Machine Learning And Knowledge Extraction impact factor, indexing, ranking (2024)
Aim and Scope
The Machine Learning And Knowledge Extraction is a research journal published by the MDPI AG. The P-ISSN of this journal is .
Also, please check the following important details about machine learning and knowledge extraction: Publisher, ISSN, Ranking, Indexing, Impact Factor (if applicable), Publication fee (APC), Review Time, and Acceptance Rate.
According to Clarivate's JCR, journals indexed in SCIE/SSCI have an impact factor.
Important Metrics
| Journal Title: | Machine Learning and Knowledge Extraction |
| Publisher: | MDPI AG |
| P-ISSN: | |
| Open Access: | |
| Status: | Active |
| Scopus Coverage: | 2019-ongoing |
Indexing
The machine learning and knowledge extraction is indexed in:
An indexed journal means that the journal has gone through and passed a review process of certain requirements done by a journal indexer.
The Web of Science Core Collection includes the Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (AHCI), and Emerging Sources Citation Index (ESCI).
Note: ESCI journals donot come with an impact factor. However, ESCI journals are evaluated every year and those who qualified are transferred to SCIE.
Machine Learning And Knowledge Extraction Impact Factor 2024
The latest impact factor of machine learning and knowledge extraction is 4 which is recently updated in June, 2024.
The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.
Note: Every year, The Clarivate releases the Journal Citation Report (JCR). The JCR provides information about academic journals including impact factor. The latest JCR was released in June, 2023. The JCR 2024 will be released in the June 2024.
Publication fee
According to journal website, the publication fee of machine learning and knowledge extraction is around 1400 CHF.
The machine learning and knowledge extraction has also Journal waiver policy (for developing countries, authors etc).
An article processing charge (APC), also known as a publication fee, is a fee which is sometimes charged to authors. Most commonly, it is involved in making a work available as open access (OA), in either a full OA journal or in a hybrid journal.
Journal Publication Time
The Journal Publication Time means the average number of weeks between article submission and publication. According to the journal website, the machine learning and knowledge extraction publishes research articles in 6 weeks on an average.
Call for Papers
Visit to the official website of the journal/ conference to check the details about call for papers.
How to publish in Machine Learning And Knowledge Extraction?
If your research is related to the scope of the journal, then visit the official website of machine learning and knowledge extraction and send your manuscript.
Tips for publishing in Machine Learning And Knowledge Extraction:
- Selection of research problem.
- Presenting a solution.
- Designing the paper.
- Make your manuscript publication worthy.
- Write an effective results section.
- Mind your references.
Acceptance Rate
Acceptance rate is the ratio of the number of articles submitted to the number of articles published. Researchers can check the acceptance rate on the journal website. Alternatively, they can contact the editor of the journal.Final Summary
- The impact factor of machine learning and knowledge extraction is 4.
- The machine learning and knowledge extraction is a reputed research journal.
- It is published by MDPI AG.
- The journal is indexed in UGC CARE, Scopus, ESCI, DOAJ.
- It is an open access journal.
- The publication time (Average number of weeks between article submission and publication) of the journal is 6 weeks.
- The Publication fee (APC) of machine learning and knowledge extraction 1400 CHF.
Sources: https://www.mdpi.com/journal/make