Aba‐Sah Dadzie

14 papers and 200 indexed citations i.

About

Aba‐Sah Dadzie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Aba‐Sah Dadzie has authored 14 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Aba‐Sah Dadzie’s work include Data Visualization and Analytics (8 papers), Semantic Web and Ontologies (8 papers) and Advanced Database Systems and Queries (3 papers). Aba‐Sah Dadzie is often cited by papers focused on Data Visualization and Analytics (8 papers), Semantic Web and Ontologies (8 papers) and Advanced Database Systems and Queries (3 papers). Aba‐Sah Dadzie collaborates with scholars based in United Kingdom, Germany and Slovenia. Aba‐Sah Dadzie's co-authors include Matthew Rowe, Emmanuel Pietriga, Victoria Uren, Daniela Petrelli, Vitaveska Lanfranchi, Simon Scerri, Fabio Ciravegna, Albert Burger, Tracy Epton and João Magalhães and has published in prestigious journals such as Journal of Cleaner Production, BMC Bioinformatics and BMC Public Health.

In The Last Decade

Co-authorship network of co-authors of Aba‐Sah Dadzie i

Fields of papers citing papers by Aba‐Sah Dadzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aba‐Sah Dadzie. 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 Aba‐Sah Dadzie. The network helps show where Aba‐Sah Dadzie may publish in the future.

Countries citing papers authored by Aba‐Sah Dadzie

Since Specialization
Citations

This map shows the geographic impact of Aba‐Sah Dadzie'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 Aba‐Sah Dadzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aba‐Sah Dadzie 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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