Context-aware Data Management

Context-Aware Data Management is a data management paradigm that belongs to the broader class of mobile data management approaches and is distinguished by its ability to adapt data acquisition, processing, storage, and delivery based on dynamically changing contextual information such as location, time, user preferences, and environmental conditions.

129

Publications

4.7K

Citations

457

Authors

179

Institutions

Publications per year

2017–2026

24

Authors

457

  1. DN
    Daniela Nicklas

    University of Stuttgart, Germany

    3 publications · 170 citations

    3

    h-index

  2. UK
    Uwe-Philipp Käppeler

    University of Stuttgart, Germany

    3 publications · 170 citations

    3

    h-index

  3. JJ
    Joel J. P. C. Rodrigues

    Instituto de Telecomunicações, Portugal

    3 publications · 165 citations

    3

    h-index

  4. MC
    Moira C. Norrie

    ETH Zurich, Switzerland

    3 publications · 75 citations

    3

    h-index

  5. TS
    T.J.E. Schwarz

    Santa Clara University, United States

    2 publications · 159 citations

    2

    h-index

1–5 of 457

Venues

  1. Sensors

    5 publications · 86 citations

    5

    h-index

  2. Future Generation Computer Systems

    FGCS · 3 publications · 243 citations

    3

    h-index

  3. Pervasive and Mobile Computing

    2 publications · 59 citations

    2

    h-index

  4. IEEE Sensors Journal

    2 publications · 58 citations

    2

    h-index

  5. Multimedia Tools and Applications

    2 publications · 78 citations

    2

    h-index

1–5