Charles Neill

93 total papers · 4.3k total citations
7 papers, 119 citations indexed

About

Charles Neill is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Charles Neill has authored 7 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 3 papers in Artificial Intelligence and 2 papers in Condensed Matter Physics. Recurrent topics in Charles Neill's work include Quantum Computing Algorithms and Architecture (3 papers), Quantum many-body systems (2 papers) and Physics of Superconductivity and Magnetism (2 papers). Charles Neill is often cited by papers focused on Quantum Computing Algorithms and Architecture (3 papers), Quantum many-body systems (2 papers) and Physics of Superconductivity and Magnetism (2 papers). Charles Neill collaborates with scholars based in United States and United Kingdom. Charles Neill's co-authors include B. Chiaro, J. Kelly, A. Megrant, A. N. Cleland, J. Wenner, John M. Martinis, D. Sank, P. O’Malley, T. White and R. Barends and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Physical review. A.

In The Last Decade

Charles Neill

7 papers receiving 118 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Charles Neill	102	74	27	20	12	7	119
C. Stanford	119 1.2×	102 1.4×	65 2.4×	30 1.5×	16 1.3×	11	217
S. R. O’Kelley	110 1.1×	59 0.8×	24 0.9×	51 2.5×	12 1.0×	8	134
Kübra Yeter‐Aydeniz	84 0.8×	84 1.1×	6 0.2×	17 0.8×	15 1.3×	10	146
A. Dunsworth	226 2.2×	226 3.1×	34 1.3×	13 0.7×	5 0.4×	4	261
Neal Wilcer	58 0.6×	60 0.8×	51 1.9×	11 0.6×	6 0.5×	9	127
Yarui Zheng	104 1.0×	111 1.5×	14 0.5×	12 0.6×	3 0.3×	9	141
Daniel Kumor	42 0.4×	70 0.9×	46 1.7×	6 0.3×	9 0.8×	9	129
Elizabeth Crosson	99 1.0×	154 2.1×	7 0.3×	9 0.5×	5 0.4×	8	179
Kevin Singh	193 1.9×	83 1.1×	14 0.5×	11 0.6×	3 0.3×	11	236
T. E. Montroy	111 1.1×	68 0.9×	37 1.4×	7 0.3×	37 3.1×	6	160

Countries citing papers authored by Charles Neill

Since Specialization

Citations

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

Fields of papers citing papers by Charles Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Neill

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

All Works

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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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