Mehrdad Lakestani

92 papers and 2.4k indexed citations i.

About

Mehrdad Lakestani is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Numerical Analysis. According to data from OpenAlex, Mehrdad Lakestani has authored 92 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Modeling and Simulation, 36 papers in Statistical and Nonlinear Physics and 34 papers in Numerical Analysis. Recurrent topics in Mehrdad Lakestani’s work include Fractional Differential Equations Solutions (47 papers), Nonlinear Waves and Solitons (35 papers) and Image and Signal Denoising Methods (24 papers). Mehrdad Lakestani is often cited by papers focused on Fractional Differential Equations Solutions (47 papers), Nonlinear Waves and Solitons (35 papers) and Image and Signal Denoising Methods (24 papers). Mehrdad Lakestani collaborates with scholars based in Iran, United States and Türkiye. Mehrdad Lakestani's co-authors include Jalil Manafian, Mehdi Dehghan, Behzad Nemati Saray, Mohsen Razzaghi, Ahmet Bekir, Mohamed H. Mohamed, Bin Han, Reza Abazari, Mir Sajjad Hashemi and Onur Alp İlhan and has published in prestigious journals such as Energy, Computer Physics Communications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Mehrdad Lakestani i

Fields of papers citing papers by Mehrdad Lakestani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mehrdad Lakestani

Since Specialization
Citations

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