Aminu Da’u

14 papers and 426 indexed citations i.

About

Aminu Da’u is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Aminu Da’u has authored 14 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 10 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Aminu Da’u’s work include Recommender Systems and Techniques (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Topic Modeling (3 papers). Aminu Da’u is often cited by papers focused on Recommender Systems and Techniques (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Topic Modeling (3 papers). Aminu Da’u collaborates with scholars based in Malaysia, Nigeria and Saudi Arabia. Aminu Da’u's co-authors include Naomie Salim, Idris Rabiu, Maged Nasser, Alhuseen Omar Alsayed, Nor Azman Ismail, Layla Hasan, Hitham Alhussian, Faisal Saeed, Noreen Izza Arshad and Mohammed Al-Sarem and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Aminu Da’u i

Fields of papers citing papers by Aminu Da’u

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aminu Da’u. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aminu Da’u. The network helps show where Aminu Da’u may publish in the future.

Countries citing papers authored by Aminu Da’u

Since Specialization
Citations

This map shows the geographic impact of Aminu Da’u's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aminu Da’u with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aminu Da’u more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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