Multimodal Data Collection

Multimodal Data Collection is the systematic aggregation of synchronized or aligned data from two or more distinct communication modalities, such as linguistic, visual, auditory, and gestural channels, for the purpose of integrated corpus-based analysis in multimodal research contexts.

379

Publications

24.5K

Citations

2K

Authors

696

Institutions

Publications per year

2017–2026

252

Authors

2K

  1. SJ
    Sanna Järvelä

    University of Oulu, Finland

    10 publications · 775 citations

    10

    h-index

  2. MN
    Michail N. Giannakos

    Norwegian University of Science and Technology, Norway

    8 publications · 792 citations

    8

    h-index

  3. DG
    Dragan Gašević

    Monash University, Australia

    7 publications · 678 citations

    7

    h-index

  4. KS
    Kshitij Sharma

    Norwegian University of Science and Technology, Norway

    7 publications · 774 citations

    7

    h-index

  5. DD
    Daniele Di Mitri

    DIPF | Leibniz Institute for Research and Information in Education, Germany

    6 publications · 452 citations

    6

    h-index

1–5 of 2K

Venues

  1. Sensors

    9 publications · 227 citations

    9

    h-index

  2. British Journal of Educational Technology

    BJET · 9 publications · 1.2K citations

    9

    h-index

  3. Scientific Data

    8 publications · 412 citations

    8

    h-index

  4. NeuroImage

    6 publications · 290 citations

    6

    h-index

  5. Journal of Computer Assisted Learning

    5 publications · 413 citations

    5

    h-index

1–5