Impact Factor 2024-2025
MACHINE LEARNING
2.9
MACHINE LEARNING
Basic Journal Info
| Country: | Netherlands |
|---|---|
| Journal ISSN: | 0885-6125 |
| Journal EISSN: | 1573-0565eissn |
| History | 1986-ongoing |
| Publisher | SPRINGER |
| Journal Hompage: | Link |
| Note: |
Research Categories
Computer ScienceImpact Factor Ranking
MACHINE LEARNING
5149
Scope/Description:
Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to: Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds. Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.
MACHINE LEARNING | Journal Impact factor 2025 Trends
Impact Factor Trend 2000 - 2025
Impact Factor
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2024 - 2025 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.Here you can check the journal performance trends based on last 20 years of data, also check the latest journal citation reports 2025. Also Check H-Index, SCImago journal rank and journal impact factor 2025.
Read MoreNature Reviews Materials
Impact Factor History
- 2024/2025 Impact Factor 2.9
- 2023 Impact Factor 4.3
- 2022 Impact Factor 7.5
- 2021 Impact Factor 5.414
- 2020 Impact Factor 2.94
- 2019 Impact Factor 2.809
- 2018 Impact Factor 2.727
- 2017 Impact Factor 2.516
- 2016 Impact Factor 3.169
- 2015 Impact Factor 2.679
- 2014 Impact Factor 3.417
- 2013 Impact Factor 4.067
- 2012 Impact Factor 3.6
- 2011 Impact Factor 4.01
- 2010 Impact Factor 4.393
- 2009 Impact Factor 2.518
- 2008 Impact Factor 3.805
- 2007 Impact Factor 3.582
- 2006 Impact Factor 4.217
- 2005 Impact Factor 5.824
- 2004 Impact Factor 4.939
- 2003 Impact Factor 4.287
- 2002 Impact Factor 3.522
- 2001 Impact Factor 3.353
- 2000 Impact Factor 1.648
Note: impact factor data for reference only
Other Journal Impact Indicator
Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.