K. Denys

432 citations
13 papers · 320 · h-index 5

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Face Recognition and Perception
    • Motor Control and Adaptation
    • Functional Brain Connectivity Studies
    • Action Observation and Synchronization

Papers in

K. Denys

11 papers receiving 315 citations

Peers

K. Denys
Comparison fields: 5 of 51
  • Cognitive Neuroscience 228
  • Social Psychology 46
  • Neurology 14
  • Mechanics of Materials 45
  • Computer Vision and Pattern Recognition 36
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Citations per field
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Citations per year

Countries citing papers authored by K. Denys

Since Specialization
Citations

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

Fields of papers citing papers by K. Denys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside K. Denys, 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 K. Denys Line = papers co-authored together K. Denys links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2002250
2 201643
3 20189
4 20175
5 20174
6 20242
7
Identification of plastic material behaviour of thick high strength steels through FEMU techniques
20152
8
The lateral occipital complex in the monkey and the human
20022
9 20161
10
Retinotopic mapping of visual cortex in awake monkeys
20021
11
Can segmentation be distinguished from shape or complex contour processing
20021
12 20170
13 20100

About K. Denys

K. Denys is a scholar working on Mechanical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Pathology and Forensic Medicine, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (4 papers), Metallurgy and Material Forming (4 papers), Metal Forming Simulation Techniques (4 papers), Non-Destructive Testing Techniques (4 papers), Visual perception and processing mechanisms (3 papers), Optical measurement and interference techniques (3 papers), Neural dynamics and brain function (2 papers) and Face Recognition and Perception (1 paper). The work is most often cited by research in Cognitive Neuroscience (228 citations), Social Psychology (46 citations), Neurology (14 citations), Mechanics of Materials (45 citations) and Computer Vision and Pattern Recognition (36 citations). K. Denys has collaborated with scholars based in Belgium, United States and Luxembourg. Frequent co-authors include Stefan Sunaert, Denis Fize, Hendrik Peuskens, James T. Todd, Wim Vanduffel, Guy A. Orban, Sam Coppieters, Dimitri Debruyne, Marc Seefeldt and Steven Cooreman. Their work appears in journals such as Mechanics of Materials, Science, Strain, Journal of Vision and Strojniški vestnik – Journal of Mechanical Engineering.

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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