Mohammed Al‐Fahdi

15 papers and 294 indexed citations i.

About

Mohammed Al‐Fahdi is a scholar working on Materials Chemistry, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Mohammed Al‐Fahdi has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 2 papers in Mechanics of Materials and 2 papers in Computational Theory and Mathematics. Recurrent topics in Mohammed Al‐Fahdi’s work include Machine Learning in Materials Science (10 papers), Advanced Thermoelectric Materials and Devices (7 papers) and Thermal properties of materials (5 papers). Mohammed Al‐Fahdi is often cited by papers focused on Machine Learning in Materials Science (10 papers), Advanced Thermoelectric Materials and Devices (7 papers) and Thermal properties of materials (5 papers). Mohammed Al‐Fahdi collaborates with scholars based in United States, China and Germany. Mohammed Al‐Fahdi's co-authors include Ming Hu, Tao Ouyang, Jianjun Hu, Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Alireza Nasiri, Yuqi Song, Xiaoliang Zhang, Nihang Fu and Zhenyao Wu and has published in prestigious journals such as Journal of Applied Physics, Journal of Materials Chemistry A and Cement and Concrete Research.

In The Last Decade

Co-authorship network of co-authors of Mohammed Al‐Fahdi i

Fields of papers citing papers by Mohammed Al‐Fahdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Al‐Fahdi. 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 Mohammed Al‐Fahdi. The network helps show where Mohammed Al‐Fahdi may publish in the future.

Countries citing papers authored by Mohammed Al‐Fahdi

Since Specialization
Citations

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