Peter Kirton

29 papers receiving 1.3k citations

Hit Papers

Efficient non-Markovian quantum dynamics using time-evolv...2018202620202023201850100150200250

Peers

Peter Kirton
Comparison fields: 5 of 38
  • Atomic and Molecular Physics, and Optics 1.2k
  • Artificial Intelligence 555
  • Statistical and Nonlinear Physics 249
  • Civil and Structural Engineering 162
  • Biomedical Engineering 122
Replace Dara P. S. McCutcheon with:
Dara P. S. McCutcheon United Kingdom
Oscar Dahlsten United Kingdom
Dimitris G. Angelakis Singapore
Saar Rahav Israel
Jake Iles-Smith United Kingdom
Benjamin A. Stickler Germany
Elena del Valle Spain
A. P. Alodjants Russia
Celso J. Villas-Bôas Brazil
Simone Felicetti Spain
Peter Kirton relative to Dara P. S. McCutcheon United Kingdom Dara P. S. McCutcheon's profile →
Citations per field
00.5×5.2×
Dara P. S. McCutcheon · 1×
Citations per year

Countries citing papers authored by Peter Kirton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kirton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kirton

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kirton. A scholar is included among the top collaborators of Peter Kirton 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 Peter Kirton. Peter Kirton 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 3
2 0
3 3
4 17
5 12
6 6
7 42
8 45
9 224
10
Efficient non-Markovian quantum dynamics using time-evolving matrix product operatorsbreakdown →
256
11 22
12 2
13 6
14 11
15 1
16 84
17 53
18 102
19 4
20 1

About Peter Kirton

Peter Kirton is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Strong Light-Matter Interactions (11 papers) and Quantum and electron transport phenomena (10 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.2k citations), Acoustics and Ultrasonics (24 citations) and Computational Mathematics (14 citations). Peter Kirton has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Jonathan Keeling, Brendon W. Lovett, Aidan Strathearn, Mor M. Roses, Emanuele G. Dalla Torre, Dainius Kilda, Peter Rabl, M. Ahsan Zeb, J. Ćwik and Simone De Liberato. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical 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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