Mohammad Javanbakht
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
-
- COVID-19 epidemiological studies 4
- Co-authors
- Luca Cegolon (21 shared papers)Meysam Moharrami (1 shared paper)Sara Attarchi (1 shared paper)Giuseppe Mastrangelo (4 shared papers)Shi Zhao (18 shared papers)A Saghafipour (4 shared papers)Behzad Einollahi (14 shared papers)Mohammad Reza Shirzadi (3 shared papers)
In The Last Decade
Mohammad Javanbakht
51 papers receiving 489 citations
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 65
- Infectious Diseases 118
- Global and Planetary Change 75
- General Dentistry 4
- Health, Toxicology and Mutagenesis 35
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-authors
The 25 scholars most cited alongside Mohammad Javanbakht, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2021 | 53 | |
| 3 | 2020 | 37 | |
| 4 | 2020 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 8 |
About Mohammad Javanbakht
Mohammad Javanbakht is a scholar working on Infectious Diseases, Modeling and Simulation, Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 500 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (4 papers), Research on Leishmaniasis Studies (4 papers), Medical and Biological Ozone Research (3 papers), Pleural and Pulmonary Diseases (3 papers), Pneumothorax, Barotrauma, Emphysema (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Infectious Diseases (118 citations), Global and Planetary Change (75 citations), General Dentistry (4 citations) and Health, Toxicology and Mutagenesis (35 citations). Mohammad Javanbakht has collaborated with scholars based in Iran, Italy and Hong Kong. Frequent co-authors include Luca Cegolon, Meysam Moharrami, Sara Attarchi, Giuseppe Mastrangelo, Shi Zhao, A Saghafipour, Behzad Einollahi, Mohammad Reza Shirzadi, Ramezan Jafari and Saeid Fathi. Their work appears in journals such as Frontiers in Immunology, BMC Infectious Diseases, Diabetology & Metabolic Syndrome, Travel Medicine and Infectious Disease and Inflammopharmacology.
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.