations

Peers

Géraldine Jeckeln
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 158
  • Cognitive Neuroscience 129
  • Experimental and Cognitive Psychology 49
  • Signal Processing 40
  • Social Psychology 34
Replace Jacqueline G. Cavazos with:
Jacqueline G. Cavazos United States
Amy N. Yates United States
James D. Dunn Australia
Jonathan Weinel United Kingdom
Vítor Albiero United States
Hayley Ness United Kingdom
Oded Ben‐Tal United Kingdom
Harish Katti India
Eliane Pozzebon Brazil
Ioan Marius Bilasco France
Jacqueline G. Cavazos United States View profile →
Citations per field, relative to Géraldine Jeckeln
Géraldine Jeckeln · 1×
Citations per year, relative to Géraldine Jeckeln
Géraldine Jeckeln · 1×

Countries citing papers authored by Géraldine Jeckeln

Since Specialization
Citations

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

Fields of papers citing papers by Géraldine Jeckeln

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Géraldine Jeckeln

This figure shows the co-authorship network connecting the top 25 collaborators of Géraldine Jeckeln. A scholar is included among the top collaborators of Géraldine Jeckeln 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 Géraldine Jeckeln. Géraldine Jeckeln is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 1
2 6
3 4
4 1
5 2
6 216
7 18

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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2026