Amin Zehtabian
- Structural Biology top 5%
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques 4
- Cell Image Analysis Techniques 4
- Media Technology top 5%
- Remote-Sensing Image Classification 8
- Advanced Image Fusion Techniques 4
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- Remote Sensing and Land Use 6
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- Image and Signal Denoising Methods 7
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- Remote Sensing in Agriculture 3
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- Blind Source Separation Techniques 3
In The Last Decade
Amin Zehtabian
20 papers receiving 332 citations
Peers
Comparison fields: 5 of 81
- Structural Biology 60
- Biophysics 117
- Media Technology 79
- Endocrine and Autonomic Systems 38
- Atmospheric Science 58
Countries citing papers authored by Amin Zehtabian
This map shows the geographic impact of Amin Zehtabian'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 Amin Zehtabian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Zehtabian more than expected).
Fields of papers citing papers by Amin Zehtabian
This network shows the impact of papers produced by Amin Zehtabian. 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 Amin Zehtabian. The network helps show where Amin Zehtabian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amin Zehtabian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 42 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 20 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 8 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 36 | |
| 17 | Optimized Singular Vector Denoising Approach for Speech Enhancement | 2011 | 4 |
| 18 | A Novel Noise Reduction Method Based on Subspace Division | 2010 | 2 |
| 19 | A Non-destructive Approach for Noise Reduction in Time Domain | 2009 | 7 |
| 20 | 2009 | 2 |
About Amin Zehtabian
Amin Zehtabian is a scholar working on Media Technology, Structural Biology, Biophysics, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 339 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Image and Signal Denoising Methods (7 papers), Remote Sensing and Land Use (6 papers), Advanced Image Fusion Techniques (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (4 papers), Remote Sensing in Agriculture (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Structural Biology (60 citations), Biophysics (117 citations), Media Technology (79 citations), Endocrine and Autonomic Systems (38 citations) and Atmospheric Science (58 citations). Amin Zehtabian has collaborated with scholars based in Iran, Germany and Italy. Frequent co-authors include Hassan Ghassemian, Helge Ewers, Hamid Hassanpour, Britta J. Eickholt, Alf Honigmann, Oliver Beutel, Riccardo Maraspini, Mengfei Gao, Marco Gribaudo and Hanspeter Herzel. Their work appears in journals such as Digital Signal Processing, Neuroscience, Nature Communications, IEEE Geoscience and Remote Sensing Letters and ACS Nano.
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.