The latest impact factor of Foundations and Trends in Machine Learning and all the other Web of Science journals is released on 20th June 2024 by Clarivate. Through this web page, researchers can check the impact factor, total citation, journal quartile, and journal aim & scope.
Foundations and Trends in Machine Learning is a Web of Science indexed journal tha publishes research in the area: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE|Q1|1/197.
The P-ISSN of this journal is 1935-8237.
| Journal Title | Foundations and Trends in Machine Learning |
|---|---|
| Impact Factor | 65.3 |
| Journal Quartile | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE|Q1|1/197 |
| E-ISSN | 1935-8245 |
| P-ISSN | 1935-8237 |
The Journal Impact Factor is defined as citations to the journal in the JCR year to items published in the previous two years, divided by the total number of scholarly items, also known as citable items, (these comprise articles and reviews) published in the journal in the previous two years.
Impact factor data has a strong influence on the scientific community, affecting decisions on where to publish, whom to promote or hire, the success of grant applications, and even salary bonuses.
Only journals listed in the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) receive an Impact Factor.
SCI is a multidisciplinary citation index. Science Citation Index covers 9,000+ journals across 177 scientific disciplines. SCI was established in 1900 to the current. SCI-indexed journals are indexed by SCI and SSCI. SCI is described as the world's leading journal.
All journals covered in this database are reviewed for sufficiently high quality each year.