Ibrahima Faye
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Ocean Engineering top 1%
- Computer Networks and Communications top 2%
- Co-authors
- Mohamed Meselhy EltoukhySamir Brahim BelhaouariAamir Saeed MalikNidal KamelAzween AbdullahMuhammad AyazImran BaigMunsif Ali Jatoi
- Topics
- EEG and Brain-Computer Interfaces (36 papers)Functional Brain Connectivity Studies (23 papers)AI in cancer detection (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJNCI Journal of the National Cancer Institute
- Partner nations
- MalaysiaSaudi ArabiaFrance
In The Last Decade
Ibrahima Faye
190 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 615
- Artificial Intelligence 545
- Computer Vision and Pattern Recognition 502
- Ocean Engineering 476
- Computer Networks and Communications 452
Countries citing papers authored by Ibrahima Faye
This map shows the geographic impact of Ibrahima Faye'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 Ibrahima Faye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahima Faye more than expected).
Fields of papers citing papers by Ibrahima Faye
This network shows the impact of papers produced by Ibrahima Faye. 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 Ibrahima Faye. The network helps show where Ibrahima Faye may publish in the future.
Co-authorship network of co-authors of Ibrahima Faye
This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahima Faye. A scholar is included among the top collaborators of Ibrahima Faye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ibrahima Faye. Ibrahima Faye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 34 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | Border Noise Removal from the Document Image Using X-Y Cut and Filtering Technique Based on Morphological Operation | 2 |
| 20 | Automated Detection of Microaneurysms Using Curvelet Transform | 1 |
About Ibrahima Faye
Ibrahima Faye is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing, having authored 204 papers that have together received 2.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (36 papers), Functional Brain Connectivity Studies (23 papers) and AI in cancer detection (18 papers). The work is most often cited by research in Cognitive Neuroscience (615 citations), Ocean Engineering (476 citations) and Computer Vision and Pattern Recognition (502 citations). Ibrahima Faye has collaborated with scholars based in Malaysia, Saudi Arabia and France. Frequent co-authors include Mohamed Meselhy Eltoukhy, Samir Brahim Belhaouari, Aamir Saeed Malik, Nidal Kamel, Azween Abdullah, Muhammad Ayaz, Imran Baig, Munsif Ali Jatoi, Norashikin Yahya and Sylvain Caillol. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.