Example of Journal of Computational Chemistry format
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Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format
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Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format Example of Journal of Computational Chemistry format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Journal of Computational Chemistry — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Computational Mathematics #18 of 152 down down by 11 ranks
Chemistry (all) #90 of 398 down down by 25 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 975 Published Papers | 5278 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/06/2020
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Related Journals

open access Open Access

Elsevier

Quality:  
High
CiteRatio: 5.5
SJR: 0.877
SNIP: 1.132
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 5.1
SJR: 0.686
SNIP: 1.835
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 1.4
SJR: 0.214
SNIP: 0.992

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.976

7% from 2018

Impact factor for Journal of Computational Chemistry from 2016 - 2019
Year Value
2019 2.976
2018 3.194
2017 3.221
2016 3.229
graph view Graph view
table view Table view

5.4

8% from 2019

CiteRatio for Journal of Computational Chemistry from 2016 - 2020
Year Value
2020 5.4
2019 5.9
2018 5.8
2017 5.8
2016 6.7
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 7% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.907

5% from 2019

SJR for Journal of Computational Chemistry from 2016 - 2020
Year Value
2020 0.907
2019 0.957
2018 1.11
2017 1.201
2016 1.422
graph view Graph view
table view Table view

0.965

8% from 2019

SNIP for Journal of Computational Chemistry from 2016 - 2020
Year Value
2020 0.965
2019 1.052
2018 1.029
2017 1.099
2016 1.311
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 5% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 8% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Computational Chemistry

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Wiley

Journal of Computational Chemistry

This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological,inorganic, organic and physical. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, ...... Read More

Mathematics

i
Last updated on
13 Jun 2020
i
ISSN
0192-8651
i
Impact Factor
High - 1.593
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1002/JCC.20084
UCSF Chimera--a visualization system for exploratory research and analysis.

Abstract:

The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the dem... The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. read more read less

Topics:

Unix (50%)50% related to the paper, OS X (50%)50% related to the paper
View PDF
35,698 Citations
Journal Article DOI: 10.1002/JCC.20495
Semiempirical GGA-type density functional constructed with a long-range dispersion correction.
Stefan Grimme1

Abstract:

A new density functional (DF) of the generalized gradient approximation (GGA) type for general chemistry applications termed B97-D is proposed. It is based on Becke's power-series ansatz from 1997 and is explicitly parameterized by including damped atom-pairwise dispersion corrections of the form C(6) x R(-6). A general compu... A new density functional (DF) of the generalized gradient approximation (GGA) type for general chemistry applications termed B97-D is proposed. It is based on Becke's power-series ansatz from 1997 and is explicitly parameterized by including damped atom-pairwise dispersion corrections of the form C(6) x R(-6). A general computational scheme for the parameters used in this correction has been established and parameters for elements up to xenon and a scaling factor for the dispersion part for several common density functionals (BLYP, PBE, TPSS, B3LYP) are reported. The new functional is tested in comparison with other GGAs and the B3LYP hybrid functional on standard thermochemical benchmark sets, for 40 noncovalently bound complexes, including large stacked aromatic molecules and group II element clusters, and for the computation of molecular geometries. Further cross-validation tests were performed for organometallic reactions and other difficult problems for standard functionals. In summary, it is found that B97-D belongs to one of the most accurate general purpose GGAs, reaching, for example for the G97/2 set of heat of formations, a mean absolute deviation of only 3.8 kcal mol(-1). The performance for noncovalently bound systems including many pure van der Waals complexes is exceptionally good, reaching on the average CCSD(T) accuracy. The basic strategy in the development to restrict the density functional description to shorter electron correlation lengths scales and to describe situations with medium to large interatomic distances by damped C(6) x R(-6) terms seems to be very successful, as demonstrated for some notoriously difficult reactions. As an example, for the isomerization of larger branched to linear alkanes, B97-D is the only DF available that yields the right sign for the energy difference. From a practical point of view, the new functional seems to be quite robust and it is thus suggested as an efficient and accurate quantum chemical method for large systems where dispersion forces are of general importance. read more read less

Topics:

Orbital-free density functional theory (60%)60% related to the paper, Hybrid functional (59%)59% related to the paper, Density functional theory (57%)57% related to the paper
23,058 Citations
open accessOpen access Journal Article DOI: 10.1002/JCC.21334
AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
Oleg Trott1, Arthur J. Olson1

