Emmanuel Gbenga Dada

34 papers and 824 indexed citations i.

About

Emmanuel Gbenga Dada is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Emmanuel Gbenga Dada has authored 34 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Emmanuel Gbenga Dada’s work include COVID-19 diagnosis using AI (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Artificial Intelligence in Healthcare (3 papers). Emmanuel Gbenga Dada is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Artificial Intelligence in Healthcare (3 papers). Emmanuel Gbenga Dada collaborates with scholars based in Nigeria, United States and Norway. Emmanuel Gbenga Dada's co-authors include David Opeoluwa Oyewola, Joseph Stephen Bassi, Shafi’i Muhammad Abdulhamid, Haruna Chiroma, Adebayọ Olusọla Adetunmbi, Sanjay Misra, Robertas Damaševičius, Ban Mohammed Khammas, Afeez Abidemi and Olugbenga Oluwagbemi and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Gbenga Dada i

Fields of papers citing papers by Emmanuel Gbenga Dada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel Gbenga Dada. 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 Emmanuel Gbenga Dada. The network helps show where Emmanuel Gbenga Dada may publish in the future.

Countries citing papers authored by Emmanuel Gbenga Dada

Since Specialization
Citations

This map shows the geographic impact of Emmanuel Gbenga Dada'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 Emmanuel Gbenga Dada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Gbenga Dada 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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2025