  The Arabic Citation Index (ARCI) was launched in 2020. This article provides
an overview of the scientific literature contained in this new database and
explores its possible usage in research evaluation. As of May 2022, ARCI had
indexed 138,283 scientific publications published between 2015 and 2020. ARCI's
coverage is characterised by using the metadata available in scientific
publications. First, I investigate the distributions of the indexed literature
at various levels (research domains, countries, languages, open access).
Articles make up nearly all the documents indexed with a share of 99% of ARCI.
The Arts & Humanities and Social Sciences fields have the highest concentration
of publications. Most indexed journals are published in Egypt, Algeria, Iraq,
Jordan, and Saudi Arabia. About 8% of publications in ARCI are published in
languages other than Arabic. Second, I use an unsupervised machine learning
model, LDA (Latent Dirichlet Allocation), and the text mining algorithm of
VOSviewer to uncover the main topics in ARCI. These methods provide a better
understanding of ARCI's thematic structure. Next, I discuss how ARCI can
complement global standards in the context of a more inclusive research
evaluation. Finally, I suggest a few research opportunities after discussing
the findings of this study.

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