Benjamin de Haas

2.3k total citations
68 papers, 1.3k citations indexed

About

Benjamin de Haas is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Sensory Systems. According to data from OpenAlex, Benjamin de Haas has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 21 papers in Computer Vision and Pattern Recognition and 12 papers in Sensory Systems. Recurrent topics in Benjamin de Haas's work include Face Recognition and Perception (18 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (15 papers). Benjamin de Haas is often cited by papers focused on Face Recognition and Perception (18 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (15 papers). Benjamin de Haas collaborates with scholars based in Germany, United Kingdom and United States. Benjamin de Haas's co-authors include D. Samuel Schwarzkopf, Geraint Rees, Britta Krüger, Karen Zentgraf, Jörn Munzert, Rudolf Stark, Karl R. Gegenfurtner, Sarah White, Elaine J. Anderson and Iván Alvarez and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Benjamin de Haas

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin de Haas Germany 19 837 261 228 195 174 68 1.3k
Yumiko Otsuka Japan 19 792 0.9× 168 0.6× 277 1.2× 259 1.3× 157 0.9× 45 1.1k
Michael Dörr Germany 23 919 1.1× 782 3.0× 253 1.1× 181 0.9× 130 0.7× 93 2.0k
Kerstin Rosander Sweden 21 799 1.0× 97 0.4× 120 0.5× 87 0.4× 534 3.1× 51 1.7k
I Mórocz United States 18 664 0.8× 40 0.2× 337 1.5× 330 1.7× 83 0.5× 41 1.4k
Russell L. Woods United States 27 937 1.1× 299 1.1× 645 2.8× 64 0.3× 120 0.7× 134 2.5k
Lijie Huang China 17 614 0.7× 140 0.5× 278 1.2× 217 1.1× 75 0.4× 64 1.0k
Raimund Kleiser Germany 23 784 0.9× 42 0.2× 244 1.1× 71 0.4× 168 1.0× 47 1.5k
Christian Gerlach Denmark 25 1.2k 1.5× 160 0.6× 178 0.8× 383 2.0× 331 1.9× 83 1.8k
John W. Snell United States 11 453 0.5× 133 0.5× 337 1.5× 63 0.3× 66 0.4× 23 1.3k
Sophie Colnat‐Coulbois France 25 1.1k 1.4× 137 0.5× 118 0.5× 121 0.6× 62 0.4× 80 1.7k

Countries citing papers authored by Benjamin de Haas

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin de Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin de Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin de Haas. A scholar is included among the top collaborators of Benjamin de Haas 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 Benjamin de Haas. Benjamin de Haas 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.
Haas, Benjamin de, et al.. (2023). Reading the mind in the nose. i-Perception. 14(2). 1253944377–1253944377. 1 indexed citations
2.
Haas, Benjamin de, et al.. (2023). Faces in scenes attract rapid saccades. Journal of Vision. 23(8). 11–11. 2 indexed citations
3.
Haas, Benjamin de, et al.. (2023). Quick, eyes! Isolated upper face regions but not artificial features elicit rapid saccades. Journal of Vision. 23(2). 5–5. 5 indexed citations
4.
Schwarzer, Gudrun, et al.. (2023). Free viewing biases for complex scenes in preschoolers and adults. Scientific Reports. 13(1). 11803–11803. 7 indexed citations
5.
Haas, Benjamin de, et al.. (2022). Individual fixation tendencies in person viewing generalize from images to videos. i-Perception. 13(6). 1243909772–1243909772. 10 indexed citations
6.
Haas, Benjamin de, et al.. (2022). Pitfalls in post hoc analyses of population receptive field data. NeuroImage. 263. 119557–119557. 7 indexed citations
7.
Haas, Benjamin de, et al.. (2022). The influence of familiarity on memory for faces and mask wearing. Cognitive Research Principles and Implications. 7(1). 45–45. 1 indexed citations
8.
Alvarez, Iván, et al.. (2021). Heritable functional architecture in human visual cortex. NeuroImage. 239. 118286–118286. 7 indexed citations
9.
Haas, Benjamin de, et al.. (2020). A small stimulus set can reliably estimate individual differences in semantic salience. OSF Preprints (OSF Preprints). 1 indexed citations
10.
Krüger, Britta, et al.. (2020). Practice modality of motor sequences impacts the neural signature of motor imagery. Scientific Reports. 10(1). 19176–19176. 18 indexed citations
11.
Haas, Benjamin de, et al.. (2018). The optimal experimental design for multiple alternatives perceptual search. Attention Perception & Psychophysics. 80(8). 1962–1973. 2 indexed citations
12.
Haas, Benjamin de & D. Samuel Schwarzkopf. (2018). Spatially selective responses to Kanizsa and occlusion stimuli in human visual cortex. Scientific Reports. 8(1). 611–611. 9 indexed citations
13.
Yang, Jinzhong, Benjamin de Haas, Raymond Fang, et al.. (2017). Atlas ranking and selection for automatic segmentation of the esophagus from CT scans. Physics in Medicine and Biology. 62(23). 9140–9158. 25 indexed citations
14.
Papenberg, Nils, et al.. (2016). Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints. Radiation Oncology. 11(1). 122–122. 14 indexed citations
15.
Haas, Benjamin de, D. Samuel Schwarzkopf, Iván Alvarez, et al.. (2016). Perception and Processing of Faces in the Human Brain Is Tuned to Typical Feature Locations. Journal of Neuroscience. 36(36). 9289–9302. 49 indexed citations
16.
17.
Schwarzkopf, D. Samuel, Elaine J. Anderson, Benjamin de Haas, Sarah White, & Geraint Rees. (2014). Larger Extrastriate Population Receptive Fields in Autism Spectrum Disorders. Journal of Neuroscience. 34(7). 2713–2724. 91 indexed citations
18.
Schwarzkopf, D. Samuel, Benjamin de Haas, & Geraint Rees. (2012). Better Ways to Improve Standards in Brain-Behavior Correlation Analysis. Frontiers in Human Neuroscience. 6. 200–200. 86 indexed citations
19.
Haas, Benjamin de & Geraint Rees. (2010). Multiple stages of cross-modal integration in visual processing. Physics of Life Reviews. 7(3). 287–288. 7 indexed citations
20.
Haas, Benjamin de, Michael Scholz, Wolfram S. Kunz, et al.. (2008). Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies. Physics in Medicine and Biology. 53(6). 1751–1771. 77 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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