Junaid ur Rehman
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 36
- Quantum Computing Algorithms and Architecture 31
- Neural Networks and Reservoir Computing 3
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- Quantum Mechanics and Applications 18
- Quantum optics and atomic interactions 5
- Atomic and Subatomic Physics Research 2
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- Quantum-Dot Cellular Automata 2
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- Molecular Communication and Nanonetworks 5
- Co-authors
- Hyundong ShinYoungmin JeongYong‐Su KimSeongjin HongHyang‐Tag LimSymeon ChatzinotasSang-Wook HanYoung‐Wook Cho
- Journals
- Scientific Reports (7 papers)Quantum Information Processing (5 papers)IEEE Transactions on Communications (4 papers)
- Partner nations
- South KoreaLuxembourgCanada
In The Last Decade
Junaid ur Rehman
44 papers receiving 342 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 249
- Atomic and Molecular Physics, and Optics 180
- Acoustics and Ultrasonics 2
- Computational Theory and Mathematics 16
- Catalysis 6
Countries citing papers authored by Junaid ur Rehman
This map shows the geographic impact of Junaid ur Rehman'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 Junaid ur Rehman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junaid ur Rehman more than expected).
Fields of papers citing papers by Junaid ur Rehman
This network shows the impact of papers produced by Junaid ur Rehman. 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 Junaid ur Rehman. The network helps show where Junaid ur Rehman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junaid ur Rehman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 5 | |
| 17 | Factors Affecting the Saudi Arabian Higher Education Creative Environment | 2019 | 3 |
| 18 | 2018 | 11 | |
| 19 | 2017 | 1 | |
| 20 | 2017 | 12 |
About Junaid ur Rehman
Junaid ur Rehman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 48 papers that have together received 350 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (36 papers), Quantum Computing Algorithms and Architecture (31 papers), Quantum Mechanics and Applications (18 papers), Molecular Communication and Nanonetworks (5 papers), Quantum optics and atomic interactions (5 papers), Neural Networks and Reservoir Computing (3 papers), Atomic and Subatomic Physics Research (2 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Atomic and Molecular Physics, and Optics (180 citations) and Acoustics and Ultrasonics (2 citations). Junaid ur Rehman has collaborated with scholars based in South Korea, Luxembourg and Canada. Frequent co-authors include Hyundong Shin, Youngmin Jeong, Yong‐Su Kim, Seongjin Hong, Hyang‐Tag Lim, Symeon Chatzinotas, Sang-Wook Han, Young‐Wook Cho, Seung-Woo Lee and Hojoong Jung. Their work appears in journals such as Scientific Reports, Quantum Information Processing, IEEE Transactions on Communications, EPJ Quantum Technology and Physical review. A.
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.