Barcode Computation

Barcode Computation is a computational method in persistent homology that represents the lifespan of topological features across a filtration by encoding each feature's birth and death parameters as an interval in a barcode diagram.

12

Publications

1.2K

Citations

27

Authors

16

Institutions

Publications per year

2017–2026

5

Authors

27

  1. MX
    Mengbai Xiao

    George Mason University, United States

    1 publications · 18 citations

    1

    h-index

  2. MC
    Mohua Chakraborty Choudhury

    Indian Institute of Science Bangalore, India

    1 publications · 12 citations

    1

    h-index

  3. HT
    Hirokazu Toju

    Kyoto University, Japan

    1 publications · 305 citations

    1

    h-index

  4. ML
    Michael Lesnick

    University at Albany, State University of New York, United States

    1 publications · 103 citations

    1

    h-index

  5. BB
    Broňa Brejová

    Comenius University Bratislava, Slovakia

    1 publications · 33 citations

    1

    h-index

1–5 of 27

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 121 citations

    2

    h-index

  2. Journal of Applied and Computational Topology

    2 publications · 275 citations

    2

    h-index

  3. Acta Numerica

    1 publications · 241 citations

    1

    h-index

  4. 1

    h-index

  5. Molecular Ecology Resources

    1 publications · 12 citations

    1

    h-index

1–5