Ghaus ur Rahman

67 papers and 777 indexed citations i.

About

Ghaus ur Rahman is a scholar working on Modeling and Simulation, Applied Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ghaus ur Rahman has authored 67 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Modeling and Simulation, 42 papers in Applied Mathematics and 25 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ghaus ur Rahman’s work include Fractional Differential Equations Solutions (50 papers), Nonlinear Differential Equations Analysis (42 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (25 papers). Ghaus ur Rahman is often cited by papers focused on Fractional Differential Equations Solutions (50 papers), Nonlinear Differential Equations Analysis (42 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (25 papers). Ghaus ur Rahman collaborates with scholars based in Pakistan, United States and Saudi Arabia. Ghaus ur Rahman's co-authors include Kamal Shah, Fazal Haq, Ravi P. Agarwal, Israr Ahmad and Donal O’Regan and has published in prestigious journals such as Journal of the Franklin Institute, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Fields of papers citing papers by Ghaus ur Rahman

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Ghaus ur Rahman. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ghaus ur Rahman may publish in the future.

Countries citing papers authored by Ghaus ur Rahman

Since Specialization
Citations

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

Rankless by CCL
2025