Bahareh Pourbabaee
- Cardiology and Cardiovascular Medicine top 10%
- Control and Systems Engineering top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Topics
- ECG Monitoring and Analysis (5 papers)Fault Detection and Control Systems (5 papers)EEG and Brain-Computer Interfaces (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCognitive NeuroscienceControl and Systems Engineering
In The Last Decade
Bahareh Pourbabaee
11 papers receiving 648 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 284
- Control and Systems Engineering 226
- Cognitive Neuroscience 199
- Biomedical Engineering 129
- Artificial Intelligence 120
Countries citing papers authored by Bahareh Pourbabaee
This map shows the geographic impact of Bahareh Pourbabaee'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 Bahareh Pourbabaee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahareh Pourbabaee more than expected).
Fields of papers citing papers by Bahareh Pourbabaee
This network shows the impact of papers produced by Bahareh Pourbabaee. 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 Bahareh Pourbabaee. The network helps show where Bahareh Pourbabaee may publish in the future.
Co-authorship network of co-authors of Bahareh Pourbabaee
This figure shows the co-authorship network connecting the top 25 collaborators of Bahareh Pourbabaee. A scholar is included among the top collaborators of Bahareh Pourbabaee 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 Bahareh Pourbabaee. Bahareh Pourbabaee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Daily Mental Stress Prediction Using Heart Rate Variability | 1 |
| 2 | Deep Convolutional Neural Network for ECG-based Human Identification | 24 |
| 3 | 25 | |
| 4 | Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patientsbreakdown → | 326 |
| 5 | 38 | |
| 6 | 24 | |
| 7 | 176 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 13 |
About Bahareh Pourbabaee
Bahareh Pourbabaee is a scholar working on Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Cognitive Neuroscience, having authored 11 papers that have together received 666 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (5 papers), Fault Detection and Control Systems (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (284 citations), Cognitive Neuroscience (199 citations) and Control and Systems Engineering (226 citations). Bahareh Pourbabaee has collaborated with scholars based in Canada, Qatar and Iran. Frequent co-authors include K. Khorasani, Mehrsan Javan, Nader Meskin, C. Lucas and Matthew Patterson. Their work appears in journals such as Mechanical Systems and Signal Processing, IEEE Transactions on Control Systems Technology and IEEE Transactions on Systems Man and Cybernetics Systems.
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.