Machine Learning and Data Science in Geotechnics

Emerald Publishing

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About the journal

Machine Learning and Data Science in Geotechnics is an open-access journal published by Emerald Publishing in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 1,250 GBP. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Emerald Publishing
ISSN
3029-0414 · 3029-0422
Country
United Kingdom
Languages
english
Access
Open access
Declared publication charge
1,250 GBP
Articles in DOAJ
0
Declared review time
16 weeks
Declared peer-review model
double_blind

Index listings

  • DOAJ · 2026-01-07
Indexing
DOAJ
APC
1,250 GBP
Declared review time (DOAJ)
16 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

0

Average review time (journal-declared via DOAJ)

16weeks

Works in OpenAlex

23

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

2

i10-index

0

From OpenAlex open data (CC0).

Editorial & policy12
Last DOAJ review date
2026-01-07
Added to DOAJ
2026-01-07
Declared plagiarism screening
Declared
Other fees beyond APC
No
Declared digital preservation
Portico
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Open references deposited at Crossref
96%
ORCID iDs in current deposits
13%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification2

Subjects (DOAJ)

Technology: Engineering (General). Civil engineering (General)

LCC codes

TA1-2040

Subject areas

  • Tunneling and Rock Mechanics
  • Tunneling and Rock Mechanics
  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Soil Mechanics
  • Geotechnical Engineering and Soil Mechanics
  • Dam Engineering and Safety
  • Dam Engineering and Safety
Show all subjects (50)
  • Drilling and Well Engineering
  • Drilling and Well Engineering
  • Probabilistic and Robust Engineering Design
  • Probabilistic and Robust Engineering Design
  • Soil and Unsaturated Flow
  • Landslides and related hazards
  • Concrete and Cement Materials Research
  • Soil and Unsaturated Flow
  • Landslides and related hazards
  • Rock Mechanics and Modeling
  • Concrete and Cement Materials Research
  • Rock Mechanics and Modeling
  • Heat Transfer and Optimization
  • Soil Geostatistics and Mapping
  • Groundwater flow and contamination studies
  • Reservoir Engineering and Simulation Methods
  • Model Reduction and Neural Networks
  • Advanced Multi-Objective Optimization Algorithms
  • Risk and Safety Analysis
  • Infrastructure Maintenance and Monitoring
  • Geothermal Energy Systems and Applications
  • Innovative concrete reinforcement materials
  • Hydraulic flow and structures
  • Reservoir Engineering and Simulation Methods
  • Infrastructure Maintenance and Monitoring
  • BIM and Construction Integration
  • Heat Transfer and Optimization
  • Railway Engineering and Dynamics
  • BIM and Construction Integration
  • Railway Engineering and Dynamics
  • Innovative concrete reinforcement materials
  • Granular flow and fluidized beds
  • Granular flow and fluidized beds
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Model Reduction and Neural Networks
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Advanced Multi-Objective Optimization Algorithms
  • Geothermal Energy Systems and Applications
  • Soil Geostatistics and Mapping
  • Groundwater flow and contamination studies
  • Risk and Safety Analysis
  • Hydraulic flow and structures

Keywords (DOAJ)

  • machine learning in geotechnics
  • artificial intelligence for infrastructure resilience
  • big data and statistical analysis in soil mechanics
  • sustainable geotechnical engineering
  • geostructure modeling

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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