Example of Crime Science format
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Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format
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Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science format Example of Crime Science 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
recommended Recommended

Crime Science — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Cultural Studies #13 of 1037 up up by 4 ranks
Law #35 of 722 up up by 10 ranks
Urban Studies #25 of 215 down down by 6 ranks
Safety Research #13 of 88 down down by None rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 69 Published Papers | 289 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Related Journals

open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 1.1
SJR: 0.458
SNIP: 1.096
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SAGE

Quality:  
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CiteRatio: 3.3
SJR: 0.91
SNIP: 1.65
open access Open Access

SAGE

Quality:  
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CiteRatio: 1.3
SJR: 0.426
SNIP: 0.847
open access Open Access

Springer

Quality:  
High
CiteRatio: 1.9
SJR: 0.469
SNIP: 0.834

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

4.2

17% from 2019

CiteRatio for Crime Science from 2016 - 2020
Year Value
2020 4.2
2019 3.6
2018 3.5
2017 3.2
2016 2.6
graph view Graph view
table view Table view

0.978

6% from 2019

SJR for Crime Science from 2016 - 2020
Year Value
2020 0.978
2019 1.038
2018 1.323
2017 0.336
2016 0.131
graph view Graph view
table view Table view

1.857

35% from 2019

SNIP for Crime Science from 2016 - 2020
Year Value
2020 1.857
2019 1.38
2018 1.52
2017 1.226
2016 0.946
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 17% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 6% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 35% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Crime Science

Guideline source: View

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Springer

Crime Science

Approved by publishing and review experts on SciSpace, this template is built as per for Crime Science formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 816 authors to write and format their manuscripts to this journal.

Crime detection

i
Last updated on
13 Jul 2020
i
ISSN
1606-8610
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
White faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (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: 10.1186/S40163-020-00117-6
Initial evidence on the relationship between the coronavirus pandemic and crime in the United States
Matthew P. J. Ashby1
18 May 2020 - Crime Science

Abstract:

The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders. This article used police-recorded open crime data to understand how the frequency of common types of crime changed in 1... The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders. This article used police-recorded open crime data to understand how the frequency of common types of crime changed in 16 large cities across the United States in the early months of 2020. Seasonal auto-regressive integrated moving average (SARIMA) models of crime in previous years were used to forecast the expected frequency of crime in 2020 in the absence of the pandemic. The forecasts from these models were then compared to the actual frequency of crime during the early months of the pandemic. There were no significant changes in the frequency of serious assaults in public or (contrary to the concerns of policy makers) any change to the frequency of serious assaults in residences. In some cities, there were reductions in residential burglary but little change in non-residential burglary. Thefts of motor vehicles decreased in some cities while there were diverging patterns of thefts from motor vehicles. These results are used to make suggestions for future research into the relationships between the coronavirus pandemic and different crimes. read more read less

Topics:

Pandemic (50%)50% related to the paper
View PDF
184 Citations
open accessOpen access Journal Article DOI: 10.1186/S40163-014-0005-2
Wildlife trafficking in the Internet age
Anita Lavorgna1
15 May 2014 - Crime Science

Abstract:

There is a broad consensus that the Internet has greatly expanded possibilities for traditional transit crimes such as wildlife trafficking. However, the extent to which the Internet is exploited by criminals to carry out these types of activities and the way in which it has changed how these crimes are carried out remains un... There is a broad consensus that the Internet has greatly expanded possibilities for traditional transit crimes such as wildlife trafficking. However, the extent to which the Internet is exploited by criminals to carry out these types of activities and the way in which it has changed how these crimes are carried out remains under-investigated. Based on interviews and investigative cases, this paper shows the possibilities offered by a crime script approach for understanding what kind of criminal opportunities the Internet offers for conducting wildlife trafficking and how these opportunities affect the organization of this transit crime, as concerns both the carrying out of the criminal activity and the patterns of relations in and among criminal networks. It highlights how Internet-mediated wildlife trafficking is a hybrid market that combines the traditional social and economic opportunity structure with that provided by the Internet. read more read less

