Multimodal Corpora

Multimodal Corpus is a systematically structured collection of naturalistic language data that integrates multiple semiotic modes—such as audio, video, gesture, and text—alongside verbal language to enable the analysis of how meaning is constructed through the interplay of diverse communicative resources.

2.1K

Publications

138.5K

Citations

7.9K

Authors

1.4K

Institutions

Publications per year

2017–2026

1.3K

Authors

7.9K

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    43 publications · 5.4K citations

    24

    h-index

  2. LM
    Louis‐Philippe Morency

    Carnegie Mellon University, United States

    25 publications · 4.9K citations

    22

    h-index

  3. DG
    Daniel Gática-Pérez

    Idiap Research Institute, Switzerland

    16 publications · 751 citations

    14

    h-index

  4. LD
    Laurence Devillers

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    16 publications · 592 citations

    13

    h-index

  5. RM
    Rada Mihalcea

    University of Michigan, United States

    15 publications · 733 citations

    13

    h-index

1–5 of 7.9K

Venues

  1. arXiv (Cornell University)

    Repository · 181 publications · 12.6K citations

    46

    h-index

  2. IEEE Transactions on Affective Computing

    TAC · 34 publications · 6.7K citations

    28

    h-index

  3. IEEE Transactions on Multimedia

    22 publications · 1.9K citations

    20

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 25 publications · 1.2K citations

    20

    h-index

  5. IEEE Access

    24 publications · 1.7K citations

    18

    h-index

1–5