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Probability in The Engineering and Informational Sciences

Journal Abbreviation: PROBAB ENG INFORM SC
Journal ISSN: 0269-9648

About Probability in The Engineering and Informational Sciences

    The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
Year Impact Factor (IF) Total Articles Total Cites
2023 (2024 update) 0.7 - -
2022 1.1 - 769
2021 1.561 - 788
2020 1.269 32 668
2019 0.794 34 511
2018 0.864 32 583
2017 0.803 30 585
2016 0.562 36 530
2015 0.390 35 421
2014 0.460 29 398
2013 0.328 30 374
2012 0.453 33 399
2011 0.642 31 374
2010 0.971 33 425

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