Paola Cappellaro

13.2k total citations · 3 hit papers
130 papers, 9.1k citations indexed

About

Paola Cappellaro is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Paola Cappellaro has authored 130 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Atomic and Molecular Physics, and Optics, 56 papers in Materials Chemistry and 41 papers in Artificial Intelligence. Recurrent topics in Paola Cappellaro's work include Diamond and Carbon-based Materials Research (55 papers), Atomic and Subatomic Physics Research (39 papers) and Quantum Information and Cryptography (36 papers). Paola Cappellaro is often cited by papers focused on Diamond and Carbon-based Materials Research (55 papers), Atomic and Subatomic Physics Research (39 papers) and Quantum Information and Cryptography (36 papers). Paola Cappellaro collaborates with scholars based in United States, Italy and Canada. Paola Cappellaro's co-authors include Christian L. Degen, Friedemann Reinhard, Mikhail D. Lukin, Liang Jiang, Amir Yacoby, Ronald L. Walsworth, Jacob M. Taylor, J. R. Maze, Philip Hemmer and Chandrasekhar Ramanathan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Paola Cappellaro

124 papers receiving 8.8k citations

Hit Papers

Quantum sensing 2008 2026 2014 2020 2017 2008 2008 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Cappellaro United States 38 6.8k 4.4k 2.6k 1.5k 1.3k 130 9.1k
Matthew Markham United Kingdom 46 7.7k 1.1× 6.5k 1.5× 3.4k 1.3× 1.8k 1.2× 2.1k 1.7× 109 10.9k
Christian L. Degen Switzerland 33 5.1k 0.8× 3.2k 0.7× 1.4k 0.6× 789 0.5× 1.9k 1.5× 109 7.3k
Lilian Childress United States 27 5.7k 0.8× 4.4k 1.0× 2.4k 0.9× 1.4k 0.9× 1.6k 1.2× 44 7.7k
Philipp Neumann Germany 43 6.0k 0.9× 6.5k 1.5× 1.8k 0.7× 2.1k 1.4× 1.9k 1.5× 68 9.1k
Friedemann Reinhard Germany 23 3.8k 0.6× 3.3k 0.7× 1.3k 0.5× 1.1k 0.7× 950 0.8× 45 5.9k
A. S. Zibrov United States 36 11.8k 1.7× 4.1k 0.9× 4.4k 1.7× 1.1k 0.7× 2.5k 2.0× 88 14.3k
Lloyd C. L. Hollenberg Australia 54 9.3k 1.4× 5.0k 1.1× 3.8k 1.5× 1.4k 0.9× 4.3k 3.4× 295 13.1k
Ronald Hanson Netherlands 50 12.8k 1.9× 5.3k 1.2× 6.4k 2.5× 1.2k 0.8× 4.5k 3.5× 110 15.8k
Norman Y. Yao United States 43 7.1k 1.1× 2.5k 0.6× 2.3k 0.9× 644 0.4× 785 0.6× 136 9.4k
Kohei M. Itoh Japan 50 6.9k 1.0× 3.7k 0.8× 2.7k 1.0× 630 0.4× 4.6k 3.6× 303 10.7k

Countries citing papers authored by Paola Cappellaro

Since Specialization
Citations

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

Fields of papers citing papers by Paola Cappellaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Cappellaro

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Cappellaro. A scholar is included among the top collaborators of Paola Cappellaro 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 Paola Cappellaro. Paola Cappellaro 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.
Cappellaro, Paola, et al.. (2025). Energy exchange statistics and fluctuation theorem for nonthermal asymptotic states. Physical review. E. 111(1). 14139–14139.
2.
Peng, Pai, et al.. (2024). Frame change technique for phase transient cancellation. Journal of Magnetic Resonance. 362. 107688–107688. 2 indexed citations
3.
Wang, Guoqing, et al.. (2024). Hyperfine-Enhanced Gyroscope Based on Solid-State Spins. Physical Review Letters. 133(15). 150801–150801. 1 indexed citations
4.
Cappellaro, Paola, et al.. (2024). Control of an Environmental Spin Defect beyond the Coherence Limit of a Central Spin. PRX Quantum. 5(1). 6 indexed citations
5.
Tang, Hao, Guoqing Wang, Haowei Xu, et al.. (2023). Communication-Efficient Quantum Algorithm for Distributed Machine Learning. Physical Review Letters. 130(15). 150602–150602. 7 indexed citations
6.
Xu, Haowei, Changhao Li, Guoqing Wang, et al.. (2023). Two-Photon Interface of Nuclear Spins Based on the Optonuclear Quadrupolar Effect. Physical Review X. 13(1). 2 indexed citations
7.
Wang, Guoqing, Changhao Li, Hao Tang, et al.. (2023). Manipulating solid-state spin concentration through charge transport. Proceedings of the National Academy of Sciences. 120(32). e2305621120–e2305621120. 5 indexed citations
8.
Ye, Erika, et al.. (2023). Quantum algorithm for the linear Vlasov equation with collisions. Physical review. A. 107(6). 5 indexed citations
9.
Peng, Pai, Bingtian Ye, Norman Y. Yao, & Paola Cappellaro. (2023). Exploiting disorder to probe spin and energy hydrodynamics. Nature Physics. 19(7). 1027–1032. 15 indexed citations
10.
Wang, Guoqing, Hao Tang, Mo Chen, et al.. (2023). Characterizing Temperature and Strain Variations with Qubit Ensembles for Their Robust Coherence Protection. Physical Review Letters. 131(4). 11 indexed citations
11.
Gherardini, Stefano, Michele Campisi, Andrea Trombettoni, et al.. (2022). Autonomous Dissipative Maxwell’s Demon in a Diamond Spin Qutrit. PRX Quantum. 3(2). 22 indexed citations
12.
Li, Changhao, Tianyi Li, Yi-Xiang Liu, & Paola Cappellaro. (2021). Effective routing design for remote entanglement generation on quantum networks. npj Quantum Information. 7(1). 75 indexed citations
13.
Cooper, Alexandre, et al.. (2020). Improved entanglement detection with subspace witnesses. Physical review. A. 101(1). 7 indexed citations
14.
Cooper, Alexandre, et al.. (2020). Identification and Control of Electron-Nuclear Spin Defects in Diamond. Physical Review Letters. 124(8). 83602–83602. 21 indexed citations
15.
Chen, Mo, et al.. (2020). Repetitive readout enhanced by machine learning. Machine Learning Science and Technology. 1(1). 15003–15003. 23 indexed citations
16.
Liu, Yi-Xiang, et al.. (2020). High-fidelity Trotter formulas for digital quantum simulation. Physical review. A. 102(1). 5 indexed citations
17.
Hirose, Masashi & Paola Cappellaro. (2018). Time-optimal control with finite bandwidth. Quantum Information Processing. 17(4). 12 indexed citations
18.
Degen, Christian L., Friedemann Reinhard, & Paola Cappellaro. (2017). Quantum sensing. Reviews of Modern Physics. 89(3). 2440 indexed citations breakdown →
19.
Pham, Linh, Stephen J. DeVience, Nir Bar‐Gill, et al.. (2014). Nanoscale NMR Spectroscopy and Imaging of Multiple Nuclear Species. Bulletin of the American Physical Society. 3 indexed citations
20.
Pérez-Delgado, Carlos A., Michele Mosca, Paola Cappellaro, & David G. Cory. (2006). Single Spin Measurement Using Cellular Automata Techniques. Physical Review Letters. 97(10). 100501–100501. 27 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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