Kevin Young

1.9k citations
45 papers · 1.2k indexed · 1 hit paper · h-index 20
Topics
Quantum Information and Cryptography (23 papers)Quantum Computing Algorithms and Architecture (21 papers)Quantum and electron transport phenomena (14 papers)

In The Last Decade

Kevin Young

42 papers receiving 1.1k citations

Hit Papers

Precision tomography of a three-qubit donor quantum proce...2022202620232024202250100150

Peers

Kevin Young
Comparison fields: 5 of 94
  • Artificial Intelligence 667
  • Atomic and Molecular Physics, and Optics 535
  • Electrical and Electronic Engineering 184
  • Social Psychology 149
  • Clinical Psychology 122
Replace Mark Byrd with:
Mark Byrd United States
Louis Deslauriers United States
He Lu China
Avshalom C. Elitzur Israel
Huw Price Australia
David Wallace United States
Leonardo Giusti Italy
J. A. Vaccaro Australia
Katharina Resch Austria
Gerald A. Goldin United States
Kevin Young relative to Mark Byrd United States Mark Byrd's profile →
Citations per field
00.5×5.7×
Mark Byrd · 1×
Citations per year

Countries citing papers authored by Kevin Young

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Young

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Young. A scholar is included among the top collaborators of Kevin Young 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 Kevin Young. Kevin Young 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
#WorkIndexed citations
1 10
2 0
3 7
4 2
5 1
6 21
7
Precision tomography of a three-qubit donor quantum processor in siliconbreakdown →
158
8 3
9 41
10 92
11 56
12
Idle tomography: Efficient gate characterization for N-qubit processors
2
13 68
14 32
15 98
16 9
17 8
18 13
19 12
20 19

About Kevin Young

Kevin Young is a scholar working on Artificial Intelligence, Applied Psychology and Atomic and Molecular Physics, and Optics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum and electron transport phenomena (14 papers). The work is most often cited by research in Artificial Intelligence (667 citations), Atomic and Molecular Physics, and Optics (535 citations) and Instrumentation (30 citations). Kevin Young has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robin Blume-Kohout, Timothy Proctor, Kenneth Rudinger, Erik Nielsen, Mohan Sarovar, K. Birgitta Whaley, Dan V. Blalock, Evan M. Kleiman, W. L. W. Sargent and K. Y. Lo. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.

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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