Farras Abdelnour
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Statistical and Nonlinear Physics
- Epidemiology
- Co-authors
- Ashish RajHenning U. VossTheodore J. HuppertOrrin DevinskyThomas ThesenMichael DayanChristopher R. GenoveseBenjamin Schmidt
- Topics
- Functional Brain Connectivity Studies (10 papers)Advanced Neuroimaging Techniques and Applications (9 papers)Optical Imaging and Spectroscopy Techniques (5 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingStatistical and Nonlinear Physics
- Partner nations
- United StatesSwitzerlandGrenada
In The Last Decade
Farras Abdelnour
17 papers receiving 443 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 335
- Radiology, Nuclear Medicine and Imaging 267
- Biomedical Engineering 80
- Statistical and Nonlinear Physics 28
- Epidemiology 25
Countries citing papers authored by Farras Abdelnour
This map shows the geographic impact of Farras Abdelnour'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 Farras Abdelnour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farras Abdelnour more than expected).
Fields of papers citing papers by Farras Abdelnour
This network shows the impact of papers produced by Farras Abdelnour. 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 Farras Abdelnour. The network helps show where Farras Abdelnour may publish in the future.
Co-authorship network of co-authors of Farras Abdelnour
This figure shows the co-authorship network connecting the top 25 collaborators of Farras Abdelnour. A scholar is included among the top collaborators of Farras Abdelnour 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 Farras Abdelnour. Farras Abdelnour 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 | 9 | |
| 3 | 94 | |
| 4 | 2 | |
| 5 | 35 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 175 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 2 | |
| 16 | 27 | |
| 17 | 1 | |
| 18 | 2 |
About Farras Abdelnour
Farras Abdelnour is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Applied Mathematics, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (335 citations), Radiology, Nuclear Medicine and Imaging (267 citations) and Statistical and Nonlinear Physics (28 citations). Farras Abdelnour has collaborated with scholars based in United States, Switzerland and Grenada. Frequent co-authors include Ashish Raj, Henning U. Voss, Theodore J. Huppert, Orrin Devinsky, Thomas Thesen, Michael Dayan, Christopher R. Genovese, Benjamin Schmidt, Susanne G. Mueller and Amy Kuceyeski. Their work appears in journals such as NeuroImage, Brain and PLoS Computational Biology.
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.