Affective Computing

Affective Computing is a subfield of Human-Computer Interaction that focuses on the design and development of systems capable of recognizing, interpreting, processing, and responding to human emotions.

11.2K

Publications

651.3K

Citations

26.1K

Authors

4.2K

Institutions

Publications per year

2017–2026

6K

Authors

26.1K

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    201 publications · 18.2K citations

    62

    h-index

  2. RW
    Rosalind W. Picard

    Massachusetts Institute of Technology, United States

    67 publications · 10.4K citations

    44

    h-index

  3. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    62 publications · 8.9K citations

    42

    h-index

  4. SN
    Shrikanth Narayanan

    University of Southern California, United States

    64 publications · 11.1K citations

    37

    h-index

  5. CB
    Carlos Busso

    The University of Texas at Dallas, United States

    59 publications · 9.4K citations

    32

    h-index

1–5 of 26.1K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 320 publications · 40.9K citations

    89

    h-index

  2. IEEE Access

    201 publications · 12K citations

    60

    h-index

  3. Sensors

    164 publications · 7.7K citations

    47

    h-index

  4. IEEE Transactions on Multimedia

    83 publications · 7.8K citations

    47

    h-index

  5. Expert Systems with Applications

    74 publications · 5.2K citations

    43

    h-index

1–5