Alireza Moini
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Co-authors
- Nuredin HabiliCheng‐Chew LimKushal DasD. J. ReillyA. BousquetG. C. GardnerRachpon KalraMichael J. Manfra
- Topics
- Advanced Vision and Imaging (3 papers)Video Surveillance and Tracking Methods (3 papers)Advancements in Semiconductor Devices and Circuit Design (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionAtomic and Molecular Physics, and Optics
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyNature ElectronicsIEEE Transactions on Quantum Engineering
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Alireza Moini
15 papers receiving 272 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 112
- Atomic and Molecular Physics, and Optics 103
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 69
- Human-Computer Interaction 50
Countries citing papers authored by Alireza Moini
This map shows the geographic impact of Alireza Moini'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 Alireza Moini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alireza Moini more than expected).
Fields of papers citing papers by Alireza Moini
This network shows the impact of papers produced by Alireza Moini. 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 Alireza Moini. The network helps show where Alireza Moini may publish in the future.
Co-authorship network of co-authors of Alireza Moini
This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Moini. A scholar is included among the top collaborators of Alireza Moini 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 Alireza Moini. Alireza Moini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 137 | |
| 4 | 9 | |
| 5 | 64 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 6 |
About Alireza Moini
Alireza Moini is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Computer Vision and Pattern Recognition (83 citations) and Atomic and Molecular Physics, and Optics (103 citations). Alireza Moini has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nuredin Habili, Cheng‐Chew Lim, Kushal Das, D. J. Reilly, A. Bousquet, G. C. Gardner, Rachpon Kalra, Michael J. Manfra, Sebastian Pauka and Matthew Trainer. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nature Electronics and IEEE Transactions on Quantum Engineering.
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.