Saif Ullah
Impact in
- Modeling and Simulation top 0.05%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 59
-
- Fractional Differential Equations Solutions 45
- COVID-19 epidemiological studies 40
- Co-authors
- Muhammad Altaf Khan (34 shared papers)Muhammad Farooq (18 shared papers)Saeed Islam (4 shared papers)Aatif Ali (4 shared papers)J. F. Gómez‐Aguilar (2 shared papers)Sunil Kumar (1 shared paper)Muhammad Farhan (8 shared papers)Zakia Hammouch (2 shared papers)
- Journals
- Scientific Reports (10 papers)Chaos Solitons & Fractals (6 papers)Discrete and Continuous Dynamical Systems - S (3 papers)Mathematical Biosciences & Engineering (3 papers)Advances in Difference Equations (2 papers)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Saif Ullah
99 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 138
- Modeling and Simulation 2.1k
- Public Health, Environmental and Occupational Health 1.6k
- Numerical Analysis 212
- Applied Mathematics 385
- Virology 132
Countries citing papers authored by Saif Ullah
This map shows the geographic impact of Saif Ullah'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 Saif Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saif Ullah more than expected).
Fields of papers citing papers by Saif Ullah
This network shows the impact of papers produced by Saif Ullah. 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 Saif Ullah. The network helps show where Saif Ullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Saif Ullah, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2021 | 148 | |
| 3 | 2018 | 145 | |
| 4 | 2017 | 128 | |
| 5 | 2021 | 119 | |
| 6 | 2018 | 114 | |
| 7 | 2018 | 109 | |
| 8 | 2019 | 100 | |
| 9 | 2019 | 92 | |
| 10 | 2019 | 91 | |
| 11 | 2021 | 82 | |
| 12 | 2019 | 78 | |
| 13 | 2020 | 73 | |
| 14 | 2018 | 66 | |
| 15 | 2020 | 64 | |
| 16 | 2019 | 62 | |
| 17 | 2021 | 61 | |
| 18 | 2021 | 59 | |
| 19 | 2019 | 59 | |
| 20 | 2018 | 57 |
About Saif Ullah
Saif Ullah is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Epidemiology and Genetics, having authored 107 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Fractional Differential Equations Solutions (45 papers), COVID-19 epidemiological studies (40 papers), Viral Infections and Vectors (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Plant Virus Research Studies (8 papers), Poxvirus research and outbreaks (7 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Modeling and Simulation (2.1k citations), Public Health, Environmental and Occupational Health (1.6k citations), Numerical Analysis (212 citations), Applied Mathematics (385 citations) and Virology (132 citations). Saif Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Altaf Khan, Muhammad Farooq, Saeed Islam, Aatif Ali, J. F. Gómez‐Aguilar, Sunil Kumar, Muhammad Farhan, Zakia Hammouch, Taza Gul and Ahmed Alshehri. Their work appears in journals such as Scientific Reports, Chaos Solitons & Fractals, Discrete and Continuous Dynamical Systems - S, Mathematical Biosciences & Engineering and Advances in Difference Equations.
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.