D. Laugier

991 citations
3 papers · 87 · h-index 2

Impact in

    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Motor Control and Adaptation
    • Face Recognition and Perception
    • Gaze Tracking and Assistive Technology

Papers in

    • Advanced Image and Video Retrieval Techniques 1
    • Medical Image Segmentation Techniques 1
    • Advanced Neural Network Applications 1
    • EEG and Brain-Computer Interfaces 1
    • Neural and Behavioral Psychology Studies 1
    • Visual perception and processing mechanisms 1

D. Laugier

3 papers receiving 87 citations

Peers

D. Laugier
Comparison fields: 5 of 23
  • Cognitive Neuroscience 79
  • Human-Computer Interaction 9
  • Experimental and Cognitive Psychology 16
  • Sensory Systems 5
  • General Decision Sciences 1
Replace Nika Adamian with:
Nika Adamian United Kingdom
Laurence Ris Belgium
Benjamin Peters Germany
Stefan Czoschke Germany
Naghmeh Rastegar Canada
Jayalakshmi Viswanathan Canada
W.P.C. Zeeman Netherlands
Julien Kronegg Switzerland
Susanne Schmehl Austria
William Xiang Quan Ngiam United States
D. Laugier relative to Nika Adamian United Kingdom Nika Adamian's profile →
Citations per field
00.5×1.5×2.3×
Nika Adamian · 1×
Citations per year

Countries citing papers authored by D. Laugier

Since Specialization
Citations

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

Fields of papers citing papers by D. Laugier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside D. Laugier, 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 D. Laugier Line = papers co-authored together D. Laugier links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About D. Laugier

D. Laugier is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Plant Science, Analytical Chemistry and Infectious Diseases, having authored 3 papers that have together received 87 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper), Medical Image Segmentation Techniques (1 paper), Smart Agriculture and AI (1 paper), Advanced Neural Network Applications (1 paper), Neural and Behavioral Psychology Studies (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (79 citations), Human-Computer Interaction (9 citations), Experimental and Cognitive Psychology (16 citations), Sensory Systems (5 citations) and General Decision Sciences (1 citation). D. Laugier has collaborated with scholars based in France. Frequent co-authors include Éric Castet, Anna Montagnini, Guillaume S. Masson and C. Fernández‐Maloigne. Their work appears in journals such as Journal of Vision.

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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