English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The h-index provides us with nine natural classes which can be written as amatrix of three vectors. The three vectors are: X=(X1, X2, X3) indicatepublication distribution in the h-core, the h-tail, and the uncited ones,respectively; Y=(Y1, Y2, Y3) denote the citation distribution of the h-core,the h-tail and the so-called "excess" citations (above the h-threshold),respectively; and Z=(Z1, Z2, Z3)= (Y1-X1, Y2-X2, Y3-X3). The matrix V=(X,Y,Z)Tconstructs a measure of academic performance, in which the nine numbers can allbe provided with meanings in different dimensions. The "academic trace" tr(V)of this matrix follows naturally, and contributes a unique indicator for totalacademic achievements by summarizing and weighting the accumulation ofpublications and citations. This measure can also be used to combine theadvantages of the h-index and the Integrated Impact Indicator (I3) into asingle number with a meaningful interpretation of the values. We illustrate theuse of tr(V) for the cases of two journal sets, two universities, and ourselvesas two individual authors.

The "Academic Trace" of the Performance Matrix: A Mathematical Synthesis of the h-Index and the Integrated Impact Indicator (I3)