Andrew P. Hines

13 papers receiving 493 citations

Peers

Andrew P. Hines
Comparison fields: 5 of 32
  • Atomic and Molecular Physics, and Optics 456
  • Artificial Intelligence 410
  • Statistical and Nonlinear Physics 60
  • Computational Theory and Mathematics 25
  • Condensed Matter Physics 19
Replace Christopher M. Dawson with:
Christopher M. Dawson Australia
Gerardo A. Paz-Silva Australia
Bin Yan United States
Andrew Risinger United States
Debopriyo Biswas United States
Crystal Noel United States
T. H. Johnson United Kingdom
Yimin Ge Germany
Wen Lin Tan United States
Laird Egan United States
Andrew P. Hines relative to Christopher M. Dawson Australia Christopher M. Dawson's profile →
Citations per field
00.5×1.5×
Christopher M. Dawson · 1×
Citations per year

Countries citing papers authored by Andrew P. Hines

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Hines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Hines. 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 Andrew P. Hines. The network helps show where Andrew P. Hines may publish in the future.

Co-authorship network of co-authors of Andrew P. Hines

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 3
3 39
4 1
5 13
6 32
7
Entanglement sharing and decoherence in the spin-bath (6 pages)
1
8 51
9 50
10 13
11 64
12 117
13 125

About Andrew P. Hines

Andrew P. Hines is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (456 citations), Artificial Intelligence (410 citations) and Computational Mathematics (3 citations). Andrew P. Hines has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include G. J. Milburn, Ross H. McKenzie, Christopher M. Dawson, P. C. E. Stamp, Duncan Mortimer, Tobias J. Osborne, Michael J. Bremner, Jennifer L. Dodd, Maximilian Schlosshauer and Michael A. Nielsen. Their work appears in journals such as Physical Review A, The Journal of Physical Chemistry A and Canadian Journal of Physics.

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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