Abstract:

AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predict... AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. read more read less

Topics:

AutoDock (76%)76% related to the paper, Protein–ligand docking (55%)55% related to the paper, Lead Finder (52%)52% related to the paper, Molecular Docking Simulation (52%)52% related to the paper
View PDF
20,059 Citations
Journal Article DOI: 10.1002/JCC.540141112
General atomic and molecular electronic structure system

Abstract:

A description of the ab initio quantum chemistry package GAMESS is presented. Chemical systems containing atoms through radon can be treated with wave functions ranging from the simplest closed-shell case up to a general MCSCF case, permitting calculations at the necessary level of sophistication. Emphasis is given to novel f... A description of the ab initio quantum chemistry package GAMESS is presented. Chemical systems containing atoms through radon can be treated with wave functions ranging from the simplest closed-shell case up to a general MCSCF case, permitting calculations at the necessary level of sophistication. Emphasis is given to novel features of the program. The parallelization strategy used in the RHF, ROHF, UHF, and GVB sections of the program is described, and detailed speecup results are given. Parallel calculations can be run on ordinary workstations as well as dedicated parallel machines. © John Wiley & Sons, Inc. read more read less

Topics:

GAMESS (61%)61% related to the paper
18,546 Citations
Journal Article DOI: 10.1002/JCC.22885
Multiwfn: a multifunctional wavefunction analyzer.
Tian Lu1, Feiwu Chen1

Abstract:

Multiwfn is a multifunctional program for wavefunction analysis. Its main functions are: (1) Calculating and visualizing real space function, such as electrostatic potential and electron localization function at point, in a line, in a plane or in a spatial scope. (2) Population analysis. (3) Bond order analysis. (4) Orbital c... Multiwfn is a multifunctional program for wavefunction analysis. Its main functions are: (1) Calculating and visualizing real space function, such as electrostatic potential and electron localization function at point, in a line, in a plane or in a spatial scope. (2) Population analysis. (3) Bond order analysis. (4) Orbital composition analysis. (5) Plot density-of-states and spectrum. (6) Topology analysis for electron density. Some other useful utilities involved in quantum chemistry studies are also provided. The built-in graph module enables the results of wavefunction analysis to be plotted directly or exported to high-quality graphic file. The program interface is very user-friendly and suitable for both research and teaching purpose. The code of Multiwfn is substantially optimized and parallelized. Its efficiency is demonstrated to be significantly higher than related programs with the same functions. Five practical examples involving a wide variety of systems and analysis methods are given to illustrate the usefulness of Multiwfn. The program is free of charge and open-source. Its precompiled file and source codes are available from http://multiwfn.codeplex.com. read more read less

Topics:

Population (52%)52% related to the paper, Plot (graphics) (51%)51% related to the paper
17,273 Citations
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Journal of Computational Chemistry format uses apa citation style.

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Frequently asked questions

1. Can I write Journal of Computational Chemistry in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Computational Chemistry guidelines and auto format it.

2. Do you follow the Journal of Computational Chemistry guidelines?

Yes, the template is compliant with the Journal of Computational Chemistry guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Computational Chemistry?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Computational Chemistry citation style.

4. Can I use the Journal of Computational Chemistry templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Computational Chemistry.

5. Can I use a manuscript in Journal of Computational Chemistry that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Computational Chemistry that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Computational Chemistry?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Computational Chemistry.

7. Where can I find the template for the Journal of Computational Chemistry?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Computational Chemistry's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Computational Chemistry's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Journal of Computational Chemistry an online tool or is there a desktop version?

SciSpace's Journal of Computational Chemistry is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Journal of Computational Chemistry?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Journal of Computational Chemistry?”

11. What is the output that I would get after using Journal of Computational Chemistry?

After writing your paper autoformatting in Journal of Computational Chemistry, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Computational Chemistry's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Computational Chemistry?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Computational Chemistry. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Computational Chemistry?

The 5 most common citation types in order of usage for Journal of Computational Chemistry are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Computational Chemistry?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Computational Chemistry's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Computational Chemistry in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Computational Chemistry Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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