Alireza Shabani

2.8k total citations
56 papers, 1.4k citations indexed

About

Alireza Shabani is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Alireza Shabani has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 29 papers in Atomic and Molecular Physics, and Optics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Alireza Shabani's work include Quantum Information and Cryptography (29 papers), Quantum Computing Algorithms and Architecture (22 papers) and Quantum Mechanics and Applications (9 papers). Alireza Shabani is often cited by papers focused on Quantum Information and Cryptography (29 papers), Quantum Computing Algorithms and Architecture (22 papers) and Quantum Mechanics and Applications (9 papers). Alireza Shabani collaborates with scholars based in United States, Iran and Denmark. Alireza Shabani's co-authors include Daniel A. Lidar, Masoud Mohseni, Herschel Rabitz, Robert L. Kosut, Hartmut Neven, Seth Lloyd, Matthew A. Broome, A. G. White, M. P. Almeida and Alessandro Fedrizzi and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Alireza Shabani

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alireza Shabani United States 20 1.0k 1.0k 168 135 90 56 1.4k
Iman Marvian United States 17 1.2k 1.2× 1.2k 1.2× 399 2.4× 54 0.4× 97 1.1× 28 1.8k
Runyao Duan China 25 1.5k 1.4× 1.2k 1.2× 99 0.6× 97 0.7× 98 1.1× 83 1.9k
Ilya Sinayskiy South Africa 23 1.5k 1.5× 881 0.9× 274 1.6× 127 0.9× 91 1.0× 62 2.0k
Yao Yao China 24 1.0k 1.0× 1.2k 1.2× 168 1.0× 216 1.6× 31 0.3× 67 1.6k
Mohan Sarovar United States 22 1.2k 1.2× 1.6k 1.5× 172 1.0× 190 1.4× 330 3.7× 60 1.9k
Florian Mintert Germany 35 3.2k 3.1× 3.7k 3.7× 527 3.1× 150 1.1× 75 0.8× 129 4.2k
Alexander Streltsov Poland 25 3.2k 3.1× 3.2k 3.2× 632 3.8× 142 1.1× 37 0.4× 60 3.7k
Tillmann Baumgratz Germany 6 2.0k 2.0× 2.1k 2.1× 453 2.7× 73 0.5× 21 0.2× 6 2.4k
Dong Yang China 22 1.7k 1.6× 1.7k 1.7× 246 1.5× 428 3.2× 57 0.6× 57 2.6k

Countries citing papers authored by Alireza Shabani

Since Specialization
Citations

This map shows the geographic impact of Alireza Shabani'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 Shabani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alireza Shabani more than expected).

Fields of papers citing papers by Alireza Shabani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alireza Shabani. 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 Shabani. The network helps show where Alireza Shabani may publish in the future.

Co-authorship network of co-authors of Alireza Shabani

This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Shabani. A scholar is included among the top collaborators of Alireza Shabani 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 Shabani. Alireza Shabani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mushtaq, Muhammad, Iltaf Muhammad, Zheng Chang, et al.. (2024). Uncovering efficient sensing properties of vanadium disulfide (VS2) nanosheets towards specific neurotransmitters: A DFT prospective. FlatChem. 48. 100764–100764. 5 indexed citations
2.
Shabani, Alireza, et al.. (2023). All-photonic one-way quantum repeaters with measurement-based error correction. npj Quantum Information. 9(1). 6 indexed citations
3.
Shapourian, Hassan & Alireza Shabani. (2023). Modular architectures to deterministically generate graph states. Quantum. 7. 935–935. 5 indexed citations
4.
Shabani, Alireza, et al.. (2023). Quantum Volume for Photonic Quantum Processors. Physical Review Letters. 130(11). 110602–110602. 5 indexed citations
5.
Bongiorno, Corrado, Antonino La Magna, Giovanni Mannino, et al.. (2022). Plasmon resonances in silicon nanowires: geometry effects on the trade-off between dielectric and metallic behaviour. Optical Materials Express. 13(3). 598–598. 1 indexed citations
6.
Ghazi, M. E., et al.. (2019). Density functional study of structural, electronic and magnetic properties of new half-metallic ferromagnetic double perovskite Sr 2 MnVO 6. Journal of Physics Condensed Matter. 31(47). 475501–475501. 8 indexed citations
7.
Shabani, Alireza, et al.. (2019). Impact of material characteristics on the general optical behavior of perforated surface plasmon system. Journal of Electromagnetic Waves and Applications. 34(10). 1372–1385. 1 indexed citations
8.
Vinci, Walter & Alireza Shabani. (2018). Optimally stopped variational quantum algorithms. Physical review. A. 97(4). 2 indexed citations
9.
Chen, Yu, Chris Quintana, Dvir Kafri, et al.. (2017). Progress towards a small-scale quantum annealer I: Architecture. Bulletin of the American Physical Society. 2017. 1 indexed citations
10.
Kafri, Dvir, Chris Quintana, Yu Chen, et al.. (2017). Tunable inductive coupling of superconducting qubits in the strongly nonlinear regime. Physical review. A. 95(5). 22 indexed citations
11.
Boixo, Sergio, Vadim Smelyanskiy, Alireza Shabani, et al.. (2016). Computational multiqubit tunnelling in programmable quantum annealers. Nature Communications. 7(1). 10327–10327. 131 indexed citations
12.
Neven, Hartmut, Vadim Smelyanskiy, Sergio Boixo, et al.. (2015). Computational Role of Collective Tunneling in a Quantum Annealer. Bulletin of the American Physical Society. 1 indexed citations
13.
Mohseni, Masoud, Masoud Mohseni, Tony Leggett, et al.. (2014). Quantum Effects in Biology. Cambridge University Press eBooks. 150 indexed citations
14.
Shabani, Alireza, et al.. (2014). Continuous Measurement of a Non-Markovian Open Quantum System. Physical Review Letters. 112(11). 113601–113601. 19 indexed citations
15.
Shabani, Alireza, Masoud Mohseni, Herschel Rabitz, & Seth Lloyd. (2012). Efficient estimation of energy transfer efficiency in light-harvesting complexes. Physical Review E. 86(1). 11915–11915. 40 indexed citations
16.
Shabani, Alireza, Masoud Mohseni, Herschel Rabitz, & Seth Lloyd. (2011). Optimal and robust energy transfer in light-harvesting complexes: (I) Efficient simulation of excitonic dynamics in the non-perturbative and non-Markovian regimes. arXiv (Cornell University). 2 indexed citations
17.
Shabani, Alireza, Masoud Mohseni, Seth Lloyd, Robert L. Kosut, & Herschel Rabitz. (2011). Estimation of many-body quantum Hamiltonians via compressive sensing. Physical Review A. 84(1). 53 indexed citations
18.
Shabani, Alireza & Kurt Jacobs. (2008). Locally Optimal Control of Quantum Systems with Strong Feedback. Physical Review Letters. 101(23). 230403–230403. 20 indexed citations
19.
Kosut, Robert L., Alireza Shabani, & Daniel A. Lidar. (2008). Robust Quantum Error Correction via Convex Optimization. Physical Review Letters. 100(2). 20502–20502. 44 indexed citations
20.
Shabani, Alireza & Daniel A. Lidar. (2005). Theory of initialization-free decoherence-free subspaces and subsystems (14 pages). Physical Review A. 72(4). 42303. 6 indexed citations

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.

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