Multimodal Analysis

Multimodal Analysis is a scholarly methodology within digital humanities that integrates and interprets multiple semiotic modes—such as text, image, sound, and gesture—within a unified analytic framework to examine how meaning is constructed across diverse communicative forms.

2.5K

Publications

163.9K

Citations

6.8K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.3K

Authors

6.8K

  1. LM
    Louis‐Philippe Morency

    Carnegie Mellon University, United States

    35 publications · 10.8K citations

    28

    h-index

  2. KL
    Kay L. O’Halloran

    Curtin University, Australia

    29 publications · 1.8K citations

    21

    h-index

  3. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    22 publications · 4K citations

    17

    h-index

  4. SO
    Sharon Oviatt

    Oregon Health & Science University, United States

    19 publications · 2.5K citations

    17

    h-index

  5. ST
    Sabine Tan

    Curtin University, Australia

    23 publications · 927 citations

    16

    h-index

1–5 of 6.8K

Venues

  1. Visual Communication

    50 publications · 5K citations

    33

    h-index

  2. arXiv (Cornell University)

    Repository · 61 publications · 4K citations

    29

    h-index

  3. Journal of Pragmatics

    34 publications · 4.7K citations

    26

    h-index

  4. Information Fusion

    27 publications · 2.3K citations

    26

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 24 publications · 2.4K citations

    21

    h-index

1–5