Fahd A. Mohiyaddin
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Materials Chemistry
- Condensed Matter Physics
- Co-authors
- Andrea MorelloGerhard KlimeckAndrew S. DzurakRajib RahmanG. TosiArne LauchtChih Hwan YangCharles Tahan
- Topics
- Quantum and electron transport phenomena (29 papers)Advancements in Semiconductor Devices and Circuit Design (15 papers)Quantum Computing Algorithms and Architecture (14 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- BelgiumAustraliaUnited States
In The Last Decade
Fahd A. Mohiyaddin
30 papers receiving 790 citations
Peers
Comparison fields: 5 of 34
- Atomic and Molecular Physics, and Optics 688
- Electrical and Electronic Engineering 423
- Artificial Intelligence 293
- Materials Chemistry 109
- Condensed Matter Physics 44
Countries citing papers authored by Fahd A. Mohiyaddin
This map shows the geographic impact of Fahd A. Mohiyaddin'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 Fahd A. Mohiyaddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahd A. Mohiyaddin more than expected).
Fields of papers citing papers by Fahd A. Mohiyaddin
This network shows the impact of papers produced by Fahd A. Mohiyaddin. 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 Fahd A. Mohiyaddin. The network helps show where Fahd A. Mohiyaddin may publish in the future.
Co-authorship network of co-authors of Fahd A. Mohiyaddin
This figure shows the co-authorship network connecting the top 25 collaborators of Fahd A. Mohiyaddin. A scholar is included among the top collaborators of Fahd A. Mohiyaddin 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 Fahd A. Mohiyaddin. Fahd A. Mohiyaddin 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 | 1 | |
| 3 | 21 | |
| 4 | 16 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | Multiphysics Simulation & Design of Silicon Quantum Dot Qubit Devices | 3 |
| 11 | 16 | |
| 12 | 103 | |
| 13 | 31 | |
| 14 | 62 | |
| 15 | 2 | |
| 16 | 106 | |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 25 | |
| 20 | 200 |
About Fahd A. Mohiyaddin
Fahd A. Mohiyaddin is a scholar working on Atomic and Molecular Physics, and Optics, Structural Biology and Artificial Intelligence, having authored 32 papers that have together received 799 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (29 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Quantum Computing Algorithms and Architecture (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (688 citations), Artificial Intelligence (293 citations) and Electrical and Electronic Engineering (423 citations). Fahd A. Mohiyaddin has collaborated with scholars based in Belgium, Australia and United States. Frequent co-authors include Andrea Morello, Gerhard Klimeck, Andrew S. Dzurak, Rajib Rahman, G. Tosi, Arne Laucht, Chih Hwan Yang, Charles Tahan, Alessandro Rossi and Rachpon Kalra. Their work appears in journals such as Physical Review Letters, Nature Communications and Nano Letters.
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.