Ali Raza

2.0k total citations
153 papers, 1.5k citations indexed

About

Ali Raza is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Ali Raza has authored 153 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Public Health, Environmental and Occupational Health, 86 papers in Modeling and Simulation and 27 papers in Genetics. Recurrent topics in Ali Raza's work include Mathematical and Theoretical Epidemiology and Ecology Models (85 papers), COVID-19 epidemiological studies (60 papers) and Fractional Differential Equations Solutions (43 papers). Ali Raza is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (85 papers), COVID-19 epidemiological studies (60 papers) and Fractional Differential Equations Solutions (43 papers). Ali Raza collaborates with scholars based in Pakistan, Saudi Arabia and Türkiye. Ali Raza's co-authors include Muhammad Rafiq, Nauman Ahmed, Muhammad Shoaib Arif, Ali Akgül, Mairaj Bibi, Dumitru Bǎleanu, Muhammad Sajid Iqbal, Zafar Iqbal, Muhammad Waqas Yasin and Muhammad Naveed and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ali Raza

137 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Raza Pakistan 23 969 828 231 208 184 153 1.5k
Parvaiz Ahmad Naik China 27 1.3k 1.3× 1.1k 1.3× 180 0.8× 284 1.4× 130 0.7× 66 2.1k
Jian Zu China 26 1.1k 1.2× 1.1k 1.3× 125 0.5× 426 2.0× 210 1.1× 81 2.3k
Nauman Ahmed Pakistan 26 1.2k 1.2× 831 1.0× 649 2.8× 217 1.0× 129 0.7× 234 2.2k
Il Hyo Jung South Korea 17 581 0.6× 604 0.7× 134 0.6× 263 1.3× 159 0.9× 98 1.3k
Konstantin B. Blyuss United Kingdom 22 528 0.5× 639 0.8× 284 1.2× 289 1.4× 171 0.9× 66 1.4k
Gergely Röst Hungary 22 820 0.8× 645 0.8× 150 0.6× 258 1.2× 343 1.9× 97 1.5k
Anwarud Din China 26 1.5k 1.5× 1.2k 1.4× 165 0.7× 201 1.0× 292 1.6× 105 2.0k
Gennady Bocharov Russia 30 701 0.7× 790 1.0× 119 0.5× 460 2.2× 417 2.3× 155 2.9k
Karam Allali Morocco 18 559 0.6× 508 0.6× 68 0.3× 153 0.7× 94 0.5× 95 1.2k
Murray E. Alexander Canada 20 838 0.9× 736 0.9× 161 0.7× 394 1.9× 193 1.0× 50 1.6k

Countries citing papers authored by Ali Raza

Since Specialization
Citations

This map shows the geographic impact of Ali Raza'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 Ali Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Raza more than expected).

Fields of papers citing papers by Ali Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Raza. 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 Ali Raza. The network helps show where Ali Raza may publish in the future.

Co-authorship network of co-authors of Ali Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Raza. A scholar is included among the top collaborators of Ali Raza 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 Ali Raza. Ali Raza 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
1.
Rafiq, Muhammad, Zafar Iqbal, Nauman Ahmed, et al.. (2025). Stochastic fractional order model for the computational analysis of computer virus. Scientific Reports. 15(1). 33951–33951.
2.
Galal, Ahmed M., Ali Raza, Aurang Zaib, et al.. (2025). Investigation of double-diffusive mixed convective flow of water-based Brinkman-type hybrid nanofluid utilizing a fractal fractional approach. Alexandria Engineering Journal. 125. 90–103.
3.
Raza, Ali, et al.. (2024). Stochastic delayed analysis of coronavirus model through efficient computational method. Scientific Reports. 14(1). 21170–21170. 1 indexed citations
4.
Raza, Ali, et al.. (2024). Computer modeling: A gateway to novel advancements in solving real-life problems. Biomedical Signal Processing and Control. 95. 106414–106414. 1 indexed citations
5.
Alfwzan, Wafa F., Ali Raza, Nauman Ahmed, et al.. (2024). Nonstandard Computational and Bifurcation Analysis of the Rabies Epidemic Model. Journal of Mathematics. 2024(1). 1 indexed citations
6.
Raza, Ali, et al.. (2023). Artificial intelligence computing analysis of fractional order COVID-19 epidemic model. AIP Advances. 13(8). 6 indexed citations
7.
Hussain, Athar, et al.. (2023). Overview of Rift Valley Fever. International Journal of Agriculture and Biosciences. 89–100.
8.
Alfwzan, Wafa F., Dumitru Bǎleanu, Ali Raza, Muhammad Rafiq, & Nauman Ahmed. (2023). Dynamical analysis of a class of SEIR models through delayed strategies. AIP Advances. 13(7). 4 indexed citations
9.
Ahmed, Nauman, et al.. (2023). A novel method for the dynamics of worms in wireless sensor networks with fuzzy partition. AIP Advances. 13(10). 1 indexed citations
10.
Iqbal, Zafar, et al.. (2022). Analytical and Numerical Boundedness of a Model with Memory Effects for the Spreading of Infectious Diseases. Symmetry. 14(12). 2540–2540. 4 indexed citations
11.
Ahmed, Nauman, et al.. (2022). A dynamically consistent computational method to solve numerically a mathematical model of polio propagation with spatial diffusion. Computer Methods and Programs in Biomedicine. 218. 106709–106709. 3 indexed citations
12.
Rafiq, Muhammad, et al.. (2022). A dynamical study of a fuzzy epidemic model of Mosquito-Borne Disease. Computers in Biology and Medicine. 148. 105673–105673. 4 indexed citations
13.
Raza, Ali, Jan Awrejcewicz, Muhammad Rafiq, et al.. (2022). Stochastic Modelling of Lassa Fever Epidemic Disease. Mathematics. 10(16). 2919–2919. 13 indexed citations
14.
Raza, Ali, et al.. (2022). Stochastic Analysis for the Dynamics of a Poliovirus Epidemic Model. Computer Modeling in Engineering & Sciences. 136(1). 257–275. 4 indexed citations
15.
Bǎleanu, Dumitru, et al.. (2022). Optimization of Coronavirus Pandemic Model Through Artificial Intelligence. Computers, materials & continua/Computers, materials & continua (Print). 74(3). 6807–6822. 1 indexed citations
16.
Ahmed, Nauman, Muhammad Rafiq, Ali Akgül, et al.. (2022). Construction and numerical analysis of a fuzzy non-standard computational method for the solution of an SEIQR model of COVID-19 dynamics. AIMS Mathematics. 7(5). 8449–8470. 15 indexed citations
17.
Raza, Ali, et al.. (2021). Breakdown of a Nonlinear Stochastic Nipah Virus Epidemic Models through Efficient Numerical Methods. Entropy. 23(12). 1588–1588. 19 indexed citations
18.
Akgül, Ali, Muhammad Sajid Iqbal, Nauman Ahmed, et al.. (2021). Optimal existence of fractional order computer virus epidemic model and numerical simulations. Mathematical Methods in the Applied Sciences. 44(13). 10673–10685. 17 indexed citations
19.
Bǎleanu, Dumitru, et al.. (2021). Numerical Study of Computer Virus Reaction Diffusion Epidemic Model. Computers, materials & continua/Computers, materials & continua (Print). 66(3). 3183–3194. 11 indexed citations
20.
Shatanawi, Wasfı, et al.. (2020). Essential Features Preserving Dynamics of Stochastic Dengue Model. Computer Modeling in Engineering & Sciences. 126(1). 201–215. 25 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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