What do we know about the h index?
Journal of the American Society for Information Science and Technology
An h-index weighted by citation impact
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Quantifying Scholarly Impact: IQp Versus the Hirsch h
Journal of the American Society for Information Science and Technology
Mathematical theory of the h- and g-index in case of fractional counting of authorship
Journal of the American Society for Information Science and Technology
A proposal for a dynamic h-type index
Journal of the American Society for Information Science and Technology
A case study of the modified Hirsch index hm accounting for multiple coauthors
Journal of the American Society for Information Science and Technology
The inconsistency of the h-index
Journal of the American Society for Information Science and Technology
Mining research abstracts for exploration of research communities
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies
Extracting and matching authors and affiliations in scholarly documents
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
OverCite: finding overlapping communities in citation network
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Extending the power of datalog recursion
The VLDB Journal — The International Journal on Very Large Data Bases
Subfield effects on the core of coauthors
Scientometrics
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I propose the index $$\hbar$$ ("hbar"), defined as the number of papers of an individual that have citation count larger than or equal to the $$\hbar$$ of all coauthors of each paper, as a useful index to characterize the scientific output of a researcher that takes into account the effect of multiple authorship. The bar is higher for $$\hbar.$$