Emmanuel Agu

2.8k citations
150 papers · 1.8k indexed · h-index 21

Impact in

Papers in

Emmanuel Agu

135 papers receiving 1.7k citations

Peers

Emmanuel Agu
Comparison fields: 5 of 134
  • Occupational Therapy 181
  • Applied Psychology 142
  • Rehabilitation 165
  • Computer Vision and Pattern Recognition 387
  • Computer Networks and Communications 414
Replace Miad Faezipour with:
Miad Faezipour United States
Sheikh Iqbal Ahamed United States
Oresti Baños Spain
Jennifer Boger Canada
Hassan Ghasemzadeh United States
Laura Fiorini Italy
Luís Paulo Reis Portugal
Ian Cleland United Kingdom
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Emmanuel Agu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emmanuel Agu Line = papers co-authored together Emmanuel Agu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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An Explainable Machine Learning Model for Chronic Wound Management Decisions.
20211
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18 201541
19
Design of the Feedback Engine for a Diabetes Self-care Smartphone App
20145
20
Dynamic correction of color appearance on mobile displays
20081

About Emmanuel Agu

Emmanuel Agu is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology, Occupational Therapy, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 150 papers that have together received 1.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (26 papers), Context-Aware Activity Recognition Systems (23 papers), Diabetic Foot Ulcer Assessment and Management (17 papers), Mobile Health and mHealth Applications (15 papers), Pressure Ulcer Prevention and Management (11 papers), Video Surveillance and Tracking Methods (10 papers), Human Mobility and Location-Based Analysis (10 papers) and Digital Mental Health Interventions (10 papers). The work is most often cited by research in Occupational Therapy (181 citations), Applied Psychology (142 citations), Rehabilitation (165 citations), Computer Vision and Pattern Recognition (387 citations) and Computer Networks and Communications (414 citations). Emmanuel Agu has collaborated with scholars based in United States, Canada and Nigeria. Frequent co-authors include Elke A. Rundensteiner, Bengisu Tulu, Diane M. Strong, P.C. Pedersen, Mark Claypool, Maryam Hasan, Lei Wang, Kaveh Pahlavan, Eric Girard and Seth A. Borg. Their work appears in journals such as IEEE Open Journal of Engineering in Medicine and Biology, IEEE Access, IEEE Sensors Journal, IEEE Journal of Biomedical and Health Informatics and Informatics.

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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