Saif Ullah

3.6k citations
104 papers · 2.9k · h-index 30

Impact in

Papers in

Saif Ullah

94 papers receiving 2.9k citations

Peers

Saif Ullah
Comparison fields: 5 of 137
  • Modeling and Simulation 2.1k
  • Public Health, Environmental and Occupational Health 1.5k
  • Numerical Analysis 205
  • Applied Mathematics 378
  • Virology 126
Replace Rashid Jan with:
Rashid Jan Saudi Arabia
Pierre Magal France
Muhammad Farman Pakistan
Khalid Hattaf Morocco
Xianning Liu China
Patrick W. Nelson United States
Gul Zaman Pakistan
Muhammad Altaf Khan Pakistan
Wenzhang Huang United States
Gennady Bocharov Russia
Saif Ullah relative to Rashid Jan Saudi Arabia Rashid Jan's profile →
Citations per field
00.5×20×40×60×85.5×
Rashid Jan · 1×
Citations per year

Countries citing papers authored by Saif Ullah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saif Ullah Line = papers co-authored together Saif Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020167
2 2018141
3 2021140
4 2021116
5 2017112
6 2018110
7 2018109
8 201999
9 201988
10 201985
11 202181
12 201976
13 202072
14 201863
15 201960
16 202060
17 202160
18 201959
19 201856
20 202155

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 104 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Fractional Differential Equations Solutions (44 papers), COVID-19 epidemiological studies (40 papers), Viral Infections and Vectors (10 papers), Plant Virus Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (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 (1.5k citations), Numerical Analysis (205 citations), Applied Mathematics (378 citations) and Virology (126 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, Sunil Kumar, J. F. Gómez‐Aguilar, Muhammad Farhan, Zakia Hammouch, Taza Gul and Ahmed Alshehri. Their work appears in journals such as Scientific Reports, Chaos Solitons & Fractals, Mathematical Biosciences & Engineering, Discrete and Continuous Dynamical Systems - S and Alexandria Engineering Journal.

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.

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