Rob van Lier

2.7k citations
90 papers · 1.6k · h-index 23

Impact in

Papers in

    • Visual perception and processing mechanisms 54
    • Tactile and Sensory Interactions 17
    • Face Recognition and Perception 14
    • Neural dynamics and brain function 11
    • Color perception and design 18

Rob van Lier

86 papers receiving 1.6k citations

Peers

Rob van Lier
Comparison fields: 5 of 131
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 382
  • Social Psychology 428
  • Computer Vision and Pattern Recognition 287
  • Sensory Systems 63
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Citations per year

Countries citing papers authored by Rob van Lier

Since Specialization
Citations

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

Fields of papers citing papers by Rob van Lier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob van Lier. 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 Rob van Lier. The network helps show where Rob van Lier may publish in the future.

Co-authors

The 25 scholars most cited alongside Rob van Lier, 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 Rob van Lier Line = papers co-authored together Rob van Lier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 199496
3 201691
4
The selective muscarinic agonist xanomeline improves both the cognitive deficits and behavioral symptoms of Alzheimer disease.
199789
5 199970
6 202063
7 201263
8 199956
9 201954
10 200649
11 199947
12 201743
13 201541
14
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
201740
15 201138
16 200937
17 201732
18 201331
19 201230
20 201927

About Rob van Lier

Rob van Lier is a scholar working on Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (54 papers), Multisensory perception and integration (18 papers), Color perception and design (18 papers), Tactile and Sensory Interactions (17 papers), Face Recognition and Perception (14 papers), Visual Attention and Saliency Detection (11 papers), Neural dynamics and brain function (11 papers) and Color Science and Applications (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (382 citations), Social Psychology (428 citations), Computer Vision and Pattern Recognition (287 citations) and Sensory Systems (63 citations). Rob van Lier has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Johan Wagemans, Bert Steenbergen, Yağmur Güçlütürk, Marcel van Gerven, Peter A. van der Helm, Emanuel Leeuwenberg, Richard H. A. H. Jacobs, Umut Güçlü, Tessa C.J. de Wit and Anouk de Koning. Their work appears in journals such as Perception, Acta Psychologica, Journal of Experimental Psychology Human Perception & Performance, Journal of Vision and Vision Research.

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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