Video Corpus Analysis

Video Corpus Analysis is a methodological framework within multimodal corpus analysis that systematically examines video-based datasets to investigate naturally occurring social interactions through the integration of visual, auditory, and linguistic modalities.

159

Publications

9.5K

Citations

566

Authors

226

Institutions

Publications per year

2017–2026

59

Authors

566

  1. LM
    Louis‐Philippe Morency

    Carnegie Mellon University, United States

    5 publications · 748 citations

    5

    h-index

  2. TE
    Tony Ezzat

    Massachusetts Institute of Technology, United States

    4 publications · 542 citations

    4

    h-index

  3. EA
    Elisabeth André

    University of Augsburg, Germany

    3 publications · 69 citations

    3

    h-index

  4. MC
    Michael C. Frank

    Stanford University, United States

    3 publications · 175 citations

    3

    h-index

  5. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    3 publications · 490 citations

    3

    h-index

1–5 of 566

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 806 citations

    4

    h-index

  2. Journal of science and medicine in sport

    3 publications · 143 citations

    3

    h-index

  3. Gesture

    3 publications · 117 citations

    3

    h-index

  4. Journal of Sports Sciences

    2 publications · 117 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 56 citations

    2

    h-index

1–5