Ammar Shaikhouni
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Neurology top 10%
- Co-authors
- Chad BoutonAli R. RezaiDavid A. FriedenbergGaurav SharmaNicholas V. AnnettaW. Jerry MysiwBradley GlennDylan M. Nielson
- Topics
- Neuroscience and Neural Engineering (8 papers)EEG and Brain-Computer Interfaces (8 papers)Glioma Diagnosis and Treatment (7 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Ammar Shaikhouni
31 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 712
- Cellular and Molecular Neuroscience 608
- Biomedical Engineering 313
- Electrical and Electronic Engineering 164
- Neurology 113
Countries citing papers authored by Ammar Shaikhouni
This map shows the geographic impact of Ammar Shaikhouni'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 Ammar Shaikhouni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Shaikhouni more than expected).
Fields of papers citing papers by Ammar Shaikhouni
This network shows the impact of papers produced by Ammar Shaikhouni. 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 Ammar Shaikhouni. The network helps show where Ammar Shaikhouni may publish in the future.
Co-authorship network of co-authors of Ammar Shaikhouni
This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Shaikhouni. A scholar is included among the top collaborators of Ammar Shaikhouni 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 Ammar Shaikhouni. Ammar Shaikhouni 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 | 12 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 54 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 22 | |
| 14 | Restoring cortical control of functional movement in a human with quadriplegiabreakdown → | 607 |
| 15 | 2 | |
| 16 | 31 | |
| 17 | 42 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 64 |
About Ammar Shaikhouni
Ammar Shaikhouni is a scholar working on Genetics, Cellular and Molecular Neuroscience and Internal Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (8 papers) and Glioma Diagnosis and Treatment (7 papers). The work is most often cited by research in Cognitive Neuroscience (712 citations), Cellular and Molecular Neuroscience (608 citations) and Health Informatics (13 citations). Ammar Shaikhouni has collaborated with scholars based in United States and Canada. Frequent co-authors include Chad Bouton, Ali R. Rezai, David A. Friedenberg, Gaurav Sharma, Nicholas V. Annetta, W. Jerry Mysiw, Bradley Glenn, Dylan M. Nielson, Marcia Bockbrader and Austin Morgan. Their work appears in journals such as Nature, Journal of Neuroscience and Journal of Neurophysiology.
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.