About this journal
Aims and scope
An international, multidisciplinary, academic journal, Molecular Simulation covers all aspects of research related to, or of importance to, molecular modelling and simulation.
Molecular Simulation brings together the most significant papers concerned with applications of simulation methods, and original contributions to the development of simulation methodology from biology, biochemistry, chemistry, engineering, materials science, medicine and physics.
The aim is to provide a forum in which cross fertilization between application areas, methodologies, disciplines, as well as academic and industrial researchers can take place and new developments can be encouraged.
Molecular Simulation is of interest to all researchers using or developing simulation methods based on statistical mechanics/quantum mechanics. This includes molecular dynamics (MD, AIMD), Monte Carlo, ab initio methods related to simulation, multiscale and coarse graining methods.
All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single anonymized and submission is online via ScholarOne Manuscripts.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is single anonymized.
Publishing Ethics
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee on Publication Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/
Journal metrics
Usage
- 139K annual downloads/views
Citation metrics
- 1.9 (2023) Impact Factor
- 2.1 (2023) 5 year IF
- 3.8 (2023) CiteScore (Scopus)
- Q2 CiteScore Best Quartile
- 0.583 (2023) SNIP
- 0.343 (2023) SJR
Speed/acceptance
- 5 days avg. from submission to first decision
- 47 days avg. from submission to first post-review decision
- 14 days avg. from acceptance to online publication
- 21% 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.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
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.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Nick Quirke - Department of Chemistry, Imperial College, Molecular Sciences Research Hub, London, W12 OBZ
Regional Editors:
Daojian Cheng - Beijing University of Chemical Technology, China
Jerome Delhommelle - Department of Chemistry, University of Massachusetts Lowell, USA
Neha S. Gandhi - Manipal Institute of Technology, Manipal Academy of Higher Education, India
Miguel Jorge - Chemical and Process Engineering, University of Strathclyde, UK
Yuko Okamoto - Department of Physics, Nagoya University, Japan
Editorial Board Members:
Suresh Bhatia - University of Queensland, Australia
Fernando Bresme - Imperial College London, United Kingdom
C.R.A. Catlow - The Royal Institution of Great Britain, UK
Kwong-Yu Chan - University of Hong Kong, Hong Kong
P. Clancy - Cornell University, USA
David F. Coker - Metcalf Center for Science and Engineering, USA
Peter T. Cummings - Vanderbilt University, USA
D.J. Evans - Australian National University, Australia
K.E. Gubbins - North Carolina State University, USA
Wilfred F. Van Gunsteren - ETH-Zürich, Switzerland
Yi He - Zhejiang University, China
Hendrik Heinz - University of Colorado-Boulder, USA
Wenbing Hu - Nanjing University, China
Liangliang Huang - University of Oklahoma, USA
Jun Li - Tsinghua University, China
Nobuyuki Matsubayasi - Osaka University, Japan
J. Andrew McCammon - University of California at San Diego, USA
Marc Meunier - Materials Science Accerlys, Cambridge, UK
R. Pellenq - Massachusetts Institute of Technology, USA
B. M. Pettitt - University of Houston, USA
Lev Sarkisov - University of Edinburgh, UK
Soong-Hyuck Suh - Keimyung University, South Korea
Huai Sun- Shanghai Jiao Tong University, China
M. Tanaka - Tohoku University, Japan
Dongqing Wei - Shanghai Jiaotong University, China
Kenji Yasuoka - Keio University, Japan
Jijun Zhao - Dalian University of Technology, China
Shuangliang Zhao - East China University of Science and Technology, China
Abstracting and indexing
Open access
Molecular Simulation 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.
Use our APC finder to calculate your article publishing charge
18 issues per year
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