Journal metric profile

Machine Learning and Knowledge Extraction Impact Factor 2025

Machine Learning and Knowledge Extraction has a 2025 Journal Impact Factor of 6 and is listed in Q1 with a JCR category rank of 51/366.

JCR-based Impact Factor 6 2025 metric year
5-Year Impact Factor 5.7 Longer citation window
JCR Quartile Q1 Subject-category quartile
JCR Category Rank 51/366 Recorded category rank

Machine Learning and Knowledge Extraction impact factor and ranking

This profile summarizes the journal metrics and publication information available in the current directory record.

Page reviewed August 6, 2026

Machine Learning and Knowledge Extraction metric snapshot

Machine Learning and Knowledge Extraction has a bibliometric profile in this directory for 2025. The publisher recorded for the journal is MDPI. Its listed Clarivate Journal Citation Reports (JCR)-based Journal Impact Factor is 6. The five-year Journal Impact Factor is 5.7, giving a second citation window for comparison. The journal is recorded in quartile Q1 for its listed JCR category.

Category position and quartile

The recorded JCR category position is 51 out of 366 journals. Based on that rank position, the journal sits within approximately the top 14% of the listed category. Its listed quartile is Q1. Category ranks and quartiles are field-specific and are not measures of the quality of an individual article.

How the citation indicators compare

The five-year Journal Impact Factor (5.7) is 0.3 points lower than the standard Journal Impact Factor (6). Without journal self-citations, the Impact Factor is 5.9, a difference of 0.1 points from the listed standard value. The Journal Citation Indicator (JCI) is recorded as 0.9. These measures use different definitions or citation windows, so they are most useful when read together rather than treated as interchangeable scores.

Citation and publication counts

For 2025, the directory record for Machine Learning and Knowledge Extraction lists total cites: 1,846; total articles: 125; citable items: 139. These fields describe different parts of the JCR record and should not be combined into an article-level quality score.

Citation half-life profile

The cited half-life is 2.4 years, indicating the median age of items that contributed citations to the journal in the reporting framework. The citing half-life is 5.3 years, indicating the median age of references used by the journal’s articles.

Identifiers and verification

Machine Learning and Knowledge Extraction is identified in this directory by electronic ISSN 2504-4990. The publisher is recorded as MDPI. When making submission, library, or research-evaluation decisions, verify the title and identifiers against the journal publisher and the official Clarivate Journal Citation Reports record.

Complete journal information

Use this table to verify the individual metric values, identifiers and publication details stored for this journal.

Journal nameMachine Learning and Knowledge Extraction
Abbreviated journalMACH LEARN KNOW EXTR
PublisherMDPI
Metric year2025
Overall rank1,484
ISSNNot available
eISSN2504-4990
Total cites1,846
Total articles125
Citable items139
Cited half-life2.4 years
Citing half-life5.3 years
JCR-based Journal Impact Factor6
5-Year Impact Factor5.7
Impact Factor without journal self-cites5.9
Journal Citation Indicator0.9
JCR Impact Factor quartileQ1
JCR category rank51/366
Database record updated

Frequently asked questions

What is the 2025 JCR-based Journal Impact Factor of Machine Learning and Knowledge Extraction?

The Journal Impact Factor recorded in this directory as a Clarivate Journal Citation Reports (JCR)-based value for Machine Learning and Knowledge Extraction is 6 for the 2025 metric year.

What are the JCR quartile and category rank of Machine Learning and Knowledge Extraction?

Machine Learning and Knowledge Extraction is listed with quartile Q1 and category rank 51/366. These values are category-specific and should be verified against the official JCR record when used for formal assessment.

What is the five-year Journal Impact Factor of Machine Learning and Knowledge Extraction?

The five-year Journal Impact Factor recorded for Machine Learning and Knowledge Extraction is 5.7. It uses a longer citation window than the standard Journal Impact Factor.

Who publishes Machine Learning and Knowledge Extraction?

Machine Learning and Knowledge Extraction is listed in this directory as being published by MDPI.

Journals in the same approved specialty or subject are shown first, followed by same-publisher or similar-metric records when needed.

Research Area

Subject: Computer Science
Specialty: Artificial Intelligence & Machine Learning

Subject assignments on this website are used for navigation and are separate from official Journal Citation Reports categories.