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ENVIRONMENTAL MODELLING & SOFTWARE

ISSN:

1364-8152

eISSN:

1873-6726

Disciplines
(Field of Science):

  • architecture and urban planning (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • civil engineering, geodesy and transport (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • agriculture and horticulture (Agricultural sciences)
  • biotechnology (Natural sciences)
  • computer and information sciences (Natural sciences)
  • biological sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2025 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2025 140 Ministry scored journals list 2024
2024 140 Ministry scored journals list 2024
2023 140 Ministry Scored Journals List
2022 140 Ministry Scored Journals List 2019-2022
2021 140 Ministry Scored Journals List 2019-2022
2020 140 Ministry Scored Journals List 2019-2022
2019 140 Ministry Scored Journals List 2019-2022
2018 40 A
2017 40 A
2016 40 A
2015 40 A
2014 40 A
2013 40 A
2012 35 A
2011 35 A
2010 32 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 9.3
Points CiteScore - previous years
Year Points
2023 9.3
2022 9.9
2021 9.5
2020 9.4
2019 9
2018 8.4
2017 8.4
2016 8.2
2015 7.8
2014 7.6
2013 7.7
2012 6.7
2011 5.6

Impact Factor:

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Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/28947

Papers published in journal

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total: 2

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Catalog Journals

Year 2024
  • An annotated timeline of sensitivity analysis
    Publication
    • M. Kuc-Czarnecka
    • S. Tarantolo
    • F. Ferretti
    • S. Lo Piano
    • M. Kozlova
    • A. Lachi
    • R. Rosati
    • A. Puy,
    • P. Roy
    • G. Vannucci
    • A. Saltelli,

    - ENVIRONMENTAL MODELLING & SOFTWARE - Year 2024

    The last half a century has seen spectacular progresses in computing and modelling in a variety of fields, applications, and methodologies. Over the same period, a cross-disciplinary field known as sensitivity analysis has been making its first steps, evolving from the design of experiments for laboratory or field studies, also called ‘in-vivo’, to the so-called experiments ‘in-silico’. Some disciplines were quick to realize the...

    Full text available to download

Year 2015

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