Binary Population Synthesis

Binary Population Synthesis is a computational modeling framework that simulates the statistical evolution of binary star systems within a galactic population by integrating physical processes such as mass transfer, stellar winds, and mergers to predict observable properties and occurrence rates.

370

Publications

26.9K

Citations

598

Authors

328

Institutions

Publications per year

2017–2026

170

Authors

598

  1. ZH
    Zhanwen Han

    Chinese Academy of Sciences, China

    30 publications · 3.6K citations

    24

    h-index

  2. ST
    Silvia Toonen

    University of Amsterdam, Netherlands

    17 publications · 1.3K citations

    16

    h-index

  3. IM
    Ilya Mandel

    University of Birmingham, United Kingdom

    16 publications · 1.4K citations

    15

    h-index

  4. SP
    Simon Portegies Zwart

    Leiden University, Netherlands

    14 publications · 1.9K citations

    14

    h-index

  5. KB
    Krzysztof Belczyński

    Nicolaus Copernicus Astronomical Center, Poland

    16 publications · 819 citations

    14

    h-index

1–5 of 598

Venues

  1. Monthly Notices of the Royal Astronomical Society

    126 publications · 10K citations

    55

    h-index

  2. The Astrophysical Journal

    ApJ · 71 publications · 4.5K citations

    40

    h-index

  3. Astronomy and Astrophysics

    51 publications · 4.1K citations

    34

    h-index

  4. 14

    h-index

  5. arXiv (Cornell University)

    Repository · 10 publications · 874 citations

    10

    h-index

1–5