Home›Search›Machine Learning and Data Science in Geotechnics

Machine Learning and Data Science in Geotechnics

Emerald Publishing · United Kingdom

eISSN3029-0422

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope

Machine Learning and Data Science in Geotechnics (MLaG) 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. Submitted papers should explicitly or implicitly utilise and/or develop these themes to tackle specific geotechnical engineering scenarios or applications. The journal encourages contributions th

General Information

Country / RegionUnited Kingdom

Primary LanguageEnglish

1st Year Published—

StatusActive

Total Publications—

Visit Journal Website

Submission Info

APC Cost$1,250Below median

Peer ReviewDouble anonymous peer review

Review Time—

Acceptance Rate54.5%

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

9/12 · 75%

✅

Do you know the journal / publisher?

Emerald Publishing

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

3029-0422

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Double anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

✅

APC fees clearly disclosed?

$1,250

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Tunneling and Rock MechanicsGeotechnical Engineering and AnalysisGeotechnical Engineering and Soil MechanicsDrilling and Well EngineeringDam Engineering and SafetyLandslides and related hazardsSoil and Unsaturated FlowConcrete and Cement Materials ResearchRock Mechanics and ModelingProbabilistic and Robust Engineering Design