ENVIRONMENTAL MODELLING & SOFTWARE - Journal - Bridge of Knowledge

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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 2024 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
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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