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Re-ranking of High-Impact AI Journals Based on H-Index

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Engineering Education and Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 112))

Abstract

This study presents a ranking of top 50 high-impacted journals in the field of artificial intelligence (AI) based on an original and simple new measure-h-index, with a comparison of the journal ranking by JIF. The divergence of the two journal ranking has been traced and analyzed. Several excellent journals considering both aspects of JIF and h-index have been detected. Some “underlying” notable journals with a modest or even low JIF have been awarded for their high h-index and their remarkable contribution to the most influential AI publications. The suggested ranking list of AI journals may provide interesting information for AI researchers making submission decisions and for librarians making subscription decisions, as well as for the funding agencies and university administrations to evaluate the applicants, and finally in general, help researchers to retrieve the most interesting and credible academic information.

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Correspondence to Lin Zhang .

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, L. (2012). Re-ranking of High-Impact AI Journals Based on H-Index. In: Zhang, L., Zhang, C. (eds) Engineering Education and Management. Lecture Notes in Electrical Engineering, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24820-7_32

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  • DOI: https://doi.org/10.1007/978-3-642-24820-7_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24819-1

  • Online ISBN: 978-3-642-24820-7

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