Takasar Hussain

482 total citations
38 papers, 391 citations indexed

About

Takasar Hussain is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Takasar Hussain has authored 38 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 15 papers in Modeling and Simulation and 10 papers in Genetics. Recurrent topics in Takasar Hussain's work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), COVID-19 epidemiological studies (12 papers) and Evolution and Genetic Dynamics (10 papers). Takasar Hussain is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), COVID-19 epidemiological studies (12 papers) and Evolution and Genetic Dynamics (10 papers). Takasar Hussain collaborates with scholars based in Pakistan, Saudi Arabia and Mexico. Takasar Hussain's co-authors include Muhammad Ozair, Aziz Ullah Awan, J. F. Gómez‐Aguilar, Adnan Aslam, Qamar Din, Maria Samreen, Kashif Ali Abro, Muhammad Salman Khan, Faiz Ahmad and Xiangyun Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Takasar Hussain

37 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takasar Hussain Pakistan 12 185 179 72 72 51 38 391
Muhammad Ozair Pakistan 13 234 1.3× 202 1.1× 102 1.4× 83 1.2× 56 1.1× 35 428
Zhipeng Qiu China 12 320 1.7× 198 1.1× 192 2.7× 38 0.5× 45 0.9× 39 486
Juan Liu China 14 289 1.6× 75 0.4× 79 1.1× 27 0.4× 43 0.8× 66 562
Purnachandra Rao Koya Ethiopia 11 147 0.8× 124 0.7× 59 0.8× 22 0.3× 31 0.6× 59 394
Changguo Li China 14 404 2.2× 196 1.1× 227 3.2× 31 0.4× 21 0.4× 51 582
Juhua Liang China 14 399 2.2× 238 1.3× 193 2.7× 156 2.2× 95 1.9× 25 792
Paul J. Hurtado United States 9 195 1.1× 76 0.4× 87 1.2× 30 0.4× 125 2.5× 14 350
Bedr’Eddine Aïnseba France 14 406 2.2× 303 1.7× 178 2.5× 22 0.3× 14 0.3× 55 680
Fernando Córdova‐Lepe Chile 10 112 0.6× 104 0.6× 58 0.8× 18 0.3× 42 0.8× 57 304
T. de-Camino-Beck Canada 6 235 1.3× 126 0.7× 100 1.4× 20 0.3× 113 2.2× 6 330

Countries citing papers authored by Takasar Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Takasar Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takasar Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Takasar Hussain. A scholar is included among the top collaborators of Takasar Hussain 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 Takasar Hussain. Takasar Hussain 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.
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
2.
Hussain, Takasar, et al.. (2024). Mathematical analysis of Lassa fever epidemic with real data. Alexandria Engineering Journal. 112. 672–687. 2 indexed citations
3.
Boulaaras, Salah, et al.. (2024). Study of fractional order rabies transmission model via Atangana–Baleanu derivative. Scientific Reports. 14(1). 25875–25875. 4 indexed citations
4.
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
5.
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
6.
Hussain, Takasar, et al.. (2022). Mathematical study of nematode transmission in pine trees through bark beetles. Chaos Solitons & Fractals. 161. 112297–112297.
7.
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
8.
Hussain, Takasar, et al.. (2021). Role of pine wilt disease based on optimal control strategy at multiple scales: A case study of Korea. Journal of Biosciences. 46(4). 8 indexed citations
9.
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
10.
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
11.
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
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.
Awan, Aziz Ullah, et al.. (2021). Dynamical aspects of smoking model with cravings to smoke. Nonlinear Engineering. 10(1). 91–108. 9 indexed citations
14.
Hussain, Takasar, et al.. (2020). A Mathematical and Statistical Estimation of Potential Transmission and Severity of COVID‐19: A Combined Study of Romania and Pakistan. BioMed Research International. 2020(1). 5607236–5607236. 14 indexed citations
15.
16.
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
17.
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
18.
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
19.
Din, Qamar, Muhammad Ozair, Takasar Hussain, & Umer Saeed. (2016). Qualitative behavior of a smoking model. Advances in Difference Equations. 2016(1). 25 indexed citations
20.
Hussain, Takasar & Faiz Ahmad. (2013). Existence of zero-group velocity modes in an incompressible plate. SHILAP Revista de lepidopterología. 66(1). 55–65. 1 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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