Top Artificial Intelligence and Machine Learning Scientific Journals
Tamer Khraisha (Ph.D)
Software Engineer | O'Reilly Author | Financial Data Management and Technology
The expansion of the fields of artificial intelligence and machine learning over the past ten years has resulted in a huge number of new publications and an exponential increase in the amount of research produced on a daily basis. But which articles are the most important to read in order to comprehend and stay current on AI and ML developments? To answer this question, this article provides a list of the most prestigious journals in the field of AI and ML to follow for the latest and finest findings in the literature.
1. Proceedings of the National Academy of Sciences (PNAS)
The Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS), is an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences. The journal is global in scope and submission is open to all researchers worldwide. PNAS is one of the world's most-cited and comprehensive multidisciplinary scientific journals, publishing more than 3,500 research papers annually.
Impact factor: 12.77 as of 2021
Example ML article here
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2. Nature
Nature is a weekly international journal publishing the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature also provides rapid, authoritative, insightful and arresting news and interpretation of topical and coming trends affecting science, scientists and the wider public.
Impact factor: 69.504 as of 2022
Example ML article here
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3. Science Magazine
Science, also widely referred to as Science Magazine, is the peer-reviewed academic journal of the American Association for the Advancement of Science and one of the world's top academic journals. It was first published in 1880, is currently circulated weekly and has a subscriber base of around 130,000.
Example ML article here
Impact factor: 63.71 as of 2021
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4. Science Robotics
Science Robotics is a peer-reviewed scientific journal published by the American Association for the Advancement of Science. Subjects covered are Artificial intelligence, Mathematics, Computer science, Mechanical Engineering, macro, micro and nano robots, advanced materials, and biologically influenced designs. Its scope includes theoretical research and real world applications.
Impact factor: 23.748 as of 2021.
Example AI article here
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5. Nature Machine Intelligence
Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. The journal explores and discusses the significant impact that these fields have on other scientific disciplines as well as many aspects of society and industry.
Impact factor: 25.912 as of 2021
Example ML article here
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6. Science Advances
Science Advances is the American Association for the Advancement of Science’s (AAAS) open access multidisciplinary journal, publishing impactful research papers and reviews in any area of science, in both disciplinary-specific and broad, interdisciplinary areas. The mission of Science Advances is to provide fair, fast, and expert peer review to authors and a vetted selection of research, freely available to readers.
Impact factor: 16.894 as of 2022
Example ML article here
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7. IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence grants a venue for the publication of new research results in the quickly growing fields of Image Processing & Computer Vision and Machine Learning & Artificial intelligence. The primary research topics published in this academic venue include Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Feature extraction.
Impact factor: 24.314 as of 2022
Example article here
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8. Pattern Recognition
Pattern Recognition accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature.
Impact factor: 8.518 as of 2022
Example article here
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9. Foundations and Trends in Machine Learning
The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Machine Learning publishes high-quality survey and tutorial monographs of the field.
Impact factor: not known to me, but some sources say 69.556 as of 2022
Example article here
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10. International Journal of Computer Vision
International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.
Impact factor: 13.369 as of 2022
Example article here
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11. IEEE Transactions on Neural Networks and Learning Systems
The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems.
Impact factor: 14.255
Example article here
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12. Scientific Reports
Scientific Reports is an open access journal publishing original research from across all areas of the natural sciences, psychology, medicine and engineering.
Impact factor: 4.996 as of 2021
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