Combustion Theory and Modelling is a leading international journal devoted to the application of mathematical modelling, numerical simulation and experimental techniques to the study of combustion. Articles can cover a wide range of topics, such as: premixed laminar flames, laminar diffusion flames, turbulent combustion, fires, chemical kinetics, pollutant formation, microgravity, materials synthesis, chemical vapour deposition, catalysis, droplet and spray combustion, detonation dynamics, thermal explosions, ignition, energetic materials and propellants, burners and engine combustion. A diverse spectrum of mathematical methods may also be used, including large scale numerical simulation, hybrid computational schemes, front tracking, adaptive mesh refinement, optimized parallel computation, asymptotic methods and singular perturbation techniques, bifurcation theory, optimization methods, dynamical systems theory, cellular automata and discrete methods and probabilistic and statistical methods. Experimental studies that employ intrusive or nonintrusive diagnostics and are published in the Journal should be closely related to theoretical issues, by highlighting fundamental theoretical questions or by providing a sound basis for comparison with theory.
All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
Journal metrics
Usage
48K annual downloads/views
Citation metrics
1.9 (2023) Impact Factor
Q2 Impact Factor Best Quartile
2.0 (2023) 5 year IF
3.0 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
0.866 (2023) SNIP
0.513 (2023) SJR
Speed/acceptance
63 days avg. from submission to first
decision
75 days avg. from submission to first
post-review decision
10 days avg. from acceptance to online
publication
38% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Professor Moshe Matalon - Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Mechanical Engineering Building, 1206 West Green Street, MC-244, Urbana, IL 61801-2906, USA Professor Mitchell D. Smooke - Department of Mechanical Engineering, Yale University, PO Box 208284, New Haven, CT 06520-8284, USA
Editorial Board
Harsha Chelliah - University of Virginia, USA Jackie Chen - Sandia National Laboratories, CA Gaetano Continillo - Università del Sannio, Benevento, Italy Francesco Creta- Sapienza University of Rome, Italy Peyman Givi - University of Pittsburgh, PA, USA Ashwani Kapila - Rensselaer Polytechnic Institute, Troy, NY, USA Peter Lindstedt - Imperial College London, UK Ulrich Maas - Universität Karlsruhe, Germany Assaad Masri - University of Sydney, Australia Epaminondas Mastorakos – University of Cambridge, UK Carlos Pantano - University of Illinois, Urbana-Champaign, USA Robert Pitz- Vanderbilt University, USA Matei Radulescu - University of Ottawa, Canada Zhuyin Ren - Tsinghua University, China Paul Ronney - University of Southern California, Los Angeles, USA Kal Seshadri - University of California, San Diego, USA Christopher Shaddix - Sandia National Laboratories, Livermore, CA, USA Gregory Sivashinsky - Tel Aviv University, Israel Scott Stewart - University of Illinois, Urbana-Champaign, IL, USA Chih-Jen (Jackie) Sung - University of Connecticut, Storrs, CT, USA Arnaud Trouvé - University of Maryland, College Park, MD, USA
Abstracting and indexing
Combustion Theory and Modelling is abstracted and indexed in: Applied Mechanics Reviews; Astrophysics Data System; British Library Inside; Cambridge Scientific Abstracts (Aerospace and High Technology Database, Engineered Materials Abstracts); Current Mathematical Publications; FLUIDEX; ISI CompuMath Citation Index®; ISI Current Contents® - Engineering, Computing and Technology; Electronic Collections Online; ISI Science Citation Index®; ISI Science Citation Index Expanded™; ISI SciSearch®; INSPEC®; Mathematical Reviews/MathSciNet; Metals Abstracts/METADEX; New Jour; OCLC ArticleFirst; Scopus™; Zentralblatt MATH/Mathematics Abstracts and Zetoc.
Open access
Combustion Theory and Modelling is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Please see the pricing or subscribe page for details.
Print ISSN:
1364-7830
Online ISSN:
1741-3559
7 issues per year
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