Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing.
Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered.
The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
- Covers mathematical modeling, simulation, data analysis, uncertainty, and high performance computing
- Focuses on quantitative aspects of models, mathematical and numerical methods
- Builds multidisciplinary collaboration among mathematicians, engineers, chemists, physicists and geoscientists
- Facilitate exchange of information across disciplines
Journal information
- Editors-in-Chief
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- Clint Dawson,
- Ivan Yotov,
- Mary F. Wheeler
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 1.807 (2019)
- Impact factor
- 2.406 (2019)
- Five year impact factor
- 98 days
- Submission to first decision
- 297 days
- Submission to acceptance
- 51,889 (2020)
- Downloads
Latest issue
Latest articles
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Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example
Authors (first, second and last of 4)
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Well-testing based turbidite lobes modeling using the ensemble smoother with multiple data assimilation
Authors (first, second and last of 5)
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Journal updates
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
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About this journal
- Electronic ISSN
- 1573-1499
- Print ISSN
- 1420-0597
- Abstracted and indexed in
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- CNKI
- Current Contents/Physical, Chemical and Earth Sciences
- Dimensions
- EBSCO Academic Search
- EBSCO Discovery Service
- EBSCO Engineering Source
- EBSCO STM Source
- GeoRef
- Geobase
- Google Scholar
- INIS Atomindex
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Agricultural & Environmental Science Database
- ProQuest Aquatic Sciences and Fisheries Abstracts (ASFA)
- ProQuest Central
- ProQuest Computer Science
- ProQuest Computer and Information Systems Abstracts
- ProQuest Earth, Atmospheric & Aquatic Science Database
- ProQuest Environmental Science
- ProQuest Natural Science Collection
- ProQuest SciTech Premium Collection
- ProQuest Science Database
- ProQuest Technology Collection
- ProQuest Water Resources Abstracts
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- Semantic Scholar
- TD Net Discovery Service
- UGC-CARE List (India)
- WTI Frankfurt eG
- zbMATH
- Copyright information