M. Zarebnia

46 papers and 658 indexed citations i.

About

M. Zarebnia is a scholar working on Numerical Analysis, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Zarebnia has authored 46 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Numerical Analysis, 30 papers in Modeling and Simulation and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Zarebnia’s work include Fractional Differential Equations Solutions (30 papers), Differential Equations and Numerical Methods (20 papers) and Iterative Methods for Nonlinear Equations (17 papers). M. Zarebnia is often cited by papers focused on Fractional Differential Equations Solutions (30 papers), Differential Equations and Numerical Methods (20 papers) and Iterative Methods for Nonlinear Equations (17 papers). M. Zarebnia collaborates with scholars based in Iran and Germany. M. Zarebnia's co-authors include R. Parvaz and Jalil Rashidinia and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Chaos Solitons & Fractals and Computers & Mathematics with Applications.

In The Last Decade

Co-authorship network of co-authors of M. Zarebnia i

Fields of papers citing papers by M. Zarebnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Zarebnia

Since Specialization
Citations

This map shows the geographic impact of M. Zarebnia'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 M. Zarebnia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Zarebnia 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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2025