Multimodal Corpus Compilation

Multimodal Corpus Compilation is the systematic process of collecting, organizing, and synchronizing heterogeneous data streams—such as text, audio, video, and physiological signals—into a unified digital repository that enables integrated analysis of multimodal interaction and communication.

97

Publications

5K

Citations

401

Authors

154

Institutions

Publications per year

2017–2026

31

Authors

401

  1. RC
    Ronald Carter

    University of Nottingham, United Kingdom

    3 publications · 127 citations

    3

    h-index

  2. FP
    François Portet

    Laboratoire d'Informatique de Grenoble, France

    3 publications · 87 citations

    3

    h-index

  3. EP
    Eric Patterson

    Clemson University, United States

    3 publications · 487 citations

    3

    h-index

  4. SA
    Svenja Adolphs

    University of Nottingham, United Kingdom

    3 publications · 127 citations

    3

    h-index

  5. NC
    Nick Campbell

    Trinity College Dublin, Ireland

    3 publications · 100 citations

    3

    h-index

1–5 of 401

Venues

  1. International Journal of Corpus Linguistics

    IJCL · 3 publications · 65 citations

    3

    h-index

  2. Journal of Pragmatics

    3 publications · 117 citations

    3

    h-index

  3. Computers and the Humanities

    3 publications · 427 citations

    3

    h-index

  4. NeuroImage

    2 publications · 51 citations

    2

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 2 publications · 165 citations

    2

    h-index

1–5