Document Selection

Document Selection is an academic concept referring to the process of identifying and prioritizing relevant documents across distributed information sources in federated search environments, distinguished by its focus on optimizing retrieval effectiveness through source selection and query routing strategies rather than centralized indexing.

115

Publications

5.4K

Citations

274

Authors

134

Institutions

Publications per year

2017–2026

24

Authors

274

  1. ZD
    Zhicheng Dou

    Renmin University of China, China

    5 publications · 148 citations

    5

    h-index

  2. PW
    Peiling Wang

    University of Tennessee at Knoxville, United States

    5 publications · 514 citations

    5

    h-index

  3. JW
    Ji-Rong Wen

    Renmin University of China, China

    5 publications · 148 citations

    5

    h-index

  4. MH
    Martine Hurault-Plantet

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    3 publications · 50 citations

    3

    h-index

  5. XZ
    Xiangmin Zhang

    Wayne State University, United States

    3 publications · 76 citations

    3

    h-index

1–5 of 274

Venues

  1. Journal of the American Society for Information Science

    JASIS · 5 publications · 537 citations

    5

    h-index

  2. Information Processing & Management

    4 publications · 132 citations

    4

    h-index

  3. Information Retrieval

    3 publications · 67 citations

    3

    h-index

  4. Scientometrics

    2 publications · 28 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 60 citations

    2

    h-index

1–5