Saeid Rashidi
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Ali FallahFarzad TowhidkhahAli SheikhaniAhmad ShalbafHamed AzarnoushRolando F. Del MaestroTirdad SeifiMahdad Esmaeili
- Topics
- EEG and Brain-Computer Interfaces (15 papers)Ultrasound Imaging and Elastography (8 papers)ECG Monitoring and Analysis (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaVision ResearchBioMed Research International
In The Last Decade
Saeid Rashidi
50 papers receiving 378 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 113
- Cognitive Neuroscience 113
- Artificial Intelligence 92
- Biomedical Engineering 76
- Cardiology and Cardiovascular Medicine 71
Countries citing papers authored by Saeid Rashidi
This map shows the geographic impact of Saeid Rashidi'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 Saeid Rashidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeid Rashidi more than expected).
Fields of papers citing papers by Saeid Rashidi
This network shows the impact of papers produced by Saeid Rashidi. 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 Saeid Rashidi. The network helps show where Saeid Rashidi may publish in the future.
Co-authorship network of co-authors of Saeid Rashidi
This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Rashidi. A scholar is included among the top collaborators of Saeid Rashidi 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 Saeid Rashidi. Saeid Rashidi 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | Correlation Between Heart Mediastinal and Epicardial Fat Volumes and Coronary Artery Disease Based on Computed Tomography Images | 3 |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 13 | |
| 20 | 4 |
About Saeid Rashidi
Saeid Rashidi is a scholar working on Signal Processing, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 402 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Ultrasound Imaging and Elastography (8 papers) and ECG Monitoring and Analysis (7 papers). The work is most often cited by research in Signal Processing (66 citations), Human-Computer Interaction (32 citations) and Cognitive Neuroscience (113 citations). Saeid Rashidi has collaborated with scholars based in Iran, Australia and Canada. Frequent co-authors include Ali Fallah, Farzad Towhidkhah, Ali Sheikhani, Ahmad Shalbaf, Hamed Azarnoush, Rolando F. Del Maestro, Tirdad Seifi, Mahdad Esmaeili, Ahmad Keshtkar and Mahtab Mehrabbeik. Their work appears in journals such as SHILAP Revista de lepidopterología, Vision Research and BioMed Research International.
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.