Core Area Estimation

Core Area Estimation is a scholarly methodological contribution that identifies and delineates the central thematic or intellectual domain within a research area by applying systematic criteria to distinguish its foundational elements from peripheral or ancillary topics.

18

Publications

798

Citations

50

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

50

  1. BL
    Bill Lin

    University of California San Diego, United States

    2 publications · 175 citations

    2

    h-index

  2. SN
    Siddhartha Nath

    University of California San Diego, United States

    2 publications · 175 citations

    2

    h-index

  3. AB
    Andrew B. Kahng

    University of California San Diego, United States

    2 publications · 175 citations

    2

    h-index

  4. AS
    Amrou Sarraj

    The University of Texas Health Science Center at Houston, United States

    1 publications · 45 citations

    1

    h-index

  5. DL
    Diego Lombao

    Institut Català de Paleoecologia Humana i Evolució Social, Spain

    1 publications · 18 citations

    1

    h-index

1–5 of 50

Venues

  1. 1

    h-index

  2. Archaeological and Anthropological Sciences

    1 publications · 18 citations

    1

    h-index

  3. Neurology

    1 publications · 45 citations

    1

    h-index

  4. IEEE Embedded Systems Letters

    1 publications · 123 citations

    1

    h-index

  5. Pure and Applied Geophysics

    PAGEOPH · 1 publications · 22 citations

    1

    h-index

1–5