Saif Ullah

3.6k total citations
104 papers, 2.9k citations indexed

About

Saif Ullah is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Saif Ullah has authored 104 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Public Health, Environmental and Occupational Health, 61 papers in Modeling and Simulation and 19 papers in Infectious Diseases. Recurrent topics in Saif Ullah's work include Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Fractional Differential Equations Solutions (44 papers) and COVID-19 epidemiological studies (40 papers). Saif Ullah is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Fractional Differential Equations Solutions (44 papers) and COVID-19 epidemiological studies (40 papers). Saif Ullah collaborates with scholars based in Pakistan, Saudi Arabia and China. Saif Ullah's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Saif Ullah

94 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saif Ullah Pakistan 30 2.1k 1.5k 426 378 249 104 2.9k
Rashid Jan Saudi Arabia 34 1.5k 0.7× 989 0.6× 196 0.5× 297 0.8× 147 0.6× 190 2.6k
Fathalla A. Rihan United Arab Emirates 35 2.0k 1.0× 1.5k 1.0× 199 0.5× 372 1.0× 499 2.0× 143 3.5k
Muhammad Farman Pakistan 27 1.8k 0.9× 1.0k 0.7× 181 0.4× 340 0.9× 113 0.5× 215 2.8k
Anwarud Din China 26 1.5k 0.7× 1.2k 0.8× 292 0.7× 249 0.7× 201 0.8× 105 2.0k
Oluwole Daniel Makinde South Africa 67 1.7k 0.8× 1.1k 0.7× 285 0.7× 198 0.5× 377 1.5× 626 19.5k
Pierre Magal France 34 2.7k 1.3× 2.8k 1.8× 550 1.3× 430 1.1× 1.5k 6.1× 126 4.3k
Ebenezer Bonyah Pakistan 39 1.3k 0.6× 915 0.6× 244 0.6× 222 0.6× 162 0.7× 228 4.2k
Gul Zaman Pakistan 31 1.4k 0.7× 1.3k 0.8× 261 0.6× 227 0.6× 749 3.0× 96 3.8k
Patrick W. Nelson United States 22 799 0.4× 1.8k 1.2× 315 0.7× 109 0.3× 986 4.0× 46 3.3k
Mimmo Iannelli Italy 29 1.2k 0.6× 1.4k 0.9× 130 0.3× 410 1.1× 558 2.2× 83 2.5k

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-authorship network of co-authors of Saif Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Saif Ullah. A scholar is included among the top collaborators of Saif Ullah 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 Saif Ullah. Saif Ullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Khan, Sami Ullah, Saif Ullah, Shuo Li, et al.. (2024). A novel simulation-based analysis of a stochastic HIV model with the time delay using high order spectral collocation technique. Scientific Reports. 14(1). 7961–7961. 12 indexed citations
5.
Bilal, Muhammad, et al.. (2024). WASTEWATER POLLUTANT DISCHARGE CONCENTRATION EFFECT ON NON-NEWTONIAN HYBRID NANOFLUID FLOW ACROSS A RIGA SHEET: NUMERICAL EXPLORATION. Journal of Porous Media. 28(1). 1–17. 6 indexed citations
6.
Li, Shuo, Samreen Samreen, Saif Ullah, et al.. (2024). Global dynamics and computational modeling approach for analyzing and controlling of alcohol addiction using a novel fractional and fractal–fractional modeling approach. Scientific Reports. 14(1). 5065–5065. 15 indexed citations
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Ullah, Saif, et al.. (2023). Modeling of Multi-Level Planning of Shifting Bottleneck Resources Integrated with Downstream Wards in a Hospital. Applied Sciences. 13(6). 3616–3616. 1 indexed citations
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Al‐Zubaidi, A., et al.. (2023). Analysis of Monkeypox viral infection with human to animal transmission via a fractional and Fractal-fractional operators with power law kernel. Mathematical Biosciences & Engineering. 20(4). 6666–6690. 34 indexed citations
10.
Samreen, Samreen, et al.. (2023). Mathematical modeling and analysis of monkeypox 2022 outbreak with the environment effects using a Cpauto fractional derivative. Physica Scripta. 98(10). 105239–105239. 5 indexed citations
11.
Xiao-ping, LI, et al.. (2022). Modeling the dynamics of coronavirus with super-spreader class: A fractal-fractional approach. Results in Physics. 34. 105179–105179. 25 indexed citations
12.
Ullah, Saif, et al.. (2022). Application of fractional optimal control theory for the mitigating of novel coronavirus in Algeria. Results in Physics. 39. 105651–105651. 16 indexed citations
13.
Zhang, Lei, Saif Ullah, Basem Al Alwan, Ahmed Alshehri, & Wojciech Sumelka. (2021). Mathematical assessment of constant and time-dependent control measures on the dynamics of the novel coronavirus: An application of optimal control theory. Results in Physics. 31. 104971–104971. 10 indexed citations
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Azmat, Muhammad, et al.. (2021). Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. Environmental Science and Pollution Research. 28(16). 19726–19741. 55 indexed citations
15.
Khan, Muhammad Altaf, Saif Ullah, & Sunil Kumar. (2021). A robust study on 2019-nCOV outbreaks through non-singular derivative. The European Physical Journal Plus. 136(2). 168–168. 140 indexed citations
16.
Li, Yongmin, Saif Ullah, Muhammad Altaf Khan, Mohammad Y. Alshahrani, & Taseer Muhammad. (2021). Modeling and analysis of the dynamics of HIV/AIDS with non-singular fractional and fractal-fractional operators. Physica Scripta. 96(11). 114008–114008. 17 indexed citations
17.
Khan, Muhammad Farooq, Hussam Alrabaiah, Saif Ullah, et al.. (2020). A new fractional model for vector-host disease with saturated treatment function via singular and non-singular operators. Alexandria Engineering Journal. 60(1). 629–645. 25 indexed citations
18.
Ikram, Muhammad, et al.. (2019). RECTAL AND VAGINAL PROLAPSE IN SHEEP: A CASE REPORT. SHILAP Revista de lepidopterología. 9(1). 171–173. 1 indexed citations
19.
Khan, Muhammad Altaf, Saif Ullah, & Muhammad Farhan. (2019). The dynamics of Zika virus with Caputo fractional derivative. AIMS Mathematics. 4(1). 134–146. 60 indexed citations
20.
Chen, Jie, Shenghao Wang, Saif Ullah, et al.. (2017). Intracellular trafficking of new anticancer therapeutics: antibody–drug conjugates. Drug Design Development and Therapy. Volume 11. 2265–2276. 112 indexed citations

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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