Environmental Modelling and Software

Aims & Scope

Environmental Modelling & Software publishes contributions, in the form of research articles, reviews, introductory overviews, and position papers on advances in the area of environmental modelling and software.

Our aim is to improve our capacity to represent, understand, predict or manage the behaviour of natural environmental systems, including air, water, and land components, at all practical scales, and to communicate those improvements to a wide scientific and professional audience.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.6
2024	4.80

SJR (SCImago Journal Rank)

Year	Value
2024	1.466

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	178

Journal Rank

Year	Value
2024	2496

Journal Citation Indicator

Year	Value
2024	4046

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Environmental Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications

  Citation: 1775

  Authors: Holger R., Graeme C.

• openair — An R package for air quality data analysis

  Citation: 1533

  Authors: David C., Karl

• An effective screening design for sensitivity analysis of large models

  Citation: 1503

  Authors: Francesca, Jessica, Andrea

• Using spatial interpolation to construct a comprehensive archive of Australian climate data

  Citation: 1503

  Authors: Stephen J., John O., Keith B., Alan R.

• APSIM – Evolution towards a new generation of agricultural systems simulation

  Citation: 1361

  Authors: Dean P., Neil I., Peter G., Eric J., Neville I., Greg, Karine, Erik J., Val, Chris, Andrew D., Hamish, Jeremy P.M., Shaun, Justin, Lindsay W., Allan S., Perry L., Zvi, Peter J., Donald S., Neal P., Daniel, Howard, Scott, Alastair, Edmar, Joanna, Rogerio, Iris, Frank Y., Enli, Graeme L., Michael J., John P., Anthony M., James, Harm, Tim, Peter S., John N.G., Neil, Cam, Justin, Sara, Brian A.

• Real-time Environmental Applications and Display sYstem: READY

  Citation: 1297

  Authors: Glenn, Ariel, Barbara

• Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan

  Citation: 1283

  Authors: S., F.

• Characterising performance of environmental models

  Citation: 1231

  Authors: Neil D., Barry F.W., Giorgio, Joseph H.A., Serena H., Anthony J., Stefano, Lachlan T.H., John P., Charles, Suzanne A., Barbara, Ralf, Alexey A., Brian D., Vazken

• Sensitivity analysis of environmental models: A systematic review with practical workflow

  Citation: 1163

  Authors: Francesca, Keith, Jim, Jim W., Jonathan, David B., Thorsten

• sdsm — a decision support tool for the assessment of regional climate change impacts

  Citation: 1008

  Authors: R.L, C.W, E.M

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