Vida Ravanmehr
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- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
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- Advanced Graph Neural Networks 4
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- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 4
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- Error Correcting Code Techniques 4
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- Complex Network Analysis Techniques 2
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Bane VasićPeter N. RobinsonJustin ReeseMelissa HaendelLuca CappellettiChris MungallMarcin P. JoachimiakTommaso Fontana
- Journals
- Nature Communications (1 paper)Bioinformatics (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Vida Ravanmehr
13 papers receiving 165 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 3
- Genetics 58
- Artificial Intelligence 57
- Molecular Biology 110
- Computational Theory and Mathematics 21
Countries citing papers authored by Vida Ravanmehr
This map shows the geographic impact of Vida Ravanmehr'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 Ravanmehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vida Ravanmehr more than expected).
Fields of papers citing papers by Vida Ravanmehr
This network shows the impact of papers produced by Vida Ravanmehr. 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 Ravanmehr. The network helps show where Vida Ravanmehr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vida Ravanmehr, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 54 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 0 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 2 | |
| 14 | 2011 | 20 | |
| 15 | Two Classes of Optimal Stopping Redundancy Codes. | 2009 | 1 |
About Vida Ravanmehr
Vida Ravanmehr is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 15 papers that have together received 168 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Error Correcting Code Techniques (4 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Graph Neural Networks (4 papers), Genomics and Rare Diseases (2 papers), Complex Network Analysis Techniques (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Health Informatics (3 citations), Genetics (58 citations) and Artificial Intelligence (57 citations). Vida Ravanmehr has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Bane Vasić, Peter N. Robinson, Justin Reese, Melissa Haendel, Luca Cappelletti, Chris Mungall, Marcin P. Joachimiak, Tommaso Fontana, Guy Karlebach and Tiffany J. Callahan. Their work appears in journals such as Nature Communications, Bioinformatics and The American Journal of Human Genetics.
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.