Finite Horizon Analysis

Finite Horizon Analysis is a methodological framework within queueing theory that characterizes system performance over a predetermined, bounded time interval, distinguishing itself from infinite horizon approaches by explicitly accounting for transient dynamics and time-limited constraints in finite capacity queue environments.

500

Publications

29.1K

Citations

970

Authors

485

Institutions

Publications per year

2017–2026

93

Authors

970

  1. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    16 publications · 1.2K citations

    16

    h-index

  2. SS
    Suresh Sethi

    The University of Texas at Dallas, United States

    7 publications · 421 citations

    7

    h-index

  3. HD
    Hongli Dong

    Northeast Petroleum University, China

    7 publications · 597 citations

    7

    h-index

  4. RL
    Robert L. Smith

    University of Michigan, United States

    6 publications · 255 citations

    6

    h-index

  5. LN
    Lorenzo Ntogramatzidis

    Curtin University, Australia

    6 publications · 150 citations

    6

    h-index

1–5 of 970

Venues

  1. Operations Research

    35 publications · 5.5K citations

    25

    h-index

  2. IEEE Transactions on Automatic Control

    39 publications · 2K citations

    25

    h-index

  3. Management Science

    27 publications · 3.3K citations

    21

    h-index

  4. SIAM Journal on Control and Optimization

    14 publications · 618 citations

    13

    h-index

  5. arXiv (Cornell University)

    Repository · 11 publications · 481 citations

    10

    h-index

1–5