Machine Learning-Science and Technology
metrics 2024
Fostering collaboration in the realm of machine learning advancements.
Introduction
Machine Learning-Science and Technology is a premier open-access journal published by IOP Publishing Ltd, dedicated to advancing the field of artificial intelligence, human-computer interaction, and software development. Since its inception in 2020, this innovative journal has established itself as a critical resource for researchers, professionals, and students alike, achieving a commendable Q1 ranking across multiple categories in 2023. With an impressive Scopus ranking—#70 out of 407 in Computer Science Software, #26 out of 145 in Human-Computer Interaction, and #73 out of 350 in Artificial Intelligence—it provides a platform for cutting-edge research and significant advancements in machine learning technologies. Accessibility as an open-access journal since its launch ensures that the latest findings are freely available to a broader audience, fostering collaboration and knowledge-sharing within the scientific community. The journal aims to cover a wide spectrum of topics within its scope, encouraging submissions that push the boundaries of what is possible in machine learning applications. By fostering an environment of innovation, Machine Learning-Science and Technology stands at the forefront of this rapidly evolving field, shaping the future of technology and its interaction with society.
Metrics 2024
Metrics History
Rank 2024
IF (Web Of Science)
JCI (Web Of Science)
Quartile History
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