Combustion Theory and Modelling

1.2k papers and 23.1k indexed citations i.

About

The 1.2k papers published in Combustion Theory and Modelling in the last decades have received a total of 23.1k indexed citations. Papers published in Combustion Theory and Modelling usually cover Computational Mechanics (964 papers), Fluid Flow and Transfer Processes (641 papers) and Aerospace Engineering (383 papers) specifically the topics of Combustion and flame dynamics (904 papers), Advanced Combustion Engine Technologies (641 papers) and Combustion and Detonation Processes (340 papers). The most active scholars publishing in Combustion Theory and Modelling are Stephen B. Pope, Assaad R. Masri, Yiguang Ju, Ralph Menikoff, Zheng Chen, David Wîdory, Ulrich Maas, G. J. Sharpe, John B. Bell and J.A. van Oijen.

In The Last Decade

Fields of papers published in Combustion Theory and Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Combustion Theory and Modelling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Combustion Theory and Modelling.

Countries where authors publish in Combustion Theory and Modelling

Since Specialization
Citations

This map shows the geographic impact of research published in Combustion Theory and Modelling. 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 papers published in Combustion Theory and Modelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Combustion Theory and Modelling more than expected).

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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