Shahab Abdulla
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yan LiMohammed DiykhRavinesh C. DeoSiuly SiulyNawin RajMumtaz AliRamendra PrasadJonathan H. Green
- Topics
- EEG and Brain-Computer Interfaces (15 papers)Energy Load and Power Forecasting (9 papers)Blind Source Separation Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsJournal of Cleaner Production
- Partner nations
- AustraliaIraqSaudi Arabia
In The Last Decade
Shahab Abdulla
57 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 418
- Signal Processing 203
- Artificial Intelligence 182
- Environmental Engineering 155
- Electrical and Electronic Engineering 155
Countries citing papers authored by Shahab Abdulla
This map shows the geographic impact of Shahab Abdulla'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 Shahab Abdulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahab Abdulla more than expected).
Fields of papers citing papers by Shahab Abdulla
This network shows the impact of papers produced by Shahab Abdulla. 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 Shahab Abdulla. The network helps show where Shahab Abdulla may publish in the future.
Co-authorship network of co-authors of Shahab Abdulla
This figure shows the co-authorship network connecting the top 25 collaborators of Shahab Abdulla. A scholar is included among the top collaborators of Shahab Abdulla 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 Shahab Abdulla. Shahab Abdulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 47 | |
| 18 | 66 | |
| 19 | Students' mathematical preparation: differences in staff and student perceptions | 6 |
| 20 | 4 |
About Shahab Abdulla
Shahab Abdulla is a scholar working on Architecture, Modeling and Simulation and Developmental Neuroscience, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Energy Load and Power Forecasting (9 papers) and Blind Source Separation Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (418 citations), Signal Processing (203 citations) and Environmental Engineering (155 citations). Shahab Abdulla has collaborated with scholars based in Australia, Iraq and Saudi Arabia. Frequent co-authors include Yan Li, Mohammed Diykh, Ravinesh C. Deo, Siuly Siuly, Nawin Raj, Mumtaz Ali, Ramendra Prasad, Jonathan H. Green, Khalid Saleh and Peng Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.
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.