Vida Abedi
- Health Informatics top 0.5%
- Health Information Management top 0.5%
- Modeling and Simulation top 2%
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery 20
- Epidemiology top 5%
- Acute Ischemic Stroke Management 50
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- Cerebrovascular and Carotid Artery Diseases 15
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- Helicobacter pylori-related gastroenterology studies 11
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- Long-Term Effects of COVID-19 10
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- Atrial Fibrillation Management and Outcomes 7
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- Machine Learning in Healthcare 7
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- Bioinformatics and Genomic Networks 7
- Co-authors
- Ramin ZandJiang LiDurgesh ChaudharyShima ShahjoueiVenkatesh AvulaYanfei ZhangNariman Noorbakhsh-SabetAyesha Khan
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Vida Abedi
102 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Health Informatics 193
- Health Information Management 185
- Modeling and Simulation 154
- Rehabilitation 151
- Epidemiology 617
Countries citing papers authored by Vida Abedi
This map shows the geographic impact of Vida Abedi'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 Vida Abedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vida Abedi more than expected).
Fields of papers citing papers by Vida Abedi
This network shows the impact of papers produced by Vida Abedi. 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 Vida Abedi. The network helps show where Vida Abedi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vida Abedi, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 43 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 59 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 328 | |
| 20 | 2016 | 18 |
About Vida Abedi
Vida Abedi is a scholar working on Rehabilitation, Health Informatics, Epidemiology, Neurology and Internal Medicine, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (50 papers), Stroke Rehabilitation and Recovery (20 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Helicobacter pylori-related gastroenterology studies (11 papers), Long-Term Effects of COVID-19 (10 papers), Atrial Fibrillation Management and Outcomes (7 papers), Machine Learning in Healthcare (7 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Health Informatics (193 citations), Health Information Management (185 citations), Modeling and Simulation (154 citations), Rehabilitation (151 citations) and Epidemiology (617 citations). Vida Abedi has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Ramin Zand, Jiang Li, Durgesh Chaudhary, Shima Shahjouei, Venkatesh Avula, Yanfei Zhang, Nariman Noorbakhsh-Sabet, Ayesha Khan, Oluwaseyi Olulana and Raquel Hontecillas. Their work appears in journals such as Journal of Clinical Medicine, Stroke, PLoS ONE, Journal of Stroke and Cerebrovascular Diseases and Frontiers in Neurology.
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.