Mobile App Personalization

Mobile App Personalization is a methodological framework within personalization analytics that enables the adaptive customization of mobile application content, functionality, and user interface based on individual user behavior, preferences, and contextual data.

330

Publications

13.1K

Citations

1.6K

Authors

633

Institutions

Publications per year

2017–2026

232

Authors

1.6K

  1. PC
    Paula Costa Castro

    Universidade Federal de São Carlos, Brazil

    3 publications · 88 citations

    3

    h-index

  2. JH
    Jason Hong

    Carnegie Mellon University, United States

    3 publications · 283 citations

    3

    h-index

  3. SS
    Suranga Seneviratne

    Data61, Australia

    3 publications · 244 citations

    3

    h-index

  4. PM
    Prasant Mohapatra

    University of California, Davis, United States

    3 publications · 244 citations

    3

    h-index

  5. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    3 publications · 217 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. JMIR mhealth and uhealth

    36 publications · 1.8K citations

    24

    h-index

  2. Journal of Medical Internet Research

    8 publications · 558 citations

    9

    h-index

  3. JMIR Formative Research

    9 publications · 192 citations

    9

    h-index

  4. JMIR Human Factors

    6 publications · 186 citations

    7

    h-index

  5. JMIR Research Protocols

    7 publications · 142 citations

    7

    h-index

1–5