Mohammad Javanbakht
- Infectious Diseases top 10%
- Epidemiology
- Modeling and Simulation top 5%
- Global and Planetary Change
- Public Health, Environmental and Occupational Health
- Co-authors
- Luca CegolonSara AttarchiMeysam MoharramiGiuseppe MastrangeloShi ZhaoBehzad EinollahiAbedin SaghafipourMohammad Reza Shirzadi
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (9 papers)COVID-19 epidemiological studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalFrontiers in Immunology
In The Last Decade
Mohammad Javanbakht
46 papers receiving 411 citations
Peers
Comparison fields: 5 of 114
- Infectious Diseases 135
- Epidemiology 68
- Modeling and Simulation 67
- Global and Planetary Change 60
- Public Health, Environmental and Occupational Health 50
Countries citing papers authored by Mohammad Javanbakht
This map shows the geographic impact of Mohammad Javanbakht'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 Mohammad Javanbakht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Javanbakht more than expected).
Fields of papers citing papers by Mohammad Javanbakht
This network shows the impact of papers produced by Mohammad Javanbakht. 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 Mohammad Javanbakht. The network helps show where Mohammad Javanbakht may publish in the future.
Co-authorship network of co-authors of Mohammad Javanbakht
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Javanbakht. A scholar is included among the top collaborators of Mohammad Javanbakht 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 Mohammad Javanbakht. Mohammad Javanbakht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 49 | |
| 12 | 49 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 36 | |
| 19 | 0 | |
| 20 | Geographic distribution and incidence of skin cancer using the Geographically Weighted Regression model | 1 |
About Mohammad Javanbakht
Mohammad Javanbakht is a scholar working on Modeling and Simulation, Infectious Diseases and General Dentistry, having authored 54 papers that have together received 423 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (135 citations) and General Dentistry (6 citations). Mohammad Javanbakht has collaborated with scholars based in Iran, Italy and Hong Kong. Frequent co-authors include Luca Cegolon, Sara Attarchi, Meysam Moharrami, Giuseppe Mastrangelo, Shi Zhao, Behzad Einollahi, Abedin Saghafipour, Mohammad Reza Shirzadi, Ramezan Jafari and Saeid Fathi. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and Frontiers in Immunology.
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.