Topics:

Organised crime (57%)57% related to the paper, The Internet (56%)56% related to the paper
View PDF
158 Citations
open accessOpen access Journal Article DOI: 10.1186/2193-7680-2-1
A comparison of methods for temporal analysis of aoristic crime
23 May 2013 - Crime Science

Abstract:

To test the accuracy of various methods previously proposed (and one new method) to estimate offence times where the actual time of the event is not known. For 303 thefts of pedal cycles from railway stations, the actual offence time was determined from closed-circuit television and the resulting temporal distribution compare... To test the accuracy of various methods previously proposed (and one new method) to estimate offence times where the actual time of the event is not known. For 303 thefts of pedal cycles from railway stations, the actual offence time was determined from closed-circuit television and the resulting temporal distribution compared against commonly-used estimated distributions using circular statistics and analysis of residuals. Aoristic analysis and allocation of a random time to each offence allow accurate estimation of peak offence times. Commonly-used deterministic methods were found to be inaccurate and to produce misleading results. It is important that analysts use the most accurate methods for temporal distribution approximation to ensure any resource decisions made on the basis of peak times are reliable. read more read less
View PDF
114 Citations
open accessOpen access Journal Article DOI: 10.1186/S40163-020-00121-W
Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime.
Eric Halford1, A Dixon2, Graham Farrell2, Nicolas Malleson2, Nick Tilley3
06 Jul 2020 - Crime Science

Abstract:

Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WH... Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO ‘global pandemic’ announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (− 62%), theft (− 52%), domestic abuse (− 45%), theft from vehicle (− 43%), assault (− 36%), burglary dwelling (− 25%) and burglary non-dwelling (− 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (− 1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research. read more read less
View PDF
112 Citations
open accessOpen access Journal Article DOI: 10.1186/S40163-015-0023-8
Spatio-temporal crime hotspots and the ambient population
Nick Malleson1, Martin A. Andresen2
24 May 2015 - Crime Science

Abstract:

It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on different groups of people. Furthermore, the locations of vulnerable groups of people are highly temporally dynamic. Hence an accurate estimate of the true population at risk in... It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on different groups of people. Furthermore, the locations of vulnerable groups of people are highly temporally dynamic. Hence an accurate estimate of the true population at risk in a given place and time is vital for reliable crime rate calculation and hotspot generation. However, the choice of denominator is fraught with difficulty because data describing popular movements, rather than simply residential location, are limited. This research will make use of new ‘crowd-sourced’ data in an attempt to create more accurate estimates of the population at risk for mobile crimes such as street robbery. Importantly, these data are both spatially and temporally referenced and can therefore be used to estimate crime rate significance in both space and time. Spatio-temporal cluster hunting techniques will be used to identify crime hotspots that are significant given the size of the ambient population in the area at the time. read more read less

Topics:

Population (57%)57% related to the paper, Poison control (50%)50% related to the paper
98 Citations
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With SciSpace, you do not need a word template for Crime Science.

It automatically formats your research paper to Springer formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

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Frequently asked questions

1. Can I write Crime Science in LaTeX?

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

2. Do you follow the Crime Science guidelines?

Yes, the template is compliant with the Crime Science 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 Crime Science?

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 Crime Science citation style.

4. Can I use the Crime Science 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 Crime Science.

5. Can I use a manuscript in Crime Science 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 Crime Science that you can download at the end.

6. How long does it usually take you to format my papers in Crime Science?

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

7. Where can I find the template for the Crime Science?

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 Crime Science'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 Crime Science'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. Crime Science an online tool or is there a desktop version?

SciSpace's Crime Science 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 Crime Science?

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 Crime Science?”

11. What is the output that I would get after using Crime Science?

After writing your paper autoformatting in Crime Science, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Crime Science'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 Crime Science?

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 Crime Science. 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 Crime Science?

The 5 most common citation types in order of usage for Crime Science 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 Crime Science?

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 Crime Science's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Crime Science 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 Crime Science 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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