Kaveh Samiee
- Cognitive Neuroscience top 5%
- Signal Processing top 2%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Moncef GabboujPéter KovácsSerkan KıranyazT. SaramäkiJenni RaitoharjuAlexandros IosifidisHonglei ZhangMustafa Amir Faisal
- Topics
- EEG and Brain-Computer Interfaces (6 papers)Blind Source Separation Techniques (6 papers)ECG Monitoring and Analysis (3 papers)
In The Last Decade
Kaveh Samiee
13 papers receiving 513 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 437
- Signal Processing 315
- Cardiology and Cardiovascular Medicine 134
- Artificial Intelligence 80
- Cellular and Molecular Neuroscience 58
Countries citing papers authored by Kaveh Samiee
This map shows the geographic impact of Kaveh Samiee'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 Kaveh Samiee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaveh Samiee more than expected).
Fields of papers citing papers by Kaveh Samiee
This network shows the impact of papers produced by Kaveh Samiee. 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 Kaveh Samiee. The network helps show where Kaveh Samiee may publish in the future.
Co-authorship network of co-authors of Kaveh Samiee
This figure shows the co-authorship network connecting the top 25 collaborators of Kaveh Samiee. A scholar is included among the top collaborators of Kaveh Samiee 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 Kaveh Samiee. Kaveh Samiee 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 | 5 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 86 | |
| 6 | 58 | |
| 7 | 10 | |
| 8 | Rhythm-based accuracy improvement of heart beat detection algorithms | 2 |
| 9 | Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transformbreakdown → | 312 |
| 10 | 21 | |
| 11 | 1 | |
| 12 | A REPLACEMENT ALGORITHM BASED ON WEIGHTING AND RANKING CACHE OBJECTS | 9 |
| 13 | 8 | |
| 14 | 6 |
About Kaveh Samiee
Kaveh Samiee is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 537 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Blind Source Separation Techniques (6 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Signal Processing (315 citations), Cognitive Neuroscience (437 citations) and Cardiology and Cardiovascular Medicine (134 citations). Kaveh Samiee has collaborated with scholars based in Hungary, Finland and Iran. Frequent co-authors include Moncef Gabbouj, Péter Kovács, Serkan Kıranyaz, T. Saramäki, Jenni Raitoharju, Péter Kovács, Alexandros Iosifidis, Honglei Zhang, Mustafa Amir Faisal and Iftikhar Ahmad. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Knowledge-Based 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.