Behzad Vahedi
- Modeling and Simulation top 0.5%
- Economics and Econometrics top 5%
- Epidemiology
- Global and Planetary Change top 10%
- Health top 10%
- Co-authors
- Abolfazl MollaloMorteza KarimzadehLaura HopkinsSwagata BanikRafael Pires de LimaA. P. BarrettNick HughesWalter N. Meier
- Topics
- COVID-19 epidemiological studies (4 papers)Data-Driven Disease Surveillance (4 papers)Arctic and Antarctic ice dynamics (3 papers)
- Journals
- Nature CommunicationsThe Science of The Total EnvironmentInternational Journal of Environmental Research and Public Health
- Partner nations
- United StatesNorwayItaly
In The Last Decade
Behzad Vahedi
9 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 409
- Economics and Econometrics 252
- Epidemiology 177
- Global and Planetary Change 152
- Health 84
Countries citing papers authored by Behzad Vahedi
This map shows the geographic impact of Behzad Vahedi'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 Behzad Vahedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behzad Vahedi more than expected).
Fields of papers citing papers by Behzad Vahedi
This network shows the impact of papers produced by Behzad Vahedi. 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 Behzad Vahedi. The network helps show where Behzad Vahedi may publish in the future.
Co-authorship network of co-authors of Behzad Vahedi
This figure shows the co-authorship network connecting the top 25 collaborators of Behzad Vahedi. A scholar is included among the top collaborators of Behzad Vahedi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Behzad Vahedi. Behzad Vahedi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 24 | |
| 6 | GIS-based spatial modeling of COVID-19 incidence rate in the continental United Statesbreakdown → | 498 |
| 7 | 119 | |
| 8 | 22 | |
| 9 | QUANTITATIVE ASSESSMENT OF PRAGMATIC QUALITY OF VOLUNTEERED GEOGRAPHIC INFORMATION USING FUZZY LINGUISTIC QUANTIFIERS AND OWA OPERATOR | 1 |
About Behzad Vahedi
Behzad Vahedi is a scholar working on Modeling and Simulation, Environmental Chemistry and Atmospheric Science, having authored 9 papers that have together received 698 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (4 papers) and Arctic and Antarctic ice dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (409 citations), Transportation (76 citations) and Health Informatics (14 citations). Behzad Vahedi has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include Abolfazl Mollalo, Morteza Karimzadeh, Laura Hopkins, Swagata Banik, Rafael Pires de Lima, A. P. Barrett, Nick Hughes, Walter N. Meier and Farnoush Banaei‐Kashani. Their work appears in journals such as Nature Communications, The Science of The Total Environment and International Journal of Environmental Research and Public Health.
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.