C. J. Ballance

3.2k total citations · 3 hit papers
33 papers, 2.0k citations indexed

About

C. J. Ballance is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Epidemiology. According to data from OpenAlex, C. J. Ballance has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 28 papers in Atomic and Molecular Physics, and Optics and 2 papers in Epidemiology. Recurrent topics in C. J. Ballance's work include Quantum Information and Cryptography (27 papers), Quantum Computing Algorithms and Architecture (17 papers) and Cold Atom Physics and Bose-Einstein Condensates (10 papers). C. J. Ballance is often cited by papers focused on Quantum Information and Cryptography (27 papers), Quantum Computing Algorithms and Architecture (17 papers) and Cold Atom Physics and Bose-Einstein Condensates (10 papers). C. J. Ballance collaborates with scholars based in United Kingdom, United States and France. C. J. Ballance's co-authors include David Lucas, T. P. Harty, Norbert M. Linke, M. A. Sepiol, D. T. C. Allcock, D. N. Stacey, L. Guidoni, D. P. Nadlinger, T. G. Ballance and Andrew Steane and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

C. J. Ballance

31 papers receiving 1.9k citations

Hit Papers

High-Fidelity Quantum Logic Gates Using Trapped-Ion Hyper... 2014 2026 2018 2022 2016 2014 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. J. Ballance United Kingdom 17 1.6k 1.6k 183 80 78 33 2.0k
D. T. C. Allcock United States 17 1.1k 0.7× 1.2k 0.8× 129 0.7× 33 0.4× 85 1.1× 36 1.4k
T. P. Harty United Kingdom 11 1.0k 0.6× 1.0k 0.7× 104 0.6× 49 0.6× 61 0.8× 19 1.3k
Jonathan Home Switzerland 25 1.9k 1.2× 2.1k 1.3× 249 1.4× 84 1.1× 67 0.9× 70 2.5k
Jason Amini United States 17 1.1k 0.7× 1.4k 0.9× 125 0.7× 28 0.3× 77 1.0× 33 1.6k
J. Benhelm Austria 15 2.3k 1.4× 2.5k 1.6× 120 0.7× 71 0.9× 40 0.5× 20 2.8k
G. P. T. Lancaster Austria 15 2.2k 1.4× 2.5k 1.6× 179 1.0× 52 0.7× 48 0.6× 26 2.8k
S. C. Webster United Kingdom 21 1.3k 0.8× 1.6k 1.0× 211 1.2× 18 0.2× 73 0.9× 38 1.8k
Yves Colombe Austria 17 1.1k 0.7× 1.6k 1.0× 225 1.2× 16 0.2× 85 1.1× 31 1.8k
Scott Glancy United States 18 1.8k 1.1× 1.9k 1.2× 301 1.6× 44 0.6× 31 0.4× 39 2.1k
S. Seidelin France 15 1.9k 1.1× 2.3k 1.5× 423 2.3× 70 0.9× 190 2.4× 31 2.7k

Countries citing papers authored by C. J. Ballance

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Ballance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. J. Ballance. 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 C. J. Ballance. The network helps show where C. J. Ballance may publish in the future.

