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Stochastic Models

Journal Abbreviation: STOCH MODELS
Journal ISSN: 1532-6349

About Stochastic Models

    Stochastic Models is devoted to the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences and technology. It presents contributions on the mathematical methodology, from structural, analytical, and algorithmic to experimental approaches. It offers an interdisciplinary presentation on the uses of probability theory and discusses practical applications of stochastic models to diverse areas such as biology, computer science/telecommunications modeling, inventories and dams, reliability, storage, queuing theory, and operations research.
Year Impact Factor (IF) Total Articles Total Cites
2023 (2024 update) 0.5 - -
2022 0.7 - 513
2021 0.613 - 492
2020 0.652 37 533
2019 0.596 25 438
2018 0.536 21 456
2017 0.296 26 467
2016 0.380 30 439
2015 0.360 24 400
2014 0.463 26 388
2013 0.500 24 387
2012 0.466 30 301
2011 0.667 30 390
2010 0.449 28 362

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