George S. Barron

532 total citations
8 papers, 261 citations indexed

About

George S. Barron is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, George S. Barron has authored 8 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 1 paper in Computational Theory and Mathematics. Recurrent topics in George S. Barron's work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (3 papers). George S. Barron is often cited by papers focused on Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (3 papers). George S. Barron collaborates with scholars based in United States. George S. Barron's co-authors include Sophia E. Economou, Edwin Barnes, Nicholas J. Mayhall, F. A. Calderon-Vargas, Harper R. Grimsley, David P. Pappas, Bryan Gard, A. J. Sigillito, Xiu–Hao Deng and Edwin Barnes and has published in prestigious journals such as Physical review. B., npj Quantum Information and Physical Review Research.

In The Last Decade

George S. Barron

8 papers receiving 256 citations

Peers

George S. Barron

AI

AMPO

CTM

EEE

MC

Bobak T. Kiani United States

Ophelia Crawford United Kingdom

Elies Gil-Fuster Germany

Ciarán Ryan-Anderson United States

Dripto M. Debroy United States

Diego García-Martín Spain

Adam Paetznick United States

David Francois United States

Thomas Gatterman United States

Manuel Rispler Germany

Bobak T. Kiani United States

George S. Barron

231 ×0.9

AI

91 ×0.8

AMPO

50 ×0.9

CTM

16 ×0.7

EEE

11 ×1.4

MC

Citations per year, relative to George S. Barron George S. Barron (= 1×) peers Bobak T. Kiani

Countries citing papers authored by George S. Barron

Since Specialization

Citations

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

Fields of papers citing papers by George S. Barron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George S. Barron. 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 George S. Barron. The network helps show where George S. Barron may publish in the future.

Co-authorship network of co-authors of George S. Barron

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

All Works

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8 of 8 papers shown

1.

Dyke, John S. Van, et al.. (2024). Scaling adaptive quantum simulation algorithms via operator pool tiling. Physical Review Research. 6(1). 7 indexed citations

2.

Grimsley, Harper R., George S. Barron, Edwin Barnes, Sophia E. Economou, & Nicholas J. Mayhall. (2023). Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus. npj Quantum Information. 9(1). 51 indexed citations

3.

Grimsley, Harper R., George S. Barron, Edwin Barnes, Sophia E. Economou, & Nicholas J. Mayhall. (2023). Author Correction: Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus. npj Quantum Information. 9(1). 3 indexed citations

4.

Barron, George S., et al.. (2022). Adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer. Physical Review Research. 4(3). 114 indexed citations

5.

Barron, George S., et al.. (2021). Improving the Performance of Quantum Approximate Optimization Algorithm Through an Adaptive, Problem-Tailored Ansatz. Bulletin of the American Physical Society. 2 indexed citations

6.

Gard, Bryan, George S. Barron, David P. Pappas, et al.. (2021). Gate-free state preparation for fast variational quantum eigensolver simulations. npj Quantum Information. 7(1). 53 indexed citations

7.

Barron, George S., et al.. (2020). Microwave-based arbitrary cphase gates for transmon qubits. Physical review. B.. 101(5). 8 indexed citations

8.

Calderon-Vargas, F. A., George S. Barron, Xiu–Hao Deng, et al.. (2019). Fast high-fidelity entangling gates for spin qubits in Si double quantum dots. Physical review. B.. 100(3). 23 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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