Emmanuel Agu

86 papers and 782 indexed citations i.

About

Emmanuel Agu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Emmanuel Agu has authored 86 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Emmanuel Agu’s work include Diabetic Foot Ulcer Assessment and Management (13 papers), Anomaly Detection Techniques and Applications (12 papers) and Context-Aware Activity Recognition Systems (11 papers). Emmanuel Agu is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (13 papers), Anomaly Detection Techniques and Applications (12 papers) and Context-Aware Activity Recognition Systems (11 papers). Emmanuel Agu collaborates with scholars based in United States, Saudi Arabia and Canada. Emmanuel Agu's co-authors include Bengisu Tulu, Diane M. Strong, P.C. Pedersen, Lei Wang, Elke A. Rundensteiner, Maryam Hasan, Mark Claypool, Kaveh Pahlavan, Ronald A. Ignotz and Edwin D. Boudreaux and has published in prestigious journals such as Sensors, IEEE Transactions on Biomedical Engineering and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Agu i

Fields of papers citing papers by Emmanuel Agu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emmanuel Agu

Since Specialization
Citations

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