Verena Willenbockel

1.7k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Verena Willenbockel is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Verena Willenbockel has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Social Psychology. Recurrent topics in Verena Willenbockel's work include Face Recognition and Perception (14 papers), Visual perception and processing mechanisms (10 papers) and Visual Attention and Saliency Detection (8 papers). Verena Willenbockel is often cited by papers focused on Face Recognition and Perception (14 papers), Visual perception and processing mechanisms (10 papers) and Visual Attention and Saliency Detection (8 papers). Verena Willenbockel collaborates with scholars based in Canada, Germany and United States. Verena Willenbockel's co-authors include James W. Tanaka, Daniel Fiset, Frédéric Gosselin, Javid Sadr, Grit Herzmann, Tim Curran, Caroline Blais, Melissa L.‐H. Võ, Daniel N. Bub and Martin Arguin and has published in prestigious journals such as Scientific Reports, Neuropsychologia and Journal of Cognitive Neuroscience.

In The Last Decade

Verena Willenbockel

20 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Controlling low-level image properties: The SHINE toolbox

2010 805 citations Verena Willenbockel, Javid Sadr et al. Behavior Research Methods profile →

Peers

Verena Willenbockel

CN

ECP

CVPR

SP

SS

Stéphanie Caharel France

Eunice Yang United States

Liad Mudrik Israel

Jesse Gomez United States

Do-Joon Yi South Korea

Alexis D. J. Makin United Kingdom

Guido Hesselmann Germany

Nancy B. Carlisle United States

Goedele Van Belle Belgium

Chiara Della Libera Italy

Stéphanie Caharel France

Verena Willenbockel

1.3k ×1.3

CN

492 ×1.3

ECP

281 ×1.3

CVPR

139 ×1.0

SP

42 ×0.5

SS

Citations per year, relative to Verena Willenbockel Verena Willenbockel (= 1×) peers Stéphanie Caharel

Countries citing papers authored by Verena Willenbockel

Since Specialization

Citations

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

Fields of papers citing papers by Verena Willenbockel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Willenbockel

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

All Works

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20 of 20 papers shown

1.

Willenbockel, Verena, et al.. (2021). Flexible time course of spatial frequency use during scene categorization. Scientific Reports. 11(1). 14079–14079. 2 indexed citations

2.

Willenbockel, Verena, et al.. (2020). The influence of scene and object orientation on the scene consistency effect. Behavioural Brain Research. 394. 112812–112812. 11 indexed citations

3.

Cornelissen, Tim, et al.. (2018). The role of scene summary statistics in object recognition. Scientific Reports. 8(1). 14666–14666. 25 indexed citations

4.

Willenbockel, Verena, et al.. (2018). Spatial frequency tuning for outdoor scene categorization. Journal of Vision. 18(10). 137–137. 1 indexed citations

5.

Lochy, Aliette, et al.. (2017). Does Extensive Training at Individuating Novel Objects in Adulthood Lead to Visual Expertise? The Role of Facelikeness. Journal of Cognitive Neuroscience. 30(4). 449–467. 9 indexed citations

6.

Willenbockel, Verena, Frédéric Gosselin, & Melissa L.‐H. Võ. (2017). Spatial frequency tuning for indoor scene categorization. Journal of Vision. 17(10). 564–564. 1 indexed citations

7.

Vuong, Quoc C., et al.. (2016). Facelikeness matters: A parametric multipart object set to understand the role of spatial configuration in visual recognition. Visual Cognition. 24(7-8). 406–421. 10 indexed citations

8.

Royer, Jessica, et al.. (2016). The influence of natural contour and face size on the spatial frequency tuning for identifying upright and inverted faces. Psychological Research. 81(1). 13–23. 11 indexed citations

9.

Rourke, Liam, et al.. (2015). The neural correlates of medical expertise.. Journal of Vision. 15(12). 1131–1131. 1 indexed citations

10.

Willenbockel, Verena, et al.. (2013). The informational correlates of conscious and nonconscious face-gender perception. Journal of Vision. 13(2). 10–10. 5 indexed citations

11.

Fiset, Daniel, Caroline Blais, Yong Zhang, et al.. (2012). Caucasian and Asian observers used the same visual features for race categorisation.. Journal of Vision. 12(9). 32–32. 1 indexed citations

12.

Willenbockel, Verena, Franco Leporé, Dang Khoa Nguyen, Alain Bouthillier, & Frédéric Gosselin. (2012). Spatial Frequency Tuning during the Conscious and Non-Conscious Perception of Emotional Facial Expressions – An Intracranial ERP Study. Frontiers in Psychology. 3. 237–237. 35 indexed citations

13.

Willenbockel, Verena, Daniel Fiset, & James W. Tanaka. (2011). Relative Influences of Lightness and Facial Morphology on Perceived Race. Perception. 40(5). 621–624. 13 indexed citations

14.

Herzmann, Grit, Verena Willenbockel, James W. Tanaka, & Tim Curran. (2011). The neural correlates of memory encoding and recognition for own-race and other-race faces. Neuropsychologia. 49(11). 3103–3115. 54 indexed citations

15.

Frey, Hans‐Peter, et al.. (2011). Beyond Correlation: Do Color Features Influence Attention in Rainforest?. Frontiers in Human Neuroscience. 5. 36–36. 19 indexed citations

16.

Willenbockel, Verena, et al.. (2010). The SHINE toolbox for controlling low-level image properties. Journal of Vision. 10(7). 653–653. 36 indexed citations

17.

Willenbockel, Verena, et al.. (2010). Controlling low-level image properties: The SHINE toolbox. Behavior Research Methods. 42(3). 671–684. 805 indexed citations breakdown →

18.

Willenbockel, Verena, Daniel Fiset, Alan Chauvin, et al.. (2010). Does face inversion change spatial frequency tuning?. Journal of Experimental Psychology Human Perception & Performance. 36(1). 122–135. 67 indexed citations

19.

Willenbockel, Verena, Daniel Fiset, Alan Chauvin, et al.. (2010). The face inversion effect is nothing "spatial". Journal of Vision. 8(6). 153–153.

20.

Willenbockel, Verena, et al.. (2009). Sensitivity to spatial frequency and orientation content is not specific to face perception. Vision Research. 49(19). 2353–2362. 21 indexed citations

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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