Hossein Aghababa
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- Mohammadreza KolahdouzMonireh HoushmandBehjat ForouzandehHenry H. RadamsonYuanyuan WuBuqing XuAli Afzali‐KushaBehzad Ebrahimi
- Topics
- Quantum Computing Algorithms and Architecture (19 papers)Quantum Information and Cryptography (18 papers)Advancements in Semiconductor Devices and Circuit Design (15 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsElectrical and Electronic Engineering
- Partner nations
- IranUnited StatesSweden
In The Last Decade
Hossein Aghababa
52 papers receiving 534 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 330
- Atomic and Molecular Physics, and Optics 302
- Electrical and Electronic Engineering 169
- Materials Chemistry 69
- Biomedical Engineering 55
Countries citing papers authored by Hossein Aghababa
This map shows the geographic impact of Hossein Aghababa'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 Hossein Aghababa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossein Aghababa more than expected).
Fields of papers citing papers by Hossein Aghababa
This network shows the impact of papers produced by Hossein Aghababa. 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 Hossein Aghababa. The network helps show where Hossein Aghababa may publish in the future.
Co-authorship network of co-authors of Hossein Aghababa
This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Aghababa. A scholar is included among the top collaborators of Hossein Aghababa 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 Hossein Aghababa. Hossein Aghababa 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 | 3 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 37 | |
| 8 | 4 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 35 | |
| 12 | 65 | |
| 13 | Analytical Modeling of Parametric Yield Considering Variations in Leakage Power and Performance of Nano-Scaled Integrated Circuits | 2 |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 25 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 4 |
About Hossein Aghababa
Hossein Aghababa is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Hardware and Architecture, having authored 52 papers that have together received 571 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (18 papers) and Advancements in Semiconductor Devices and Circuit Design (15 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Atomic and Molecular Physics, and Optics (302 citations) and Electrical and Electronic Engineering (169 citations). Hossein Aghababa has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include Mohammadreza Kolahdouz, Monireh Houshmand, Behjat Forouzandeh, Monireh Houshmand, Henry H. Radamson, Yuanyuan Wu, Buqing Xu, Ali Afzali‐Kusha, Behzad Ebrahimi and Masoud Barati. Their work appears in journals such as RSC Advances, Optical Materials and Journal of Electronic Materials.
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.