Computational Reconstruction Algorithms

Computational Reconstruction Algorithms is a class of mathematical and computational methods that constitute the core procedural framework in cryo-electron microscopy, distinguished by their ability to transform sets of two-dimensional particle images into high-resolution three-dimensional density maps through systematic alignment, classification, and volumetric reconstruction.

583

Publications

46K

Citations

4.1K

Authors

862

Institutions

Publications per year

2017–2026

170

Authors

4.1K

  1. BJ
    Bahram Javidi

    University of Connecticut, United States

    14 publications · 565 citations

    13

    h-index

  2. CÓ
    Carlos Óscar S. Sorzano

    Centro Nacional de Biotecnología, Spain

    12 publications · 604 citations

    12

    h-index

  3. JC
    J.M. Carazo

    Centro Nacional de Biotecnología, Spain

    12 publications · 566 citations

    12

    h-index

  4. DS
    Dong-Hak Shin

    Dongseo University, South Korea

    13 publications · 385 citations

    11

    h-index

  5. GT
    Gábor T. Herman

    University of Pennsylvania, United States

    10 publications · 3.3K citations

    10

    h-index

1–5 of 4.1K

Venues

  1. Journal of Structural Biology

    41 publications · 9.8K citations

    30

    h-index

  2. Optics Express

    21 publications · 820 citations

    18

    h-index

  3. Ultramicroscopy

    14 publications · 2.4K citations

    14

    h-index

  4. IEEE Transactions on Medical Imaging

    10 publications · 1.1K citations

    10

    h-index

  5. Applied Optics

    10 publications · 641 citations

    10

    h-index

1–5