Example of Computers in Human Behavior format
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Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format
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Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format Example of Computers in Human Behavior format
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open access Open Access ISSN: 7475632
recommended Recommended

Computers in Human Behavior — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Arts and Humanities (miscellaneous) #2 of 306 up up by 4 ranks
Psychology (all) #5 of 203 up up by 7 ranks
Human-Computer Interaction #5 of 120 up up by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1934 Published Papers | 26743 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 10/06/2020
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FAQ

Journal Performance & Insights

  • CiteRatio
  • SJR
  • SNIP

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

13.8

14% from 2019

CiteRatio for Computers in Human Behavior from 2016 - 2020
Year Value
2020 13.8
2019 12.1
2018 9.4
2017 7.4
2016 6.2
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 14% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

2.108

3% from 2019

SJR for Computers in Human Behavior from 2016 - 2020
Year Value
2020 2.108
2019 2.173
2018 1.711
2017 1.555
2016 1.663
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

3.151

2% from 2019

SNIP for Computers in Human Behavior from 2016 - 2020
Year Value
2020 3.151
2019 3.079
2018 2.418
2017 2.182
2016 2.261
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 2% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

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Computers in Human Behavior

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Elsevier

Computers in Human Behavior

Computers in Human Behavior is a scholarly journal dedicated to examining the use of computers from a psychological perspective. Original theoretical works, research reports, literature reviews, software reviews, book reviews and announcements are published. The journal addres...... Read More

Arts and Humanities

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Last updated on
09 Jun 2020
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ISSN
0747-5632
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Impact Factor
High - 2.406
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Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
elsarticle-num
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Citation Type
Numbered
[25]
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Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/S0747-5632(00)00041-8
A cognitive-behavioral model of pathological Internet use
R.A. Davis1

Abstract:

This article introduces a cognitive-behavioral model of Pathological Internet Use (PIU). While previous studies on Internet addiction have described behavioral factors, such as withdrawal and tolerance, the present article focuses on the maladaptive cognitions associated with PIU. The cognitive-behavioral model of PIU disting... This article introduces a cognitive-behavioral model of Pathological Internet Use (PIU). While previous studies on Internet addiction have described behavioral factors, such as withdrawal and tolerance, the present article focuses on the maladaptive cognitions associated with PIU. The cognitive-behavioral model of PIU distinguishes between specific PIU and generalized PIU. Specific PIU refers to the condition in which an individual pathologically uses the Internet for a particular purpose, such as online sex or online gambling, whereas generalized PIU describes a more global set of behaviors. The model implies a more important role of cognitions in PIU, and describes the means by which PIU is both developed and maintained. Furthermore, it provides a framework for the development of cognitive-behavioral interventions for PIU. read more read less

Topics:

Internet addiction disorder (51%)51% related to the paper
1,853 Citations
Journal Article DOI: 10.1016/J.CHB.2004.03.003
Toward an understanding of the behavioral intention to use mobile banking
Pin Luarn1, Hsin-Hui Lin1

Abstract:

Although millions of dollars have been spent on building mobile banking systems, reports on mobile banking show that potential users may not be using the systems, despite their availability. Thus, research is needed to identify the factors determining users' acceptance of mobile banking. While there has been considerable rese... Although millions of dollars have been spent on building mobile banking systems, reports on mobile banking show that potential users may not be using the systems, despite their availability. Thus, research is needed to identify the factors determining users' acceptance of mobile banking. While there has been considerable research on the technology acceptance model (TAM) that predicts whether individuals will accept and voluntarily use information systems, limitations of the TAM include the omission of an important trust-based construct in the context of electronic/mobile commerce, and the assumption that there are no barriers preventing an individual from using an IS if he or she chooses to do so. Based on literature relating to the theory of planned behavior (TPB) and the TAM, this study extends the applicability of the TAM in a mobile banking context, by adding one trust-based construct (“perceived credibility”) and two resource-based constructs (“perceived self-efficacy” and “perceived financial cost”) to the model, while paying careful attention to the placing of these constructs in the TAM's existing nomological structure. Data collected from 180 users in Taiwan were tested against the extended TAM, using the structural equation modeling approach. The results strongly support the extended TAM in predicting users' intentions to adopt mobile banking. Several implications for IT/IS acceptance research and mobile banking management practices are discussed. read more read less

Topics:

Mobile banking (62%)62% related to the paper, Technology acceptance model (57%)57% related to the paper, Mobile commerce (56%)56% related to the paper
1,680 Citations
Journal Article DOI: 10.1016/J.CHB.2009.11.014
Review: Following you home from school: A critical review and synthesis of research on cyberbullying victimization
Robert S. Tokunaga1

Abstract:

