Jamie Vicary

93 total papers · 961 total citations
32 papers, 214 citations indexed

About

Jamie Vicary is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Mathematical Physics. According to data from OpenAlex, Jamie Vicary has authored 32 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Mathematical Physics. Recurrent topics in Jamie Vicary's work include Homotopy and Cohomology in Algebraic Topology (11 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (11 papers). Jamie Vicary is often cited by papers focused on Homotopy and Cohomology in Algebraic Topology (11 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (11 papers). Jamie Vicary collaborates with scholars based in United Kingdom, Singapore and United States. Jamie Vicary's co-authors include Chris Heunen, Austen Lamacraft, Pieter W. Claeys, John C. Baez, Aleks Kissinger, Mike Stay, M J Harvey, Lawrence H. Dunn, William J. Zeng and Peter V. Coveney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Jamie Vicary

27 papers receiving 195 citations

Author Peers

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

Author						Papers	Cites
Jamie Vicary	121	100	54	48	44	32	214
N. N. Vorob’ëv	123 1.0×	74 0.7×	68 1.3×	13 0.3×	27 0.6×	31	294
Raffaella Carbone	125 1.0×	113 1.1×	21 0.4×	78 1.6×	27 0.6×	26	279
Piotr Gawron	155 1.3×	108 1.1×	46 0.9×	16 0.3×	13 0.3×	33	253
Shawn X. Cui	64 0.5×	83 0.8×	37 0.7×	65 1.4×	55 1.3×	17	226
Keye Martin	75 0.6×	29 0.3×	121 2.2×	56 1.2×	91 2.1×	27	208
Jean-Gabriel Luque	125 1.0×	126 1.3×	32 0.6×	31 0.6×	62 1.4×	29	244
Rajesh Pereira	112 0.9×	101 1.0×	77 1.4×	18 0.4×	30 0.7×	47	222
Bas Spitters	156 1.3×	51 0.5×	132 2.4×	73 1.5×	46 1.0×	39	257
Rainer Kemp	113 0.9×	22 0.2×	136 2.5×	88 1.8×	34 0.8×	47	290
Péter Vrana	95 0.8×	120 1.2×	23 0.4×	16 0.3×	28 0.6×	21	214

Countries citing papers authored by Jamie Vicary

Since Specialization

Citations

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

Fields of papers citing papers by Jamie Vicary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Vicary

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Vicary. A scholar is included among the top collaborators of Jamie Vicary 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 Jamie Vicary. Jamie Vicary 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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