Abdullah Alsuwailem
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health
- Co-authors
- Ridha DjemalSutrisno IbrahimKhalil AlSharabiSofien GannouniSaleh A. AlshebeiliCharles M. MyerSyed Manzoor QasimNizar Tayem
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Blind Source Separation Techniques (4 papers)Neuroscience and Neural Engineering (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioMed Research InternationalSeminars in Pediatric Surgery
- Partner nations
- Saudi ArabiaUnited States
In The Last Decade
Abdullah Alsuwailem
10 papers receiving 296 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 251
- Cellular and Molecular Neuroscience 82
- Signal Processing 66
- Cardiology and Cardiovascular Medicine 52
- Psychiatry and Mental health 27
Countries citing papers authored by Abdullah Alsuwailem
This map shows the geographic impact of Abdullah Alsuwailem'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 Abdullah Alsuwailem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Alsuwailem more than expected).
Fields of papers citing papers by Abdullah Alsuwailem
This network shows the impact of papers produced by Abdullah Alsuwailem. 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 Abdullah Alsuwailem. The network helps show where Abdullah Alsuwailem may publish in the future.
Co-authorship network of co-authors of Abdullah Alsuwailem
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Alsuwailem. A scholar is included among the top collaborators of Abdullah Alsuwailem 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 Abdullah Alsuwailem. Abdullah Alsuwailem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 12 | |
| 3 | 21 | |
| 4 | 130 | |
| 5 | 93 | |
| 6 | 23 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 |
About Abdullah Alsuwailem
Abdullah Alsuwailem is a scholar working on Signal Processing, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Blind Source Separation Techniques (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (251 citations), Signal Processing (66 citations) and Cellular and Molecular Neuroscience (82 citations). Abdullah Alsuwailem has collaborated with scholars based in Saudi Arabia and United States. Frequent co-authors include Ridha Djemal, Sutrisno Ibrahim, Khalil AlSharabi, Sofien Gannouni, Saleh A. Alshebeili, Charles M. Myer, Syed Manzoor Qasim, Nizar Tayem, Gulraiz Chaudry and Ahmed A. Hussain. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and Seminars in Pediatric Surgery.
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.