SCI and Scopus-indexed journals are considered as the best journals because they have a strong peer review and high impact factors. The impact factor of the Journal of Machine Learning Research (JMLR) is one such major indicator of its impact on the field.
Researchers who are all aiming for high-impact journals tend to choose SCI-indexed journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Springer Machine Learning.
Open-access journals like the Journal of Machine Learning Research (JMLR) give unrestricted access to research articles which makes them more accessible. On the other hand, subscription journals like IEEE Transactions on Pattern Analysis and Machine Intelligence limit access to members of institutions thereby making them unavailable for everyone, but those who want to publish in these kinds of journals, PhD scholars have to cite the prior IEEE Paper on Machine Learning.
While submitting your research paper to the journal, check whether your paper is aligned with the expectations of the journal. For example, the International Journal of Machine Learning and Cybernetics targets AI and cybersecurity, whereas IEEE Transactions on Pattern Analysis and Machine Intelligence prefer machine learning breakthroughs in pattern analysis and the citation needed to have from IEEE research papers on machine Learning PDFs. Getting to know about the scope of the journal will help in molding the work in the right context.
The impact factor indicates a journal's frequency of citation and impact. The JMLR impact factor is a crucial factor for researchers preferring to publish their research articles in the Journal of Machine Learning Research (JMLR). Top-impact journals, like IEEE Transactions on Pattern Analysis and Machine Intelligence, receive top-quality research.
WOS Impact Factor, WOS Q factor, SNIP and Scopus Quartile (Q factor) are important metrics for evaluating the quality, reputation and influence of a Journal, helping researchers determine its standing within the academic community.Journals indexed in Web of Science (WOS) and Scopus are categorized based on their Quartile (Q Factor), and their credibility is further validated by reputed Publishers such as Springer,Elsevier, IEEE, and JMLR.
Journal Name | WOS Impact factor | WOS Q factor | SNIP | Scopus Quartile (Q factor) | Publisher |
---|---|---|---|---|---|
International Journal of Machine learning and cybernetics | 3.1 | Q2 | 1.217 | Q1 | Springer Science+Business Media |
Journal of Machine Learning Research | 4.3 | Q2 | 4.031 | Q1 | JMLR, Inc. and Microtome Publishing |
Machine learning | 4.3 | Q2 | 2.570 | Q1 | Springer Nature |
IEEE Transactions on Pattern Analysis and Machine Intelligence | 20.8 | Q1 | 6.470 | Q1 | IEEE Computer Society |
Machine Vision and Applications | 2.4 | Q2 | 1.142 | Q2 | Springer Science+Business Media |
Neural Networks | 6 | Q1 | 2.442 | Q1 | Elsevier |
Selecting the right journal entails considering the audience, scope, and acceptance rate of the journal. In case your research is on theoretical contributions, JMLR journal would be ideal. If you are conducting applied AI or machine learning papers, journals from IEEE, elsevier and springer can be chosen. Moreover, matching the scope of the journals with your research objective and outcome assists in determining the right journal for your research paper.
Publishers from IEEE, Springer and Elsevier provide different journals to publish the research work of PhD but journal selection depends on the access, impact, and indexing along with the exact matching of your research objective with the journals’ scope. Through systematic consideration of these factors, scholars can achieve a better research payoff and career progression in the field(Engineering field,Management field) of artificial intelligence and machine learning.
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