Computational Neuroanatomy

Computational Neuroanatomy is a subfield of Computational Neurobiology that focuses on the quantitative modeling and analysis of the structural organization of nervous systems, distinguishing itself by its emphasis on anatomical morphology, spatial connectivity, and the geometric representation of neural tissues at various scales.

718

Publications

93.2K

Citations

3K

Authors

916

Institutions

Publications per year

2017–2026

194

Authors

3K

  1. GA
    Giorgio A. Ascoli

    George Mason University, United States

    19 publications · 1.5K citations

    17

    h-index

  2. PM
    Paul M. Thompson

    University of California, Los Angeles, United States

    18 publications · 2.3K citations

    17

    h-index

  3. MI
    Michael I. Miller

    Johns Hopkins University, United States

    13 publications · 991 citations

    13

    h-index

  4. AW
    Arthur W. Toga

    University of California, Los Angeles, United States

    14 publications · 755 citations

    12

    h-index

  5. JM
    Jean‐François Mangin

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    13 publications · 624 citations

    12

    h-index

1–5 of 3K

Venues

  1. NeuroImage

    128 publications · 38.9K citations

    65

    h-index

  2. Journal of Neuroscience Methods

    33 publications · 1.6K citations

    22

    h-index

  3. Medical Image Analysis

    23 publications · 2.8K citations

    21

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 31 publications · 847 citations

    19

    h-index

  5. Neuroinformatics

    26 publications · 1.5K citations

    18

    h-index

1–5