Seyyed Mohammad Razavi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Molecular Biology
- Health Information Management top 5%
- Co-authors
- Seyed Hamid ZahiriMohammad GhasemiGolNasser MehrshadAurelio UnciniAmir MosaviShahaboddin ShamshirbandLászló NádaiHamid Saadatfar
- Topics
- Biometric Identification and Security (5 papers)Neural dynamics and brain function (3 papers)Neuroscience and Neural Engineering (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Environmental Research and Public Health
In The Last Decade
Seyyed Mohammad Razavi
28 papers receiving 423 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 102
- Computer Vision and Pattern Recognition 82
- Signal Processing 82
- Molecular Biology 64
- Health Information Management 62
Countries citing papers authored by Seyyed Mohammad Razavi
This map shows the geographic impact of Seyyed Mohammad Razavi'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 Seyyed Mohammad Razavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seyyed Mohammad Razavi more than expected).
Fields of papers citing papers by Seyyed Mohammad Razavi
This network shows the impact of papers produced by Seyyed Mohammad Razavi. 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 Seyyed Mohammad Razavi. The network helps show where Seyyed Mohammad Razavi may publish in the future.
Co-authorship network of co-authors of Seyyed Mohammad Razavi
This figure shows the co-authorship network connecting the top 25 collaborators of Seyyed Mohammad Razavi. A scholar is included among the top collaborators of Seyyed Mohammad Razavi 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 Seyyed Mohammad Razavi. Seyyed Mohammad Razavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 3 | |
| 3 | Design and Optimizing of a GaN HEMT Power Amplifier Based on the Inclined Planes System Optimization Algorithm for Wireless Applications | 0 |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 108 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | A Design Methodology for Reliable MRF-Based Logic Gates | 1 |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 6 |
About Seyyed Mohammad Razavi
Seyyed Mohammad Razavi is a scholar working on Anatomy, Signal Processing and Media Technology, having authored 30 papers that have together received 444 indexed citations. Recurring topics across this work include Biometric Identification and Security (5 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Health Information Management (62 citations), Signal Processing (82 citations) and Computer Vision and Pattern Recognition (82 citations). Seyyed Mohammad Razavi has collaborated with scholars based in Iran, Italy and Australia. Frequent co-authors include Seyed Hamid Zahiri, Mohammad GhasemiGol, Nasser Mehrshad, Aurelio Uncini, Amir Mosavi, Shahaboddin Shamshirband, László Nádai, Hamid Saadatfar, Javad Hassannataj Joloudari and Narjes Nabipour. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.
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.