Vida Abedi
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
- Epidemiology 48
- Acute Ischemic Stroke Management 40
- Neurology 18
- Long-Term Effects of COVID-19 8
- Cerebrovascular and genetic disorders 6
- Co-authors
- Ramin Zand (83 shared papers)Jiang Li (42 shared papers)Durgesh Chaudhary (33 shared papers)Shima Shahjouei (28 shared papers)Yanfei Zhang (5 shared papers)Venkatesh Avula (22 shared papers)Nariman Noorbakhsh-Sabet (1 shared paper)Ayesha Khan (8 shared papers)
- Journals
- Journal of Clinical Medicine (17 papers)Stroke (12 papers)PLoS ONE (9 papers)Frontiers in Neurology (6 papers)Journal of Stroke and Cerebrovascular Diseases (6 papers)
- Partner nations
- United StatesAustriaMyanmar
In The Last Decade
Vida Abedi
107 papers receiving 2.3k citations
Vida Abedi's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 173
- Health Information Management 142
- Modeling and Simulation 121
- Epidemiology 511
- Neurology 211
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-authors
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
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Racial, Economic, and Health Inequality and COVID-19 Infection in the United States Hit paper breakdown → | 2020 | 463 |
| 2 | 2019 | 351 | |
| 3 | 2017 | 80 | |
| 4 | 2021 | 68 | |
| 5 | 2018 | 54 | |
| 6 | 2021 | 53 | |
| 7 | 2016 | 50 | |
| 8 | 2018 | 47 | |
| 9 | 2020 | 44 | |
| 10 | 2021 | 42 | |
| 11 | 2015 | 40 | |
| 12 | 2019 | 40 | |
| 13 | 2021 | 37 | |
| 14 | 2021 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2021 | 31 | |
| 17 | 2020 | 31 | |
| 18 | 2017 | 30 | |
| 19 | 2021 | 30 | |
| 20 | 2020 | 28 |
About Vida Abedi
Vida Abedi is a scholar working on Epidemiology, Neurology, Molecular Biology, Surgery and Rehabilitation, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (40 papers), Stroke Rehabilitation and Recovery (11 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Long-Term Effects of COVID-19 (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Cerebrovascular and genetic disorders (6 papers), Artificial Intelligence in Healthcare (5 papers) and Atrial Fibrillation Management and Outcomes (5 papers). The work is most often cited by research in Health Informatics (173 citations), Health Information Management (142 citations), Modeling and Simulation (121 citations), Epidemiology (511 citations) and Neurology (211 citations). Vida Abedi has collaborated with scholars based in United States, Austria and Myanmar. Frequent co-authors include Ramin Zand, Jiang Li, Durgesh Chaudhary, Shima Shahjouei, Yanfei Zhang, Venkatesh Avula, Nariman Noorbakhsh-Sabet, Ayesha Khan, Oluwaseyi Olulana and Raquel Hontecillas. Their work appears in journals such as Journal of Clinical Medicine, Stroke, PLoS ONE, Frontiers in Neurology and Journal of Stroke and Cerebrovascular Diseases.
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.