I Bülthoff

1.1k total citations
63 papers, 766 citations indexed

About

I Bülthoff is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, I Bülthoff has authored 63 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 32 papers in Experimental and Cognitive Psychology and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in I Bülthoff's work include Face Recognition and Perception (39 papers), Evolutionary Psychology and Human Behavior (27 papers) and Face recognition and analysis (16 papers). I Bülthoff is often cited by papers focused on Face Recognition and Perception (39 papers), Evolutionary Psychology and Human Behavior (27 papers) and Face recognition and analysis (16 papers). I Bülthoff collaborates with scholars based in Germany, United Kingdom and South Korea. I Bülthoff's co-authors include HH Bülthoff, Mintao Zhao, Pawan Sinha, Johannes Schultz, Fiona N. Newell, Katharina Dobs, William G. Hayward, Aenne Brielmann, Ingo Kennerknecht and Justin L. Gardner and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

I Bülthoff

60 papers receiving 748 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I Bülthoff Germany 15 607 348 204 128 31 63 766
Stéphanie Caharel France 17 1.3k 2.1× 492 1.4× 281 1.4× 139 1.1× 23 0.7× 28 1.4k
Timothy J. Vickery United States 12 540 0.9× 163 0.5× 88 0.4× 93 0.7× 17 0.5× 30 647
Yaïr Pinto Netherlands 15 624 1.0× 154 0.4× 67 0.3× 135 1.1× 25 0.8× 31 758
Sharon Gilaie‐Dotan United Kingdom 19 870 1.4× 207 0.6× 144 0.7× 137 1.1× 9 0.3× 49 1.0k
Linda Henriksson Finland 18 837 1.4× 120 0.3× 138 0.7× 187 1.5× 15 0.5× 35 1.0k
Ilja G. Sligte Netherlands 16 1.1k 1.8× 232 0.7× 62 0.3× 121 0.9× 18 0.6× 35 1.2k
Javid Sadr United States 10 1.2k 2.0× 456 1.3× 331 1.6× 224 1.8× 32 1.0× 19 1.5k
Johan Hulleman United Kingdom 20 969 1.6× 248 0.7× 165 0.8× 160 1.3× 8 0.3× 52 1.2k
Peter De Graef Belgium 16 834 1.4× 275 0.8× 348 1.7× 72 0.6× 32 1.0× 45 991
Jun Saiki Japan 17 688 1.1× 207 0.6× 111 0.5× 154 1.2× 9 0.3× 91 860

Countries citing papers authored by I Bülthoff

Since Specialization
Citations

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

Fields of papers citing papers by I Bülthoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Bülthoff

This figure shows the co-authorship network connecting the top 25 collaborators of I Bülthoff. A scholar is included among the top collaborators of I Bülthoff 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 I Bülthoff. I Bülthoff 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
1.
Zhao, Mintao & I Bülthoff. (2025). How much face identity information is required for face recognition?. Cognition. 262. 106175–106175.
2.
Bülthoff, I, et al.. (2023). Varying sex and identity of faces affects face categorization differently in humans and computational models. Scientific Reports. 13(1). 16120–16120. 1 indexed citations
3.
Zhao, Mintao, et al.. (2021). Separated and overlapping neural coding of face and body identity. Human Brain Mapping. 42(13). 4242–4260. 11 indexed citations
4.
Bülthoff, I & Mintao Zhao. (2021). Average faces: How does the averaging process change faces physically and perceptually?. Cognition. 216. 104867–104867. 7 indexed citations
5.
Bülthoff, I, et al.. (2020). Investigating holistic face processing within and outside of face-responsive brain regions. NeuroImage. 226. 117565–117565. 4 indexed citations
6.
Rosa, S de la, T Meilinger, Stephan Streuber, et al.. (2020). Visual appearance modulates motor control in social interactions. Acta Psychologica. 210. 103168–103168. 3 indexed citations
7.
Kim, Junsuk, I Bülthoff, & HH Bülthoff. (2020). Cortical Representation of Tactile Stickiness Evoked by Skin Contact and Glove Contact. Frontiers in Integrative Neuroscience. 14. 19–19. 2 indexed citations
8.
Bülthoff, I & Mintao Zhao. (2019). Personally familiar faces: Higher precision of memory for idiosyncratic than for categorical information.. Journal of Experimental Psychology Learning Memory and Cognition. 46(7). 1309–1327. 4 indexed citations
9.
Zhao, Mintao, Javier Romero, Michael J. Black, et al.. (2019). Decoding subcategories of human bodies from both body- and face-responsive cortical regions. NeuroImage. 202. 116085–116085. 7 indexed citations
10.
Kim, Junsuk, I Bülthoff, Sung-Phil Kim, & HH Bülthoff. (2019). Shared neural representations of tactile roughness intensities by somatosensation and touch observation using an associative learning method. Scientific Reports. 9(1). 77–77. 8 indexed citations
11.
Bülthoff, I, Betty J. Mohler, & Ian M. Thornton. (2018). Face recognition of full-bodied avatars by active observers in a virtual environment. Vision Research. 157. 242–251. 10 indexed citations
12.
Dobs, Katharina, Johannes Schultz, I Bülthoff, & Justin L. Gardner. (2018). Task-dependent enhancement of facial expression and identity representations in human cortex. NeuroImage. 172. 689–702. 29 indexed citations
13.
Bülthoff, I, et al.. (2017). Action recognition is viewpoint-dependent in the visual periphery. Vision Research. 135. 10–15. 4 indexed citations
14.
Bülthoff, I & Fiona N. Newell. (2015). Distinctive voices enhance the visual recognition of unfamiliar faces. Cognition. 137. 9–21. 18 indexed citations
15.
Lee, In‐Seon, Hyejung Lee, Hi‐Joon Park, et al.. (2014). Psychological distress and attentional bias toward acne lesions in patients with acne. Psychology Health & Medicine. 19(6). 680–686. 12 indexed citations
16.
Zhao, Mintao, William G. Hayward, & I Bülthoff. (2014). Holistic processing, contact, and the other-race effect in face recognition. Vision Research. 105. 61–69. 47 indexed citations
17.
Brielmann, Aenne, et al.. (2014). Looking at faces from different angles: Europeans fixate different features in Asian and Caucasian faces. Vision Research. 100. 105–112. 33 indexed citations
18.
Bülthoff, I, et al.. (2004). Interactions between audition and vision for face recognition. MPG.PuRe (Max Planck Society). 1 indexed citations
19.
Bülthoff, I, HH Bülthoff, & Pawan Sinha. (1998). Top-down influences on stereoscopic depth-perception. Nature Neuroscience. 1(3). 254–257. 129 indexed citations
20.
Bülthoff, I, Pawan Sinha, & HH Bülthoff. (1996). Top-down influence of recognition on stereoscopic depth perception. Investigative Ophthalmology & Visual Science. 37(3). 8–9. 4 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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