Bart Machilsen

565 citations
17 papers · 379 · h-index 10

Impact in

Papers in

    • Visual perception and processing mechanisms 12
    • Face Recognition and Perception 3
    • Neural dynamics and brain function 3
    • Aesthetic Perception and Analysis 2
    • Neural and Behavioral Psychology Studies 2
    • Color perception and design 4

Bart Machilsen

16 papers receiving 373 citations

Peers

Bart Machilsen
Comparison fields: 5 of 67
  • Cognitive Neuroscience 340
  • Experimental and Cognitive Psychology 87
  • Computer Vision and Pattern Recognition 67
  • Social Psychology 51
  • Sensory Systems 9
Replace Stéphane J.M. Rainville with:
Stéphane J.M. Rainville Canada
Jeounghoon Kim South Korea
Gouki Okazawa Japan
David A. Tovar United States
Linus Holm Sweden
Vladimir Y. Vildavski United States
Cristina Meinecke Germany
Juraj Mesík United States
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Citations per field
00.5×2.9×
Stéphane J.M. Rainville · 1×
Citations per year

Countries citing papers authored by Bart Machilsen

Since Specialization
Citations

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

Fields of papers citing papers by Bart Machilsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Bart Machilsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bart Machilsen Line = papers co-authored together Bart Machilsen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009163
2 201041
3 201134
4 201334
5 201028
6 201119
7 200716
8 201213
9 201310
10 20159
11 20146
12 20132
13
The role of familiarity and predictability in contour grouping
20131
14 20131
15 20131
16 20151
17 20110

About Bart Machilsen

Bart Machilsen is a scholar working on Cognitive Neuroscience, Social Psychology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Media Technology, having authored 17 papers that have together received 379 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Multisensory perception and integration (4 papers), Color perception and design (4 papers), Face Recognition and Perception (3 papers), Neural dynamics and brain function (3 papers), Aesthetic Perception and Analysis (2 papers), Visual Attention and Saliency Detection (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (340 citations), Experimental and Cognitive Psychology (87 citations), Computer Vision and Pattern Recognition (67 citations), Social Psychology (51 citations) and Sensory Systems (9 citations). Bart Machilsen has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Johan Wagemans, Matthias Pauwels, Kathleen Vancleef, Sven Panis, Nikolay Novitskiy, Maarten De Vos, Stefan Sunaert, Katrien Vanderperren, Bogdan Mijović and Sabine Van Huffel. Their work appears in journals such as Journal of Vision, Perception, NeuroImage, Vision Research and Behavior Research Methods.

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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