Marzieh Sadat Mousavian: h-index, Total Citations, and Citation Map
Marzieh Sadat Mousavian's h-index is 5 (5 i10-index, 115+ total citations across 5+ publications) according to Google Scholar as of May 2026. Marzieh Sadat Mousavian is affiliated with Unknown affiliation.
Marzieh Sadat Mousavian is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 115 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Marzieh Sadat Mousavian's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 5
- i10-Index
- 5
- Total Citations
- 115
- Citing Countries
- 5
As of May 2026.
Marzieh Sadat Mousavian has an h-index of 5 and 115 total citations across 5 publications, with research cited by institutions in 5 countries.
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Top Cited Works
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Depression detection from sMRI and rs-fMRI images using machine learning
202160
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed a machine learning framework for detecting depression using structural and functional MRI data, establishing a foundational approach in neuroimaging-based mental health diagnostics.
The researcher developed methods for feature selection and imbalanced data handling to improve depression detection accuracy in clinical settings.
The researcher developed a deep learning framework for depression detection using feature extraction from sMRI images, establishing a methodological approach for neuroimaging-based mental health diagnostics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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