Georgios Maragkos

853 total citations
52 papers, 663 citations indexed

About

Georgios Maragkos is a scholar working on Safety, Risk, Reliability and Quality, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Georgios Maragkos has authored 52 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Safety, Risk, Reliability and Quality, 36 papers in Computational Mechanics and 21 papers in Aerospace Engineering. Recurrent topics in Georgios Maragkos's work include Fire dynamics and safety research (39 papers), Combustion and flame dynamics (32 papers) and Combustion and Detonation Processes (18 papers). Georgios Maragkos is often cited by papers focused on Fire dynamics and safety research (39 papers), Combustion and flame dynamics (32 papers) and Combustion and Detonation Processes (18 papers). Georgios Maragkos collaborates with scholars based in Belgium, France and United States. Georgios Maragkos's co-authors include Bart Merci, Tarek Beji, Pieter Rauwoens, B. Merci, Ruggiero Lovreglio, Enrico Ronchi, Joris Degroote, Alexander Snegirev, Steven Verstockt and Yi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and International Journal of Hydrogen Energy.

In The Last Decade

Georgios Maragkos

47 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgios Maragkos Belgium 15 468 331 206 170 124 52 663
Manhou Li China 18 686 1.5× 240 0.7× 413 2.0× 72 0.4× 263 2.1× 67 905
Sylvain Suard France 14 506 1.1× 105 0.3× 273 1.3× 111 0.7× 188 1.5× 36 609
Felipe Roman Centeno Brazil 14 211 0.5× 271 0.8× 124 0.6× 74 0.4× 82 0.7× 43 500
Didier Jamois France 15 292 0.6× 90 0.3× 473 2.3× 212 1.2× 55 0.4× 32 661
Xiepeng Sun China 16 653 1.4× 91 0.3× 178 0.9× 177 1.0× 365 2.9× 63 708
Kaoru Wakatsuki Japan 11 353 0.8× 86 0.3× 147 0.7× 79 0.5× 176 1.4× 30 536
M.R. Malin United Kingdom 13 153 0.3× 389 1.2× 137 0.7× 218 1.3× 154 1.2× 35 694
Qiuju Ma China 16 449 1.0× 129 0.4× 658 3.2× 31 0.2× 66 0.5× 48 811
B.J. Lowesmith United Kingdom 13 441 0.9× 145 0.4× 562 2.7× 152 0.9× 57 0.5× 17 804
Trygve Skjold Norway 18 463 1.0× 149 0.5× 718 3.5× 103 0.6× 75 0.6× 51 844

Countries citing papers authored by Georgios Maragkos

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Maragkos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Maragkos

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Maragkos. A scholar is included among the top collaborators of Georgios Maragkos 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 Georgios Maragkos. Georgios Maragkos 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
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Snegirev, Alexander, et al.. (2025). Derivation and application of autoignition-based simplified kinetic models of hydrocarbon oxidation for fire simulations. Fire Safety Journal. 156. 104471–104471. 2 indexed citations
4.
Snegirev, Alexander, et al.. (2025). 3D fully coupled simulations and theoretical analysis of counter-flow flame spread over a thin thermoplastic sheet. Combustion and Flame. 281. 114434–114434.
5.
Prétrel, Hugues, et al.. (2025). The importance of the GER definition in the analysis of combustion regimes in a closed mechanically ventilated compartment. Journal of Physics Conference Series. 3121(1). 12015–12015.
6.
Maragkos, Georgios & B. Merci. (2024). Influence of radiation modelling in under-resolved FDS free-burn simulations. International Journal of Heat and Fluid Flow. 107. 109437–109437. 4 indexed citations
7.
Maragkos, Georgios, et al.. (2024). Assessment of the EDC/finite rate chemistry approach towards predicting extinction in a turbulent buoyant diffusion flame. Proceedings of the Combustion Institute. 40(1-4). 105602–105602. 4 indexed citations
8.
Snegirev, Alexander, et al.. (2024). Two-zone subgrid combustion model for large eddy simulations of buoyant diffusion flames. Proceedings of the Combustion Institute. 40(1-4). 105235–105235. 5 indexed citations
9.
Snegirev, Alexander, et al.. (2024). Large eddy simulations of weakly turbulent diffusion flames in a co-flow with reduced oxygen concentration. Journal of Physics Conference Series. 2885(1). 12038–12038. 1 indexed citations
10.
Snegirev, Alexander, et al.. (2024). Autoignition-based simplified kinetic models of hydrocarbon oxidation for fire simulations. Journal of Physics Conference Series. 2885(1). 12039–12039. 1 indexed citations
11.
Maragkos, Georgios, et al.. (2024). Numerical simulations of propane pool fires with the EDC / finite rate chemistry approach using global reaction mechanisms. Journal of Physics Conference Series. 2885(1). 12044–12044. 1 indexed citations
12.
Maragkos, Georgios, et al.. (2023). Flame ignition and extinction modelling using infinitely fast chemistry in large eddy simulations of fire-related reacting flows. Fire Safety Journal. 141. 103952–103952. 7 indexed citations
13.
Maragkos, Georgios & Bart Merci. (2023). Sub-grid scale turbulent micro-mixing with infinitely fast chemistry in the context of fire modelling. Fire Safety Journal. 141. 103951–103951.
14.
Yu, Longxing, Tarek Beji, Georgios Maragkos, et al.. (2018). Assessment of Numerical Simulation Capabilities of the Fire Dynamics Simulator (FDS 6) for Planar Air Curtain Flows. Fire Technology. 54(3). 583–612. 17 indexed citations
15.
Maragkos, Georgios, Tarek Beji, & Bart Merci. (2017). Implementation and evaluation of the dynamic Smagorinsky model and an Eddy dissipation model with multiple reaction time scales in FireFOAM. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
16.
Beji, Tarek, et al.. (2017). Numerical modelling of the interaction between water sprays and hot air jets - Part I: Gas phase Large Eddy Simulations. Fire Safety Journal. 95. 77–86. 6 indexed citations
17.
Verstockt, Steven, et al.. (2017). Experimental study of corner fires—Part I: Inert panel tests. Combustion and Flame. 189. 472–490. 29 indexed citations
18.
Agarwal, G. S., Ankur Gupta, Georgios Maragkos, et al.. (2016). Computational analysis of pyrolysis and flame spread for MDF panels placed in a corner configuration. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
19.
Lovreglio, Ruggiero, Enrico Ronchi, Georgios Maragkos, Tarek Beji, & Bart Merci. (2016). A dynamic approach for the impact of a toxic gas dispersion hazard considering human behaviour and dispersion modelling. Journal of Hazardous Materials. 318. 758–771. 63 indexed citations
20.
Maragkos, Georgios, Pieter Rauwoens, & B. Merci. (2014). Assessment of a methodology to include differential diffusion in numerical simulations of a turbulent flame. International Journal of Hydrogen Energy. 40(2). 1212–1228. 5 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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