Indexing/Abstracting
Kaduna Journal of Geography is indexed by the following abstracting and indexing services:
Crossref is the official registration agency for Digital Object Identifiers (DOIs) in scholarly and professional publications. It maintains a comprehensive cross-publisher citation-linking network, enabling researchers to seamlessly follow reference citations from one publisher's platform directly to the cited content on another—subject to the target publisher's access policies. This global network encompasses millions of articles and other content items contributed by hundreds of scholarly and professional publishers.
Google Scholar offers a straightforward and broad search engine for scholarly literature, indexing peer-reviewed papers, theses, books, abstracts, court opinions, and articles from academic publishers, professional societies, preprint repositories, universities, and other scholarly sources. Results are ranked based on factors such as the full text of each article, the author's prominence, the publication venue, and citation frequency, ensuring the most relevant and influential works appear at the top.
ResearchGate is a leading European-based professional networking platform for scientists and researchers. It enables users to share publications, pose and answer questions, discover collaborators, and track research impact. Widely recognized as one of the largest academic social networks by active users (as noted in studies from Nature in 2014 and Times Higher Education in 2016), it serves as a key venue for disseminating and accessing scholarly work.
Scilit is a free, comprehensive scholarly database and content aggregator developed and maintained by the open-access publisher MDPI. It indexes over 190 million scientific publications—including journal articles, preprints, book chapters, and conference proceedings—sourced from major databases such as CrossRef and PubMed.
Semantic Scholar is a free, AI-powered academic search engine developed by the Allen Institute for AI (Ai2) that indexes over 200 million scholarly publications across all scientific disciplines. Designed to accelerate literature discovery, it utilizes machine learning and natural language processing to extract key findings, generate automated one-sentence "TLDR" summaries, and distinguish "Highly Influential Citations" where a paper's methodology or results directly build upon prior work.
These indexing services enhance the visibility, discoverability, and citation potential of articles published in KJG.
