Ejay Nsugbe
Impact in
- Health Informatics top 10%
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- Muscle activation and electromyography studies 14
- Non-Invasive Vital Sign Monitoring 6
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- EEG and Brain-Computer Interfaces 18
- Co-authors
- Oluwarotimi Williams Samuel (17 shared papers)Cristobal Ruiz-Cárcel (9 shared papers)Andrew Starr (8 shared papers)Mojisola Grace Asogbon (12 shared papers)Guanglin Li (10 shared papers)C.A. Phillips (3 shared papers)Mike Fraser (1 shared paper)Jess McIntosh (1 shared paper)
- Journals
- Intelligent Systems with Applications (3 papers)Powder Technology (2 papers)Sensors (2 papers)CAAI Transactions on Intelligence Technology (2 papers)Frontiers in Immunology (1 paper)
- Partner nations
- United KingdomChinaMexico
In The Last Decade
Ejay Nsugbe
50 papers receiving 427 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 12
- Cognitive Neuroscience 154
- Health Information Management 33
- Anesthesiology and Pain Medicine 24
- Biomedical Engineering 209
Countries citing papers authored by Ejay Nsugbe
This map shows the geographic impact of Ejay Nsugbe'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 Ejay Nsugbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ejay Nsugbe more than expected).
Fields of papers citing papers by Ejay Nsugbe
This network shows the impact of papers produced by Ejay Nsugbe. 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 Ejay Nsugbe. The network helps show where Ejay Nsugbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Ejay Nsugbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2016 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2023 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2018 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2012 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 2018 | 9 |
About Ejay Nsugbe
Ejay Nsugbe is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Computational Mechanics, having authored 59 papers that have together received 490 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Muscle activation and electromyography studies (14 papers), Neuroscience and Neural Engineering (10 papers), Neonatal and fetal brain pathology (7 papers), Granular flow and fluidized beds (7 papers), Non-Invasive Vital Sign Monitoring (6 papers), Mineral Processing and Grinding (6 papers) and Preterm Birth and Chorioamnionitis (5 papers). The work is most often cited by research in Health Informatics (12 citations), Cognitive Neuroscience (154 citations), Health Information Management (33 citations), Anesthesiology and Pain Medicine (24 citations) and Biomedical Engineering (209 citations). Ejay Nsugbe has collaborated with scholars based in United Kingdom, China and Mexico. Frequent co-authors include Oluwarotimi Williams Samuel, Cristobal Ruiz-Cárcel, Andrew Starr, Mojisola Grace Asogbon, Guanglin Li, C.A. Phillips, Mike Fraser, Jess McIntosh, Ian Jennions and Ali H. Al‐Timemy. Their work appears in journals such as Intelligent Systems with Applications, Powder Technology, Sensors, CAAI Transactions on Intelligence Technology and Frontiers in Immunology.
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.