Co-authorship network of co-authors of C. J. Ballance

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Ballance. A scholar is included among the top collaborators of C. J. Ballance 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 C. J. Ballance. C. J. Ballance 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.
King, Steven A., et al.. (2025). Scalable, High-Fidelity All-Electronic Control of Trapped-Ion Qubits. PRX Quantum. 6(4). 3 indexed citations
2.
Sun, Bangshan, Andong Wang, Mohan Wang, et al.. (2024). Low cross-talk optical addressing of trapped-ion qubits using a novel integrated photonic chip. Light Science & Applications. 13(1). 199–199. 2 indexed citations
3.
Drmota, P., D. P. Nadlinger, D. Main, et al.. (2024). Verifiable Blind Quantum Computing with Trapped Ions and Single Photons. Physical Review Letters. 132(15). 150604–150604. 14 indexed citations
4.
Allcock, D. T. C., R. Srinivas, Vlad Negnevitsky, et al.. (2024). Scalable electronic control of trapped-ion qubits. QM3A.4–QM3A.4. 1 indexed citations
5.
Srinivas, R., D. T. C. Allcock, S. A. King, et al.. (2023). Coherent Control of Trapped-Ion Qubits with Localized Electric Fields. Physical Review Letters. 131(2). 20601–20601. 10 indexed citations
6.
Minder, Mariella, P. Drmota, G. Araneda, et al.. (2023). Breaking the Entangling Gate Speed Limit for Trapped-Ion Qubits Using a Phase-Stable Standing Wave. Physical Review Letters. 131(22). 220601–220601. 9 indexed citations
7.
Drmota, P., D. Main, D. P. Nadlinger, et al.. (2023). Robust Quantum Memory in a Trapped-Ion Quantum Network Node. Physical Review Letters. 130(9). 90803–90803. 39 indexed citations
8.
Wolf, Jean, et al.. (2023). Cryogenic ion trap system for high-fidelity near-field microwave-driven quantum logic. Quantum Science and Technology. 9(1). 15007–15007. 10 indexed citations
9.
Ballance, C. J., et al.. (2023). Do quantum circuit Born machines generalize?. Quantum Science and Technology. 8(3). 35021–35021. 15 indexed citations
10.
Allcock, D. T. C., et al.. (2023). How to Wire a 1000-Qubit Trapped-Ion Quantum Computer. PRX Quantum. 4(4). 21 indexed citations
11.
Nadlinger, D. P., P. Drmota, B. C. Nichol, et al.. (2022). Experimental quantum key distribution certified by Bell's theorem. Nature. 607(7920). 682–686. 143 indexed citations breakdown →
12.
Nichol, B. C., R. Srinivas, D. P. Nadlinger, et al.. (2022). An elementary quantum network of entangled optical atomic clocks. Nature. 609(7928). 689–694. 64 indexed citations
13.
Schäfer, Vera M., et al.. (2020). Benchmarking a High-Fidelity Mixed-Species Entangling Gate. Physical Review Letters. 125(8). 80504–80504. 33 indexed citations
14.
Stephenson, L. J., D. P. Nadlinger, Shuoming An, et al.. (2020). High-Rate, High-Fidelity Entanglement of Qubits Across an Elementary Quantum Network. Physical Review Letters. 124(11). 110501–110501. 169 indexed citations
15.
Sepiol, M. A., D. P. Nadlinger, T. G. Ballance, et al.. (2019). Probing Qubit Memory Errors at the Part-per-Million Level. Physical Review Letters. 123(11). 110503–110503. 21 indexed citations
16.
Schäfer, Vera M., C. J. Ballance, L. J. Stephenson, et al.. (2018). Fast quantum logic gates with trapped-ion qubits. Nature. 555(7694). 75–78. 168 indexed citations
17.
Ballance, C. J., T. P. Harty, Norbert M. Linke, M. A. Sepiol, & David Lucas. (2016). High-Fidelity Quantum Logic Gates Using Trapped-Ion Hyperfine Qubits. Physical Review Letters. 117(6). 60504–60504. 480 indexed citations breakdown →
18.
Harty, T. P., et al.. (2016). High-Fidelity Trapped-Ion Quantum Logic Using Near-Field Microwaves. Physical Review Letters. 117(14). 140501–140501. 90 indexed citations
19.
Harty, T. P., D. T. C. Allcock, C. J. Ballance, et al.. (2014). High-Fidelity Preparation, Gates, Memory, and Readout of a Trapped-Ion Quantum Bit. Physical Review Letters. 113(22). 220501–220501. 414 indexed citations breakdown →
20.
Allcock, D. T. C., L. Guidoni, T. P. Harty, et al.. (2011). Reduction of heating rate in a microfabricated ion trap by pulsed-laser\n cleaning. Oxford University Research Archive (ORA) (University of Oxford). 45 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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