Context-aware Computing

Context-Aware Computing is a mobile and ubiquitous computing paradigm that enables an application to sense, interpret, and exploit contextual information about users, devices, and their environment in order to adapt its behavior to the current situation of use.

6.4K

Publications

355.5K

Citations

14.6K

Authors

2.6K

Institutions

Publications per year

2017–2026

1.2K

Authors

14.6K

  1. AK
    Anind K. Dey

    Carnegie Mellon University, United States

    52 publications · 14.7K citations

    37

    h-index

  2. AS
    Albrecht Schmidt

    University of Stuttgart, Germany

    39 publications · 3.4K citations

    23

    h-index

  3. ND
    Nigel Davies

    Lancaster University, United Kingdom

    27 publications · 3.1K citations

    22

    h-index

  4. AZ
    Arkady Zaslavsky

    Monash University, Australia

    43 publications · 4.3K citations

    21

    h-index

  5. RH
    Roy H. Campbell

    University of Illinois Urbana-Champaign, United States

    22 publications · 3.2K citations

    21

    h-index

1–5 of 14.6K

Venues

  1. IEEE Pervasive Computing

    88 publications · 10.9K citations

    49

    h-index

  2. Personal and Ubiquitous Computing

    101 publications · 13.9K citations

    42

    h-index

  3. Pervasive and Mobile Computing

    80 publications · 6.2K citations

    37

    h-index

  4. IEEE Communications Magazine

    59 publications · 6K citations

    35

    h-index

  5. Sensors

    103 publications · 4.5K citations

    34

    h-index

1–5