Home›Search›Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction

Multidisciplinary Digital Publishing Institute (MDPI) · Switzerland · Est. 2017

ISSN2504-4990eISSN2504-4990

SJR Q1✓ WOS ESCI✓ Scopus / SJR✓ DOAJ✓ Open Access

Impact Factor & Quartile · Web of Science (JCR)

✓ Indexed in the Web of Science Core Collection (ESCI) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page ↗

The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q1. Source: Clarivate Journal Citation Reports.

📊 Standing in its field

Where this journal ranks among others in the same subject area.

SJR · Scopus

Top 25% in field

Clarivate’s JCR quartile is a separate ranking and may differ

SJR Scorei

1.548

H-Indexi

SNIPi

2.562

Total Worksi

704

Total Citationsi

12,544

2yr Mean Citednessi

4.96

Open Impact Factor alternative

Aims & Scope

Subject areas: Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic; Artificial Intelligence; Engineering (miscellaneous).

General Information

Country / RegionSwitzerland

Primary LanguageEnglish

1st Year Published2017

Annual Volume~ 136 articles / year

StatusActive (last: 2026)

Total Publications704

Publisher OrgMultidisciplinary Digital Publishing Institute

OA Since2018

Visit Journal Website

Submission Info

Peer ReviewSingle-blind

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Plagiarism Detection✓ Yes

📦 Long-term Preservation

Swiss LibraryCLOCKSS

Think.Check.Submit Compliance

thinkchecksubmit.org

10/11 · 91%

✅

Do you know the journal / publisher?

Multidisciplinary Digital Publishing Institute (MDPI)

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

2504-4990 / 2504-4990

✅

Indexed in a trusted database?

WoS, Scopus, DOAJ

✅

Peer review process documented?

Single-blind

❌

Follows ethical publishing standards (COPE)?

N/A

✅

Not on predatory/blacklists?

✓ Clean

✅

Long-term digital preservation?

Swiss Library, CLOCKSS

✅

Plagiarism detection in place?

Yes

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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

Publication & Citation Trend

Articles published

Citations received

2019

852

2020

1.9k

2021

1.5k

2022

4.4k

2023

139

2.1k

2024

175

798

2025

256

136

2026

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Artificial IntelligenceQ1

Engineering (miscellaneous)Q1

Subject Classification

Web of Science Categories

Computer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsEngineering, Electrical & Electronic

Scopus Categories

Engineering (miscellaneous)Artificial Intelligence

Research Topics (OpenAlex)

Explainable Artificial Intelligence (XAI)Topic ModelingAdversarial Robustness in Machine LearningAnomaly Detection Techniques and ApplicationsMachine Learning and Data ClassificationAdvanced Neural Network ApplicationsArtificial Intelligence in Healthcare and EducationMachine Learning in HealthcareAdvanced Graph Neural NetworksImbalanced Data Classification Techniques

Frequently asked questions about Machine Learning and Knowledge Extraction

Is Machine Learning and Knowledge Extraction a predatory journal?

PubScope has no integrity flags on record for Machine Learning and Knowledge Extraction: it is indexed in Web of Science, Scopus, DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Machine Learning and Knowledge Extraction?

Machine Learning and Knowledge Extraction is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 4.96.

Is Machine Learning and Knowledge Extraction indexed in Scopus and Web of Science?

Machine Learning and Knowledge Extraction is indexed in Web of Science, Scopus, DOAJ.

What is the aims and scope of Machine Learning and Knowledge Extraction?