Sander Bosch

1.8k total citations
19 papers, 920 citations indexed

About

Sander Bosch is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sander Bosch has authored 19 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sander Bosch's work include Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (10 papers) and Face Recognition and Perception (9 papers). Sander Bosch is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (10 papers) and Face Recognition and Perception (9 papers). Sander Bosch collaborates with scholars based in Netherlands, Germany and Argentina. Sander Bosch's co-authors include Marcel van Gerven, Nadine Dijkstra, Christian F. Doeller, Janneke F. M. Jehee, Guillén Fernández, Umut Güçlü, Katja Seeliger, Rob van Lier, Pim Mostert and Floris P. de Lange and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Sander Bosch

18 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sander Bosch Netherlands 14 760 135 96 84 78 19 920
Stephanie A. McMains United States 12 1.3k 1.8× 214 1.6× 136 1.4× 51 0.6× 97 1.2× 18 1.4k
Edward H. Silson United States 15 850 1.1× 79 0.6× 125 1.3× 59 0.7× 69 0.9× 37 960
Jascha D. Swisher United States 14 1.3k 1.8× 276 2.0× 122 1.3× 98 1.2× 90 1.2× 19 1.4k
Iris I. A. Groen Netherlands 15 782 1.0× 85 0.6× 278 2.9× 50 0.6× 70 0.9× 34 924
Ryan E. B. Mruczek United States 13 971 1.3× 79 0.6× 72 0.8× 74 0.9× 134 1.7× 29 1.1k
Stephenie Harrison United States 8 1.3k 1.7× 182 1.3× 52 0.5× 67 0.8× 123 1.6× 8 1.4k
Nadine Dijkstra United Kingdom 11 729 1.0× 163 1.2× 48 0.5× 25 0.3× 108 1.4× 21 862
Hinze Hogendoorn Netherlands 19 1.2k 1.6× 289 2.1× 86 0.9× 86 1.0× 219 2.8× 62 1.4k
Isabel Arend Israel 16 620 0.8× 203 1.5× 42 0.4× 55 0.7× 89 1.1× 46 836
Anthony Stigliani United States 11 578 0.8× 91 0.7× 99 1.0× 24 0.3× 67 0.9× 16 643

Countries citing papers authored by Sander Bosch

Since Specialization
Citations

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

Fields of papers citing papers by Sander Bosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Bosch

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

All Works

19 of 19 papers shown
1.
Bosch, Sander, et al.. (2025). Understanding Sarcasm’s Neural Correlates Through a Novel fMRI Spanish Paradigm. Brain Topography. 38(4). 46–46.
2.
Güçlütürk, Yağmur, Luca Ambrogioni, Gabriëlle Ras, et al.. (2022). Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space. Scientific Reports. 12(1). 141–141. 20 indexed citations
3.
Dijkstra, Nadine, Simon van Gaal, Linda Geerligs, Sander Bosch, & Marcel van Gerven. (2021). No Evidence for Neural Overlap between Unconsciously Processed and Imagined Stimuli. eNeuro. 8(5). ENEURO.0228–21.2021. 10 indexed citations
4.
Bosch, Sander, et al.. (2021). Population codes of prior knowledge learned through environmental regularities. Scientific Reports. 11(1). 640–640. 3 indexed citations
5.
Bosch, Sander, et al.. (2020). A WORLDWIDE 3D GCP DATABASE INHERITED FROM 20 YEARS OF MASSIVE MULTI-SATELLITE OBSERVATIONS. SHILAP Revista de lepidopterología. V-2-2020. 15–23. 7 indexed citations
6.
Dijkstra, Nadine, et al.. (2019). Eye movements explain decodability during perception and cued attention in MEG. NeuroImage. 195. 444–453. 48 indexed citations
7.
Dijkstra, Nadine, Sander Bosch, & Marcel van Gerven. (2019). Shared Neural Mechanisms of Visual Perception and Imagery. Trends in Cognitive Sciences. 23(5). 423–434. 200 indexed citations
8.
Thielen, Jordy, Sander Bosch, Tessa M. van Leeuwen, Marcel van Gerven, & Rob van Lier. (2019). Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience. Scientific Reports. 9(1). 17456–17456. 23 indexed citations
9.
Dijkstra, Nadine, Max Hinne, Sander Bosch, & Marcel van Gerven. (2019). Between-subject variability in the influence of mental imagery on conscious perception. Scientific Reports. 9(1). 15658–15658. 17 indexed citations
10.
Thielen, Jordy, Sander Bosch, Tessa M. van Leeuwen, Marcel van Gerven, & Rob van Lier. (2019). Neuroimaging Findings on Amodal Completion: A Review. i-Perception. 10(2). 981111599–981111599. 27 indexed citations
11.
Dijkstra, Nadine, et al.. (2018). Differential temporal dynamics during visual imagery and perception. eLife. 7. 70 indexed citations
12.
Güçlütürk, Yağmur, Umut Güçlü, Katja Seeliger, et al.. (2017). Reconstructing perceived faces from brain activations with deep adversarial neural decoding. Radboud Repository (Radboud University). 30. 4246–4257. 40 indexed citations
13.
Dijkstra, Nadine, Sander Bosch, & Marcel van Gerven. (2017). Vividness of Visual Imagery Depends on the Neural Overlap with Perception in Visual Areas. Journal of Neuroscience. 37(5). 1367–1373. 176 indexed citations
14.
Seeliger, Katja, Matthias Fritsche, Umut Güçlü, et al.. (2017). Convolutional neural network-based encoding and decoding of visual object recognition in space and time. NeuroImage. 180(Pt A). 253–266. 75 indexed citations
15.
Bosch, Sander, et al.. (2016). Mnemonic convergence in the human hippocampus. Nature Communications. 7(1). 11991–11991. 54 indexed citations
16.
Bosch, Sander, Janneke F. M. Jehee, Guillén Fernández, & Christian F. Doeller. (2014). Reinstatement of Associative Memories in Early Visual Cortex Is Signaled by the Hippocampus. Journal of Neuroscience. 34(22). 7493–7500. 105 indexed citations
17.
Bosch, Sander, Sebastiaan F.W. Neggers, & Stefan Van der Stigchel. (2012). The Role of the Frontal Eye Fields in Oculomotor Competition: Image-Guided TMS Enhances Contralateral Target Selection. Cerebral Cortex. 23(4). 824–832. 16 indexed citations
18.
Stigchel, Stefan Van der, Sebastiaan F.W. Neggers, & Sander Bosch. (2012). The role of the frontal eye fields in oculomotor competition: image-guided TMS enhances contralateral target selection. Journal of Vision. 12(9). 1251–1251. 1 indexed citations
19.
Ham, Ineke J.M. van der, et al.. (2010). Spatial and temporal aspects of navigation in two neurological patients. Neuroreport. 21(10). 685–689. 28 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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