Mohammad Shahbakhti
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Piotr AugustyniakVaidotas MarozasMichał WierzchońMojtaba NazariJordi Solé‐CasalsWei ChenJörn M. HorschigJeroen Dudink
- Topics
- EEG and Brain-Computer Interfaces (18 papers)Blind Source Separation Techniques (12 papers)Non-Invasive Vital Sign Monitoring (7 papers)
In The Last Decade
Mohammad Shahbakhti
30 papers receiving 266 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 163
- Signal Processing 89
- Cardiology and Cardiovascular Medicine 54
- Biomedical Engineering 48
- Human-Computer Interaction 36
Countries citing papers authored by Mohammad Shahbakhti
This map shows the geographic impact of Mohammad Shahbakhti'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 Mohammad Shahbakhti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shahbakhti more than expected).
Fields of papers citing papers by Mohammad Shahbakhti
This network shows the impact of papers produced by Mohammad Shahbakhti. 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 Mohammad Shahbakhti. The network helps show where Mohammad Shahbakhti may publish in the future.
Co-authorship network of co-authors of Mohammad Shahbakhti
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shahbakhti. A scholar is included among the top collaborators of Mohammad Shahbakhti 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 Mohammad Shahbakhti. Mohammad Shahbakhti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 52 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | Investigation of two methods based on Empirical Mode Decomposition for removal of real and contaminated blink from EEG | 1 |
| 18 | 13 | |
| 19 | 12 | |
| 20 | 23 |
About Mohammad Shahbakhti
Mohammad Shahbakhti is a scholar working on Signal Processing, Cognitive Neuroscience and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 275 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (12 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Cognitive Neuroscience (163 citations), Signal Processing (89 citations) and Human-Computer Interaction (36 citations). Mohammad Shahbakhti has collaborated with scholars based in Iran, Lithuania and Poland. Frequent co-authors include Piotr Augustyniak, Vaidotas Marozas, Michał Wierzchoń, Mojtaba Nazari, Jordi Solé‐Casals, Wei Chen, Jörn M. Horschig, Jeroen Dudink, Marianne Floor and Willy N. J. M. Colier. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.