Nabeela Anwar

413 total citations
30 papers, 342 citations indexed

About

Nabeela Anwar is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Nabeela Anwar has authored 30 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 12 papers in Public Health, Environmental and Occupational Health and 6 papers in Artificial Intelligence. Recurrent topics in Nabeela Anwar's work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), COVID-19 epidemiological studies (10 papers) and Fractional Differential Equations Solutions (5 papers). Nabeela Anwar is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), COVID-19 epidemiological studies (10 papers) and Fractional Differential Equations Solutions (5 papers). Nabeela Anwar collaborates with scholars based in Pakistan, Taiwan and Malaysia. Nabeela Anwar's co-authors include Muhammad Asif Zahoor Raja, Adiqa Kausar Kiani, Iftikhar Ahmad, Muhammad Shoaib, Shafaq Naz, Iftikhar Ahmad, Hira Ilyas, Fayyaz Ahmad, Muhammad Shoaib and Siraj-ul-Islam Ahmad and has published in prestigious journals such as Neural Computing and Applications, Engineering Applications of Artificial Intelligence and Computers in Biology and Medicine.

In The Last Decade

Nabeela Anwar

26 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nabeela Anwar Pakistan 11 109 74 72 53 52 30 342
Iftikhar Ahmad Pakistan 12 129 1.2× 72 1.0× 133 1.8× 70 1.3× 45 0.9× 33 418
Mairaj Bibi Pakistan 14 161 1.5× 27 0.4× 63 0.9× 33 0.6× 165 3.2× 25 381
Salem Ben Saïd United Arab Emirates 13 66 0.6× 35 0.5× 44 0.6× 57 1.1× 29 0.6× 60 506
Shafaq Naz Pakistan 12 87 0.8× 85 1.1× 185 2.6× 34 0.6× 48 0.9× 29 522
Wei Ding China 14 64 0.6× 35 0.5× 54 0.8× 33 0.6× 7 0.1× 60 701
Homan Emadifar Iran 12 169 1.6× 37 0.5× 34 0.5× 235 4.4× 24 0.5× 100 491
Eman Salem Alaidarous Saudi Arabia 12 165 1.5× 82 1.1× 130 1.8× 73 1.4× 23 0.4× 32 545
Leila Torkzadeh Iran 10 172 1.6× 11 0.1× 24 0.3× 55 1.0× 42 0.8× 37 319
A. El Jai France 16 119 1.1× 14 0.2× 25 0.3× 46 0.9× 66 1.3× 51 830

Countries citing papers authored by Nabeela Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Nabeela Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabeela Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Nabeela Anwar. A scholar is included among the top collaborators of Nabeela Anwar 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 Nabeela Anwar. Nabeela Anwar 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.
Anwar, Nabeela, et al.. (2025). Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation. Engineering Applications of Artificial Intelligence. 146. 110234–110234. 3 indexed citations
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Chang, Chuan‐Yu, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, et al.. (2025). Intelligent exogenous networks with Bayesian distributed backpropagation for nonlinear single delay brain electrical activity rhythms in Parkinson's disease system. Engineering Applications of Artificial Intelligence. 145. 110281–110281. 1 indexed citations
4.
Anwar, Nabeela, et al.. (2025). Machine learning solutions with supervised adaptive neural networks for countermeasure competing strategy of computer virus models. Simulation Modelling Practice and Theory. 142. 103141–103141. 2 indexed citations
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Anwar, Nabeela, et al.. (2025). Numerical treatment of stochastic Runge-Kutta Solver Brownian probabilistic hepatitis B virus infection model. Biomedical Signal Processing and Control. 110. 108177–108177.
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Anwar, Nabeela, et al.. (2024). Stochastic Runge–Kutta for numerical treatment of dengue epidemic model with Brownian uncertainty. Modern Physics Letters B. 39(3). 10 indexed citations
10.
Anwar, Nabeela, et al.. (2024). Numerical treatment of stochastic and deterministic alcohol drinker dynamics with Euler–Maruyama method. Modern Physics Letters B. 38(35). 6 indexed citations
11.
Anwar, Nabeela, et al.. (2024). Stochastic supervised neuro-architecture design for analyzing vector-borne plant virus epidemics with latency and incubation effects. The European Physical Journal Plus. 139(12). 1 indexed citations
12.
Anwar, Nabeela, Iftikhar Ahmad, Adiqa Kausar Kiani, Muhammad Shoaib, & Muhammad Asif Zahoor Raja. (2023). Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact. Mathematics and Computers in Simulation. 219. 251–283. 24 indexed citations
13.
Anwar, Nabeela, et al.. (2023). Novel intelligent Bayesian computing networks for predictive solutions of nonlinear multi-delayed tumor oncolytic virotherapy systems. International Journal of Biomathematics. 17(7). 14 indexed citations
14.
Anwar, Nabeela, Iftikhar Ahmad, Adiqa Kausar Kiani, Muhammad Shoaib, & Muhammad Asif Zahoor Raja. (2023). Euler-Maruyama and Kloeden-Platen-Schurz computing paradigm for stochastic vector-borne plant epidemic model. Waves in Random and Complex Media. 36(1). 196–218. 6 indexed citations
15.
Anwar, Nabeela, et al.. (2023). Numerical treatment for mathematical model of farming awareness in crop pest management. Frontiers in Applied Mathematics and Statistics. 9. 4 indexed citations
16.
Anwar, Nabeela, et al.. (2023). Design of intelligent Bayesian supervised predictive networks for nonlinear delay differential systems of avian influenza model. The European Physical Journal Plus. 138(10). 17 indexed citations
17.
Anwar, Nabeela, Iftikhar Ahmad, Adiqa Kausar Kiani, Muhammad Shoaib, & Muhammad Asif Zahoor Raja. (2023). Intelligent solution predictive networks for non-linear tumor-immune delayed model. Computer Methods in Biomechanics & Biomedical Engineering. 27(9). 1091–1118. 25 indexed citations
18.
Anwar, Nabeela, Iftikhar Ahmad, Adiqa Kausar Kiani, et al.. (2022). Intelligent predictive stochastic computing for nonlinear differential delay computer virus model. Waves in Random and Complex Media. 36(1). 521–549. 10 indexed citations
19.
Anwar, Nabeela, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, et al.. (2022). Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. The European Physical Journal Plus. 137(1). 144–144. 35 indexed citations
20.
Anwar, Nabeela, Shafaq Naz, & Muhammad Shoaib. (2022). Reliable numerical treatment with Adams and BDF methods for plant virus propagation model by vector with impact of time lag and density. Frontiers in Applied Mathematics and Statistics. 8. 5 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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