More than 97% of youths in the United States are connected to the Internet in some way. An unintended outcome of the Internet's pervasive reach is the growing rate of harmful offenses against children and teens. Cyberbullying victimization is one such offense that has recently received a fair amount of attention. The present ... More than 97% of youths in the United States are connected to the Internet in some way. An unintended outcome of the Internet's pervasive reach is the growing rate of harmful offenses against children and teens. Cyberbullying victimization is one such offense that has recently received a fair amount of attention. The present report synthesizes findings from quantitative research on cyberbullying victimization. An integrative definition for the term cyberbullying is provided, differences between traditional bullying and cyberbullying are explained, areas of convergence and divergence are offered, and sampling and/or methodological explanations for the inconsistencies in the literature are considered. About 20-40% of all youths have experienced cyberbullying at least once in their lives. Demographic variables such as age and gender do not appear to predict cyberbullying victimization. Evidence suggests that victimization is associated with serious psychosocial, affective, and academic problems. The report concludes by outlining several areas of concern in cyberbullying research and discusses ways that future research can remedy them. read more read less

Topics:

Victimisation (50%)50% related to the paper
1,657 Citations
Journal Article DOI: 10.1016/J.CHB.2009.09.003
Who interacts on the Web?: The intersection of users' personality and social media use
Teresa Correa1, Amber Hinsley1, Homero Gil de Zúñiga1

Abstract:

In the increasingly user-generated Web, users' personality traits may be crucial factors leading them to engage in this participatory media. The literature suggests factors such as extraversion, emotional stability and openness to experience are related to uses of social applications on the Internet. Using a national sample o... In the increasingly user-generated Web, users' personality traits may be crucial factors leading them to engage in this participatory media. The literature suggests factors such as extraversion, emotional stability and openness to experience are related to uses of social applications on the Internet. Using a national sample of US adults, this study investigated the relationship between these three dimensions of the Big-Five model and social media use (defined as use of social networking sites and instant messages). It also examined whether gender and age played a role in that dynamic. Results revealed that while extraversion and openness to experiences were positively related to social media use, emotional stability was a negative predictor, controlling for socio-demographics and life satisfaction. These findings differed by gender and age. While extraverted men and women were both likely to be more frequent users of social media tools, only the men with greater degrees of emotional instability were more regular users. The relationship between extraversion and social media use was particularly important among the young adult cohort. Conversely, being open to new experiences emerged as an important personality predictor of social media use for the more mature segment of the sample. read more read less

Topics:

Social relation (60%)60% related to the paper, Big Five personality traits (59%)59% related to the paper, Personality (57%)57% related to the paper, Openness to experience (57%)57% related to the paper, Social media (56%)56% related to the paper
1,602 Citations
open accessOpen access Journal Article DOI: 10.1016/J.CHB.2008.12.024
Personality and motivations associated with Facebook use
Craig Ross1, Emily S. Orr1, Mia Sisic1, Jaime M. Arseneault1, Mary G. Simmering1, R. Robert Orr1

Abstract:

Facebook is quickly becoming one of the most popular tools for social communication. However, Facebook is somewhat different from other Social Networking Sites as it demonstrates an offline-to-online trend; that is, the majority of Facebook Friends are met offline and then added later. The present research investigated how th... Facebook is quickly becoming one of the most popular tools for social communication. However, Facebook is somewhat different from other Social Networking Sites as it demonstrates an offline-to-online trend; that is, the majority of Facebook Friends are met offline and then added later. The present research investigated how the Five-Factor Model of personality relates to Facebook use. Despite some expected trends regarding Extraversion and Openness to Experience, results indicated that personality factors were not as influential as previous literature would suggest. The results also indicated that a motivation to communicate was influential in terms of Facebook use. It is suggested that different motivations may be influential in the decision to use tools such as Facebook, especially when individual functions of Facebook are being considered. read more read less

Topics:

Cyberpsychology (60%)60% related to the paper, Personality (53%)53% related to the paper, Big Five personality traits (51%)51% related to the paper, Openness to experience (51%)51% related to the paper
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1,570 Citations
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With SciSpace, you do not need a word template for Computers in Human Behavior.

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Time taken to format a paper and Compliance with guidelines

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Computers in Human Behavior format uses elsarticle-num citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Computers in Human Behavior guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Computers in Human Behavior citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Computers in Human Behavior's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

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 those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo 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.

The 5 most common citation types in order of usage are:.

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

Our journal submission experts are skilled in submitting papers to various international journals.

After uploading your paper on SciSpace, you would see a button to request a journal submission service for Computers in Human Behavior.

Each submission service is completed within 4 - 5 working days.

Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Computers in Human Behavior Endnote style, according to elsevier guidelines.

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