Mohammad A. Safi
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 0.5%
- Genetics top 10%
- Infectious Diseases
- Epidemiology
- Co-authors
- Abba B. GumelS. GarbaMuhammad Altaf KhanMudassar ImranDessalegn Y. MelesseElamin H. ElbashaSudipta Sekhar DasSaif Ullah
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (26 papers)COVID-19 epidemiological studies (20 papers)Evolution and Genetic Dynamics (20 papers)
- Journals
- Scientific ReportsJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- JordanCanadaSouth Africa
In The Last Decade
Mohammad A. Safi
33 papers receiving 490 citations
Peers
Comparison fields: 5 of 64
- Public Health, Environmental and Occupational Health 381
- Modeling and Simulation 378
- Genetics 183
- Infectious Diseases 99
- Epidemiology 67
Countries citing papers authored by Mohammad A. Safi
This map shows the geographic impact of Mohammad A. Safi'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 A. Safi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Safi more than expected).
Fields of papers citing papers by Mohammad A. Safi
This network shows the impact of papers produced by Mohammad A. Safi. 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 A. Safi. The network helps show where Mohammad A. Safi may publish in the future.
Co-authorship network of co-authors of Mohammad A. Safi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Safi. A scholar is included among the top collaborators of Mohammad A. Safi 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 A. Safi. Mohammad A. Safi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | A delayed SEIR epidemic model with pulse vaccination and treatment | 4 |
| 9 | 2 | |
| 10 | 34 | |
| 11 | Optimal strategies for controlling the MERS coronavirus during a mass gathering | 3 |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 21 | |
| 15 | 23 | |
| 16 | 27 | |
| 17 | 5 | |
| 18 | 45 | |
| 19 | 55 | |
| 20 | 28 |
About Mohammad A. Safi
Mohammad A. Safi is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 33 papers that have together received 513 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), COVID-19 epidemiological studies (20 papers) and Evolution and Genetic Dynamics (20 papers). The work is most often cited by research in Modeling and Simulation (378 citations), Public Health, Environmental and Occupational Health (381 citations) and Genetics (183 citations). Mohammad A. Safi has collaborated with scholars based in Jordan, Canada and South Africa. Frequent co-authors include Abba B. Gumel, S. Garba, Muhammad Altaf Khan, Mudassar Imran, Dessalegn Y. Melesse, Elamin H. Elbasha, Sudipta Sekhar Das, Saif Ullah, Hussam Alrabaiah and Ayman A. Aly. Their work appears in journals such as Scientific Reports, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.