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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hirsch, J.E.: An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America 102(46), 16569–16572 (2005)
Braun, T., Glänzel, W., Schubert, A.: A Hirsch-type index for journals. The Scientist 19(22), 8 (2005)
Rossener, M., Van Epps, H., Hill, E.: Show me the deta! Journal of Cell Biology 179(6), 1091–1092 (2007)
Moussa, S., Touzani, M.: Ranking marketing journals using the Google Scholar-based hg-index. Journal of Informetrics 4(1), 107–117 (2010)
Gisvold, S.E.: Citation analysis and journal impact factors: Is the tail wagging the dog? Acta Anaesthesiologica Scandinavica 43, 971–973 (1999)
Banks, M.G.: An extension of the Hirsch index: Indexing scientific topics and compounds. Scientometrics 69(1), 161–168 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-24820-7_32
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24819-1
Online ISBN: 978-3-642-24820-7
eBook Packages: EngineeringEngineering (R0)