Indoor Localization

Indoor Localization is a subfield of positioning and navigation that studies methods and systems for estimating the spatial position of objects or agents inside enclosed or built environments, where conventional global navigation satellite systems are unreliable or unavailable, by exploiting alternative sensing modalities, signal models, and environmental constraints.

10.1K

Publications

525K

Citations

22.2K

Authors

3.3K

Institutions

Publications per year

2017–2026

4.3K

Authors

22.2K

  1. RC
    Ruizhi Chen

    Wuhan University, China

    92 publications · 4.5K citations

    41

    h-index

  2. MY
    Moustafa Youssef

    Egypt-Japan University of Science and Technology, Egypt

    57 publications · 5.6K citations

    35

    h-index

  3. YL
    Yunhao Liu

    Tsinghua University, China

    40 publications · 8.5K citations

    32

    h-index

  4. KP
    Kaveh Pahlavan

    Worcester Polytechnic Institute, United States

    68 publications · 4.6K citations

    29

    h-index

  5. YZ
    Yuan Zhuang

    Wuhan University, China

    34 publications · 3.6K citations

    29

    h-index

1–5 of 22.2K

Venues

  1. Sensors

    564 publications · 22.3K citations

    70

    h-index

  2. IEEE Sensors Journal

    267 publications · 12.8K citations

    60

    h-index

  3. IEEE Internet of Things Journal

    165 publications · 10.4K citations

    59

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 141 publications · 10.7K citations

    58

    h-index

  5. IEEE Access

    267 publications · 12.4K citations

    57

    h-index

1–5