Top Journals

Journal of Artificial Intelligence Research (JAIR)

EAI Endorsed Transactions on Context-aware Systems and Applications

Elsevier Artificial Intelligence

Cover image Artificial Intelligence

All Springer Journals in Artificial Intelligence

Top Journals for Machine Learning & Artificial Intelligence

The Ranking of Top Journals for Computer Science and Electronics was prepared by Guide2Research, one of the leading portals for computer science research providing trusted data on scientific contributions since 2014.

The position in the ranking is based on a novel bibliometric score computed by G2R which is computed using the estimated h-index and the number of leading scientists who have endorsed the journal during the last three previous years.

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Frontiers in Artificial Intelligence

Frontiers in Artificial Intelligence publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of Artificial Intelligence. We cover a broad range of topics in artificial intelligence and its various forms and applications, e.g. Medicine and Public Health, Law, Language, Finance, Business, Education, Sustainability, and Policy and Governance, to name but a few.

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Taylor and Francis Online

Applied Artificial Intelligence

Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
All submitted manuscripts are subject to initial evaluation by the Editor and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers.

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