Mohammed Al‐Fahdi
- Materials Chemistry
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials
- Computational Theory and Mathematics
- Co-authors
- Ming HuTao OuyangAlejandro RodriguezJianjun HuYong ZhaoXiaoliang ZhangZhenyao WuNihang Fu
- Topics
- Machine Learning in Materials Science (11 papers)Advanced Thermoelectric Materials and Devices (7 papers)Thermal properties of materials (6 papers)
- Cited by
- Materials ChemistryElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- United StatesChinaSpain
In The Last Decade
Mohammed Al‐Fahdi
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 42
- Materials Chemistry 270
- Electrical and Electronic Engineering 82
- Electronic, Optical and Magnetic Materials 38
- Mechanics of Materials 24
- Computational Theory and Mathematics 20
Countries citing papers authored by Mohammed Al‐Fahdi
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).
Fields of papers citing papers by Mohammed Al‐Fahdi
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.
Co-authorship network of co-authors of Mohammed Al‐Fahdi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Al‐Fahdi. A scholar is included among the top collaborators of Mohammed Al‐Fahdi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammed Al‐Fahdi. Mohammed Al‐Fahdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 68 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 14 | |
| 14 | 63 | |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 32 |
About Mohammed Al‐Fahdi
Mohammed Al‐Fahdi is a scholar working on Materials Chemistry, Ceramics and Composites and Mechanics of Materials, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Advanced Thermoelectric Materials and Devices (7 papers) and Thermal properties of materials (6 papers). The work is most often cited by research in Materials Chemistry (270 citations), Electronic, Optical and Magnetic Materials (38 citations) and Electrical and Electronic Engineering (82 citations). Mohammed Al‐Fahdi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Ming Hu, Tao Ouyang, Alejandro Rodriguez, Jianjun Hu, Yong Zhao, Xiaoliang Zhang, Zhenyao Wu, Nihang Fu, Edirisuriya M. Dilanga Siriwardane and Kunpeng Yuan. Their work appears in journals such as Journal of Applied Physics, Journal of Materials Chemistry A and Cement and Concrete Research.
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.