About the Journal
Machine Learning and Data Science in Geotechnics aims to disseminate original contributions in the emerging fields of machine learning, artificial intelligence, big data analysis, and statistical approaches, with a focus on addressing various geotechnical engineering challenges.
You can publish an open access article in this gold open access journal by paying an article processing charge (APC).
Submission information
Accepted manuscript types and word counts
- Research Paper — up to 5000 words
- Editorial — up to 1000 words
Please see the article types and word counts section on the about this journal page for more information. The word count includes all text, figures and tables. When estimating your total, please allow 280 words for each figure or table. Read more about the article types for this journal.
Reference style
Use the Harvard reference style. Read more about the reference types for this journal.
Keywords
Please include up to 6 short, relevant keywords that describe the main topics of your paper. You must include a minimum of three keywords from this MS Excel file. Download the keyword excel file for this journal.
Peer review type
Double anonymous peer review. All submissions are sent to at least 2 independent and anonymous reviewers.
Open access options
This is an open access journal. If you choose to publish in this journal, you will be required to pay an article processing charge (APC). Read more about our open access options.
ORCiD
All authors, including co‑authors, must have a valid ORCiD. Visit the ORCiD website to register.
Accepted languages
This journal only accepts manuscripts written in UK or US English.
Accepted submission files
Article files should be provided in Microsoft Word format.
Closes: 25th February 2027
This special issue explores practical applications of machine learning in geotechnical engineering, focusing on real-world implementation, decision support, and sustainable, resilient infrastructure solutions.
Guest editor(s): Dr Meghdad Bagheri
Open access articles
Metrics snapshot
- Downloaded articles in the last 12 months
- 17917
Publication timeline
- Time to first decision
- 89.4 days
- Acceptance to publication
- 77 days
- Acceptance rate
- 88.2%
