A.J. Aspden

1.8k total citations
41 papers, 1.4k citations indexed

About

A.J. Aspden is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Astronomy and Astrophysics. According to data from OpenAlex, A.J. Aspden has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 21 papers in Fluid Flow and Transfer Processes and 13 papers in Astronomy and Astrophysics. Recurrent topics in A.J. Aspden's work include Combustion and flame dynamics (25 papers), Advanced Combustion Engine Technologies (21 papers) and Gamma-ray bursts and supernovae (10 papers). A.J. Aspden is often cited by papers focused on Combustion and flame dynamics (25 papers), Advanced Combustion Engine Technologies (21 papers) and Gamma-ray bursts and supernovae (10 papers). A.J. Aspden collaborates with scholars based in United States, United Kingdom and Germany. A.J. Aspden's co-authors include John B. Bell, Marc Day, S. E. Woosley, Alan R. Kerstein, Stuart B. Dalziel, Nikolaos Nikiforakis, M. Zingale, Ann Almgren, F. K. Röpke and V. Sankaran and has published in prestigious journals such as The Astrophysical Journal, Journal of Fluid Mechanics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

A.J. Aspden

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.J. Aspden United States 18 1.1k 865 366 308 204 41 1.4k
Alexei Poludnenko United States 18 850 0.7× 432 0.5× 440 1.2× 438 1.4× 142 0.7× 46 1.2k
Vladimir Sabelnikov France 23 1.9k 1.7× 979 1.1× 634 1.7× 562 1.8× 10 0.0× 137 2.1k
Cyrus K. Madnia United States 19 948 0.8× 185 0.2× 367 1.0× 69 0.2× 31 0.2× 41 1.1k
G.H. Markstein United States 17 826 0.7× 301 0.3× 587 1.6× 641 2.1× 20 0.1× 36 1.3k
Yohei MORINISHI Japan 13 1.1k 1.0× 159 0.2× 196 0.5× 16 0.1× 60 0.3× 33 1.3k
Л.И. Стамов Russia 14 895 0.8× 113 0.1× 1.2k 3.3× 431 1.4× 45 0.2× 37 1.6k
Vadim N. Kurdyumov Spain 23 1.4k 1.2× 823 1.0× 720 2.0× 499 1.6× 11 0.1× 103 1.6k
V. V. Golub Russia 15 441 0.4× 244 0.3× 801 2.2× 315 1.0× 12 0.1× 122 984
Chenning Tong United States 15 824 0.7× 199 0.2× 129 0.4× 61 0.2× 25 0.1× 52 927
Guido Lodato France 14 620 0.5× 111 0.1× 228 0.6× 62 0.2× 18 0.1× 34 689

Countries citing papers authored by A.J. Aspden

Since Specialization
Citations

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

Fields of papers citing papers by A.J. Aspden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.J. Aspden. 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 A.J. Aspden. The network helps show where A.J. Aspden may publish in the future.

Co-authorship network of co-authors of A.J. Aspden

This figure shows the co-authorship network connecting the top 25 collaborators of A.J. Aspden. A scholar is included among the top collaborators of A.J. Aspden 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 A.J. Aspden. A.J. Aspden 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
1.
Skiba, A., et al.. (2025). Turbulence-flame interactions in high-Karlovitz-number lean premixed hydrogen piloted jet flames. Proceedings of the Combustion Institute. 41. 105868–105868.
2.
Bae, Jı Eun, et al.. (2025). Simultaneous imaging of OH and temperature in lean premixed hydrogen/air flames: Which marker for thermodiffusive instability?. Proceedings of the Combustion Institute. 41. 105919–105919.
3.
Day, Marc, et al.. (2024). Thermal diffusion, exhaust gas recirculation and blending effects on lean premixed hydrogen flames. Proceedings of the Combustion Institute. 40(1-4). 105429–105429. 9 indexed citations
4.
Richardson, E.S., et al.. (2024). Direct numerical simulation of a high-pressure hydrogen micromix combustor: Flame structure and stabilisation mechanism. Combustion and Flame. 265. 113504–113504. 6 indexed citations
5.
Aspden, A.J., et al.. (2024). Thermodiffusively-unstable lean premixed hydrogen flames: Length scale effects and turbulent burning regimes. Combustion and Flame. 272. 113855–113855. 8 indexed citations
6.
Aspden, A.J., et al.. (2024). Three-dimensional phenomenology of freely-propagating thermodiffusively-unstable lean premixed hydrogen flames. Proceedings of the Combustion Institute. 40(1-4). 105634–105634. 2 indexed citations
7.
Aspden, A.J., et al.. (2021). An empirical characteristic scaling model for freely-propagating lean premixed hydrogen flames. Combustion and Flame. 237. 111805–111805. 81 indexed citations
8.
Shin, Dong-hyuk, A.J. Aspden, & E.S. Richardson. (2017). Self-similar properties of decelerating turbulent jets. Journal of Fluid Mechanics. 833. 11 indexed citations
9.
Aspden, A.J., Nikolaos Nikiforakis, John B. Bell, & Stuart B. Dalziel. (2017). Turbulent jets with off-source heating. Journal of Fluid Mechanics. 824. 766–784. 6 indexed citations
10.
Aspden, A.J.. (2016). A numerical study of diffusive effects in turbulent lean premixed hydrogen flames. Proceedings of the Combustion Institute. 36(2). 1997–2004. 55 indexed citations
11.
Aspden, A.J., Marc Day, & John B. Bell. (2016). Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics. Combustion and Flame. 166. 266–283. 89 indexed citations
12.
Aspden, A.J., John B. Bell, & S. E. Woosley. (2011). TURBULENT OXYGEN FLAMES IN TYPE Ia SUPERNOVAE. The Astrophysical Journal. 730(2). 144–144. 5 indexed citations
13.
Aspden, A.J., Marc Day, & John B. Bell. (2011). Turbulence–flame interactions in lean premixed hydrogen: transition to the distributed burning regime. Journal of Fluid Mechanics. 680. 287–320. 210 indexed citations
14.
Aspden, A.J., John B. Bell, & S. E. Woosley. (2010). DISTRIBUTED FLAMES IN TYPE Ia SUPERNOVAE. The Astrophysical Journal. 710(2). 1654–1663. 36 indexed citations
15.
Aspden, A.J., John B. Bell, Marc Day, S. E. Woosley, & M. Zingale. (2009). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 56 indexed citations
16.
Woosley, S. E., Alan R. Kerstein, V. Sankaran, A.J. Aspden, & F. K. Röpke. (2009). TYPE Ia SUPERNOVAE: CALCULATIONS OF TURBULENT FLAMES USING THE LINEAR EDDY MODEL. The Astrophysical Journal. 704(1). 255–273. 55 indexed citations
17.
Woosley, S. E., Ann Almgren, A.J. Aspden, et al.. (2009). Type Ia supernovae: Advances in large scale simulation. Journal of Physics Conference Series. 180. 12023–12023. 1 indexed citations
18.
Scase, Matthew M., A.J. Aspden, & C. P. Caulfield. (2009). The effect of sudden source buoyancy flux increases on turbulent plumes. Journal of Fluid Mechanics. 635. 137–169. 17 indexed citations
19.
Aspden, A.J., et al.. (2008). Numerical simulation of low Mach number reacting flows. Journal of Physics Conference Series. 125. 12012–12012. 8 indexed citations
20.
Davidson, P. A., Binod Sreenivasan, & A.J. Aspden. (2007). Evolution of localized blobs of swirling or buoyant fluid with and without an ambient magnetic field. Physical Review E. 75(2). 26304–26304. 4 indexed citations

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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