Laila M Assas

16 papers and 282 indexed citations i.

About

Laila M Assas is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Laila M Assas has authored 16 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Modeling and Simulation. Recurrent topics in Laila M Assas’s work include Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Fractional Differential Equations Solutions (7 papers) and Nonlinear Waves and Solitons (7 papers). Laila M Assas is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Fractional Differential Equations Solutions (7 papers) and Nonlinear Waves and Solitons (7 papers). Laila M Assas collaborates with scholars based in Saudi Arabia, United States and Portugal. Laila M Assas's co-authors include G. Livadiotis, Saber Elaydi, Eddy Kwessi, Brian Dennis, Mohammed Alghamdi, Ali H Bhrawy, David O. Ribble, Emran Tohidi, A. H. Bhrawy and J. A. Tenreiro Machado and has published in prestigious journals such as Chaos Solitons & Fractals, Journal of Computational and Applied Mathematics and Physica Scripta.

In The Last Decade

Co-authorship network of co-authors of Laila M Assas i

Fields of papers citing papers by Laila M Assas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laila M Assas. 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 Laila M Assas. The network helps show where Laila M Assas may publish in the future.

Countries citing papers authored by Laila M Assas

Since Specialization
Citations

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

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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