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

A lot of scientific works are published in different areas of science,technology, engineering and mathematics. It is not easy, even for experts, tojudge the quality of authors, papers and venues (conferences and journals). Anobjective measure to assign scores to these entities and to rank them is veryuseful. Although, several metrics and indexes have been proposed earlier, theysuffer from various problems. In this paper, we propose a graph-based analyticsframework to assign scores and to rank authors, papers and venues. Ouralgorithm considers only the link structures of the underlying graphs. It doesnot take into account other aspects, such as the associated texts and thereputation of these entities. In the limit of large number of iterations, thesolution of the iterative equations gives the unique entity scores. Thisframework can be easily extended to other interdependent networks.

A Graph Analytics Framework for Ranking Authors, Papers and Venues