Ayman Kachmar

50 papers and 359 indexed citations i.

About

Ayman Kachmar is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Condensed Matter Physics. According to data from OpenAlex, Ayman Kachmar has authored 50 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Mathematical Physics, 34 papers in Computational Theory and Mathematics and 14 papers in Condensed Matter Physics. Recurrent topics in Ayman Kachmar’s work include Spectral Theory in Mathematical Physics (42 papers), Advanced Mathematical Modeling in Engineering (33 papers) and Inverse Problems in Mathematical Physics and Imaging (23 papers). Ayman Kachmar is often cited by papers focused on Spectral Theory in Mathematical Physics (42 papers), Advanced Mathematical Modeling in Engineering (33 papers) and Inverse Problems in Mathematical Physics and Imaging (23 papers). Ayman Kachmar collaborates with scholars based in Lebanon, France and China. Ayman Kachmar's co-authors include Bernard Helffer, Søren Fournais, Nicolas Raymond, Xing‐Bin Pan, Mikael Persson, Vladimir Lotoreichik and Hassen Aydi and has published in prestigious journals such as Communications in Mathematical Physics, Transactions of the American Mathematical Society and Archive for Rational Mechanics and Analysis.

In The Last Decade

Co-authorship network of co-authors of Ayman Kachmar i

Fields of papers citing papers by Ayman Kachmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ayman Kachmar

Since Specialization
Citations

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