Aidan Strathearn

567 total citations · 1 hit paper
6 papers, 387 citations indexed

About

Aidan Strathearn is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Aidan Strathearn has authored 6 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 4 papers in Statistical and Nonlinear Physics and 3 papers in Artificial Intelligence. Recurrent topics in Aidan Strathearn's work include Quantum many-body systems (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Aidan Strathearn is often cited by papers focused on Quantum many-body systems (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Aidan Strathearn collaborates with scholars based in Australia, United Kingdom and United States. Aidan Strathearn's co-authors include Peter Kirton, Brendon W. Lovett, Jonathan Keeling, Dainius Kilda, Ahsan Nazir, Erik M. Gauger, Jake Iles-Smith and P. R. Eastham and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Physical review. A.

In The Last Decade

Aidan Strathearn

6 papers receiving 385 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient non-Markovian quantum dynamics using time-evolving matrix product operators

2018 256 citations Aidan Strathearn, Peter Kirton et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aidan Strathearn Australia	6	365	165	108	27	20	6	387
Dainius Kilda United Kingdom	5	311 0.9×	131 0.8×	74 0.7×	20 0.7×	20 1.0×	5	328
T. H. Johnson United Kingdom	13	444 1.2×	293 1.8×	84 0.8×	46 1.7×	5 0.3×	15	512
Phillip Helms United States	6	183 0.5×	135 0.8×	44 0.4×	39 1.4×	11 0.6×	9	259
Andrew Risinger United States	8	384 1.1×	407 2.5×	48 0.4×	15 0.6×	11 0.6×	11	514
Debopriyo Biswas United States	6	355 1.0×	383 2.3×	44 0.4×	13 0.5×	10 0.5×	10	477
Anton S. Buyskikh United Kingdom	7	341 0.9×	206 1.2×	67 0.6×	71 2.6×	7 0.3×	12	389
Joseph Tindall United Kingdom	11	495 1.4×	222 1.3×	143 1.3×	96 3.6×	5 0.3×	18	568
Andrew J. Ferris Australia	13	441 1.2×	319 1.9×	47 0.4×	54 2.0×	11 0.6×	19	494
Andrew P. Hines Australia	9	456 1.2×	410 2.5×	60 0.6×	19 0.7×	8 0.4×	13	510
Emanuele Levi United Kingdom	10	539 1.5×	152 0.9×	190 1.8×	101 3.7×	17 0.8×	12	561

Countries citing papers authored by Aidan Strathearn

Since Specialization

Citations

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

Fields of papers citing papers by Aidan Strathearn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aidan Strathearn

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Eastham, P. R., Jonathan Keeling, Dainius Kilda, et al.. (2024). OQuPy: A Python package to efficiently simulate non-Markovian open quantum systems with process tensors. The Journal of Chemical Physics. 161(12). 17 indexed citations

2.

Strathearn, Aidan, et al.. (2022). Numerical evaluation and robustness of the quantum mean-force Gibbs state. Physical review. A. 106(1). 16 indexed citations

3.

Strathearn, Aidan, et al.. (2022). Using the Environment to Understand non-Markovian Open Quantum Systems. Quantum. 6. 847–847. 34 indexed citations

4.

Iles-Smith, Jake, Aidan Strathearn, Peter Kirton, et al.. (2022). Exact Dynamics of Nonadditive Environments in Non-Markovian Open Quantum Systems. PRX Quantum. 3(1). 48 indexed citations

5.

Strathearn, Aidan. (2020). Modelling Non-Markovian Quantum Systems Using Tensor Networks. Springer theses. 16 indexed citations

6.

Strathearn, Aidan, Peter Kirton, Dainius Kilda, Jonathan Keeling, & Brendon W. Lovett. (2018). Efficient non-Markovian quantum dynamics using time-evolving matrix product operators. Nature Communications. 9(1). 3322–3322. 256 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact