The Knowledge Domain of Affective Computing: A Scientometric Review

  • Maria Helena Pestana
  • Wan-Chen Wang
  • Luiz Moutinho


Purpose—The aim of this study is to investigate the bibliographical information about affective computing identifying advances, trends, major papers, connections, and areas of research.

Design/methodology/approach—A scientometric analysis was applied using CiteSpace, of 5,078 references about affective computing imported from the Web-of-Science Core Collection, covering the period of 1991–2016.

Findings—The most cited, creative burst and central references are displayed by areas of research, using metrics and throughout-time visualization.

Research limitations/implications—Interpretation is limited to references retrieved from the Web-of-Science Core Collection in the fields of management, psychology, and marketing. Nevertheless, the richness of bibliographical data obtained, largely compensates this limitation.

Practical implications—The study provides managers with a sound body of knowledge on affective computing, with which they can capture general public emotion in respect of their products and services, and on which they can base their marketing intelligence gathering and strategic planning.

Originality/value—The chapter provides new opportunities for companies to enhance their capabilities in terms of customer relationships.


Affective computing Knowledge domain Scientometric CiteSpace 


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Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Maria Helena Pestana
    • 1
  • Wan-Chen Wang
    • 2
  • Luiz Moutinho
    • 3
    • 4
  1. 1.ISCTE_IULLisbonPortugal
  2. 2.Feng Chia UniversityTaiwanRepublic of China
  3. 3.University of SuffolkSuffolk, EnglandUK
  4. 4.The University of the South PacificSuvaFiji

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