Matthew J. Cleary

1.9k total citations
75 papers, 1.5k citations indexed

About

Matthew J. Cleary is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Matthew J. Cleary has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computational Mechanics, 39 papers in Fluid Flow and Transfer Processes and 24 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Matthew J. Cleary's work include Combustion and flame dynamics (55 papers), Advanced Combustion Engine Technologies (39 papers) and Fire dynamics and safety research (24 papers). Matthew J. Cleary is often cited by papers focused on Combustion and flame dynamics (55 papers), Advanced Combustion Engine Technologies (39 papers) and Fire dynamics and safety research (24 papers). Matthew J. Cleary collaborates with scholars based in Australia, Germany and United Kingdom. Matthew J. Cleary's co-authors include A. Y. Klimenko, Andreas Kronenburg, Assaad R. Masri, Oliver T. Stein, Huangwei Zhang, Fatemeh Salehi, A. Y. Klimenko, Majie Zhao, John Kent and Richard G. Morgan and has published in prestigious journals such as Journal of Fluid Mechanics, Chemical Engineering Science and Combustion and Flame.

In The Last Decade

Matthew J. Cleary

73 papers receiving 1.5k citations

Peers

Matthew J. Cleary

FFTP

SRRQ

Fumiteru AKAMATSU Japan

Andreas Kronenburg Germany

A. Coppalle France

G. K. Hargrave United Kingdom

Dirk Roekaerts Netherlands

N. Syred United Kingdom

Jean-Louis Consalvi France

R. Borghi France

M.Q. McQuay United States

Jiann C. Yang United States

Fumiteru AKAMATSU Japan

Matthew J. Cleary

1.1k ×0.9

622 ×0.8

FFTP

314 ×0.7

SRRQ

241 ×0.8

53 ×0.3

Citations per year, relative to Matthew J. Cleary Matthew J. Cleary (= 1×) peers Fumiteru AKAMATSU

Countries citing papers authored by Matthew J. Cleary

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Cleary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Cleary

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

All Works

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20 of 20 papers shown

Cuoci, Alberto, Alessio Frassoldati, Hua Zhou, et al.. (2025). A data-driven method to optimize soot kinetics based on uncertainty quantification and the active subspace approach. Combustion and Flame. 276. 114137–114137. 2 indexed citations

Cleary, Matthew J., et al.. (2025). Modelling and simulation approaches for turbulent spray atomisation and combustion. Applications in Energy and Combustion Science. 24. 100364–100364.

Cleary, Matthew J., et al.. (2025). A coupled Eulerian–Lagrangian approach with explicit volume diffusion subgrid closures for jet breakup and atomisation. Applications in Energy and Combustion Science. 23. 100350–100350.

Cleary, Matthew J., et al.. (2024). Uncertainty analysis of soot formation in laminar flames simulated with a sectional method. Combustion and Flame. 265. 113430–113430. 3 indexed citations

De, Santanu, et al.. (2022). A fully dynamic mixing time‐scale model for the sparse Lagrangian multiple mapping conditioning approach. Combustion and Flame. 238. 111872–111872. 3 indexed citations

De, Santanu, et al.. (2021). Coupling the Multiple Mapping Conditioning Mixing Model with Reaction-diffusion Databases in LES of Methane/air Flames. Combustion Science and Technology. 195(2). 351–378. 2 indexed citations

Wang, Bosen, et al.. (2021). Numerical convergence of volume of fluid based large eddy simulations of atomizing sprays. Physics of Fluids. 33(4). 14 indexed citations

Salehi, Fatemeh, et al.. (2021). Numerical and experimental analysis of poly-dispersion effects on particle-laden jets. International Journal of Heat and Fluid Flow. 91. 108852–108852. 9 indexed citations

Wang, Bosen, Matthew J. Cleary, & Assaad R. Masri. (2021). Coupling Explicit Volume Diffusion with ?-Y model for LES of Airblast Atomisation. 1(1). 2 indexed citations

10.

De, Santanu, et al.. (2020). LES of a lifted methanol spray flame series using the sparse Lagrangian MMC approach. Proceedings of the Combustion Institute. 38(2). 3399–3407. 11 indexed citations

11.

Cleary, Matthew J., et al.. (2020). Modelling of a turbulent premixed flame series using a new MMC-LES model with a shadow position reference variable. Proceedings of the Combustion Institute. 38(2). 3057–3065. 9 indexed citations

12.

Wehrfritz, Armin, Evatt R. Hawkes, Matthew J. Cleary, et al.. (2018). Application of a multiple mapping conditioning mixing model to ECN Spray A. Proceedings of the Combustion Institute. 37(3). 3263–3270. 19 indexed citations

13.

Kronenburg, Andreas, et al.. (2017). MMC-LES modelling of droplet nucleation and growth in turbulent jets. Chemical Engineering Science. 167. 204–218. 22 indexed citations

14.

Cleary, Matthew J., et al.. (2017). Sparse-Lagrangian MMC-LES Modelling of Reacting Acetone Spray. Victoria University Research Repository (Victoria University). 1 indexed citations

15.

Klimenko, A. Y., et al.. (2016). A direct approach to generalised multiple mapping conditioning for selected turbulent diffusion flame cases. Combustion Theory and Modelling. 20(4). 735–764. 13 indexed citations

16.

Kronenburg, Andreas, et al.. (2016). Multiple mapping conditioning for silica nanoparticle nucleation in turbulent flows. Proceedings of the Combustion Institute. 36(1). 1089–1097. 19 indexed citations

17.

Yin, Junjun, et al.. (2014). Conditional Methods in Modeling CO 2 Capture from Coal Syngas. Energies. 7(4). 1–18. 4 indexed citations

18.

Cleary, Matthew J., et al.. (2014). A Mixture Fraction-Based Model for Evaporation, Pyrolysis and Char Conversion of Dilute Fuel Dispersions. Victoria University Research Repository (Victoria University). 1 indexed citations

19.

Yin, Junjun, et al.. (2014). Conditional Methods in Modeling CO2 Capture from Coal Syngas. Energies. 7(4). 1899–1916. 1 indexed citations

20.

Cleary, Matthew J. & John Kent. (2003). A numerical method for conditional moment closure. Queensland's institutional digital repository (The University of Queensland). 3 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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