Muhammad Ozair

527 total citations
35 papers, 428 citations indexed

About

Muhammad Ozair is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Muhammad Ozair has authored 35 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 14 papers in Modeling and Simulation and 13 papers in Genetics. Recurrent topics in Muhammad Ozair's work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (13 papers) and COVID-19 epidemiological studies (12 papers). Muhammad Ozair is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (13 papers) and COVID-19 epidemiological studies (12 papers). Muhammad Ozair collaborates with scholars based in Pakistan, Saudi Arabia and Mexico. Muhammad Ozair's co-authors include Takasar Hussain, Aziz Ullah Awan, J. F. Gómez‐Aguilar, Kazeem O. Okosun, Adnan Aslam, Il Hyo Jung, Abid Ali Lashari, Qamar Din, Maria Samreen and Muhammad Salman Khan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Chaos Solitons & Fractals.

In The Last Decade

Muhammad Ozair

34 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Ozair Pakistan	13	234	202	102	83	57	35	428
Takasar Hussain Pakistan	12	185 0.8×	179 0.9×	72 0.7×	72 0.9×	46 0.8×	38	391
Zhipeng Qiu China	12	320 1.4×	198 1.0×	192 1.9×	38 0.5×	24 0.4×	39	486
Juhua Liang China	14	399 1.7×	238 1.2×	193 1.9×	156 1.9×	35 0.6×	25	792
Changguo Li China	14	404 1.7×	196 1.0×	227 2.2×	31 0.4×	33 0.6×	51	582
Juan Liu China	14	289 1.2×	75 0.4×	79 0.8×	27 0.3×	17 0.3×	66	562
Rongsong Liu United States	14	527 2.3×	349 1.7×	301 3.0×	67 0.8×	148 2.6×	46	824
Abid Ali Lashari Pakistan	14	438 1.9×	329 1.6×	240 2.4×	24 0.3×	26 0.5×	24	574
Cláudia Pio Ferreira Brazil	15	406 1.7×	287 1.4×	129 1.3×	89 1.1×	86 1.5×	73	834
Purnachandra Rao Koya Ethiopia	11	147 0.6×	124 0.6×	59 0.6×	22 0.3×	20 0.4×	59	394

Countries citing papers authored by Muhammad Ozair

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ozair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ozair

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

All Works

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20 of 20 papers shown

Hussain, Takasar, et al.. (2025). Mathematical study of infectious disease of pines caused by bark beetles. Modeling Earth Systems and Environment. 11(2). 1 indexed citations

Hussain, Takasar, et al.. (2024). Mathematical analysis of Lassa fever epidemic with real data. Alexandria Engineering Journal. 112. 672–687. 2 indexed citations

Gepreel, Khaled A., et al.. (2024). Deciphering the enigma of Lassa virus transmission dynamics and strategies for effective epidemic control through awareness campaigns and rodenticides. Scientific Reports. 14(1). 18079–18079. 8 indexed citations

Shah, Kamal, Wenqi Liu, Aeshah A. Raezah, et al.. (2023). Unraveling pine wilt disease: Comparative study of stochastic and deterministic model using spectral method. Expert Systems with Applications. 240. 122407–122407. 12 indexed citations

Hussain, Takasar, Aziz Ullah Awan, Kashif Ali Abro, et al.. (2022). A passive verses active exposure of mathematical smoking model: A role for optimal and dynamical control. Nonlinear Engineering. 11(1). 507–521. 6 indexed citations

Khan, Muhammad Salman, Maria Samreen, Muhammad Ozair, et al.. (2022). On the qualitative study of a two-trophic plant–herbivore model. Journal of Mathematical Biology. 85(4). 34–34. 11 indexed citations

Hussain, Takasar, et al.. (2022). Mathematical study of nematode transmission in pine trees through bark beetles. Chaos Solitons & Fractals. 161. 112297–112297.

Hussain, Takasar, et al.. (2021). A mathematical and parametric study of epidemiological smoking model: a deterministic stability and optimality for solutions. The European Physical Journal Plus. 136(1). 17 indexed citations

Awan, Aziz Ullah, et al.. (2021). Dynamical aspects of smoking model with cravings to smoke. Nonlinear Engineering. 10(1). 91–108. 9 indexed citations

10.

Hussain, Takasar, et al.. (2021). Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model. Results in Physics. 22. 103956–103956. 40 indexed citations

11.

Ozair, Muhammad, Qamar Din, Tzanko Donchev, & Takasar Hussain. (2021). Stability, control and discretization for a smoking model. Journal of the National Science Foundation of Sri Lanka. 49(1). 25–25. 1 indexed citations

12.

Khan, Muhammad Salman, Maria Samreen, Muhammad Ozair, Takasar Hussain, & J. F. Gómez‐Aguilar. (2021). Bifurcation analysis of a discrete-time compartmental model for hypertensive or diabetic patients exposed to COVID-19. The European Physical Journal Plus. 136(8). 39 indexed citations

13.

Ozair, Muhammad, Takasar Hussain, Aziz Ullah Awan, et al.. (2020). Bio-inspired Analytical Heuristics to Study Pine Wilt Disease Model. Scientific Reports. 10(1). 3534–3534. 8 indexed citations

14.

Ozair, Muhammad, et al.. (2020). Charged particle dynamics in the surrounding of Schwarzschild anti-de Sitter black hole with topological defect immersed in an external magnetic field. The European Physical Journal C. 80(8). 14 indexed citations

15.

Ozair, Muhammad, et al.. (2020). Dynamical features of pine wilt disease model with asymptotic carrier. The European Physical Journal Plus. 135(4). 16 indexed citations

16.

Farid, Ghulam, et al.. (2019). On applications of Caputo k-fractional derivatives. Advances in Difference Equations. 2019(1). 13 indexed citations

17.

Awan, Aziz Ullah, Muhammad Ozair, Qamar Din, & Takasar Hussain. (2016). Stability analysis of pine wilt disease model by periodic use of insecticides. Journal of Biological Dynamics. 10(1). 506–524. 21 indexed citations

18.

Din, Qamar, Muhammad Ozair, Takasar Hussain, & Umer Saeed. (2016). Qualitative behavior of a smoking model. Advances in Difference Equations. 2016(1). 25 indexed citations

19.

Ozair, Muhammad, et al.. (2013). Stability Analysis of a Vector-Borne Disease with Variable Human Population. Abstract and Applied Analysis. 2013. 1–12. 7 indexed citations

20.

Ozair, Muhammad, Abid Ali Lashari, Il Hyo Jung, & Kazeem O. Okosun. (2012). Stability Analysis and Optimal Control of a Vector‐Borne Disease with Nonlinear Incidence. Discrete Dynamics in Nature and Society. 2012(1). 41 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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