|Country||United Kingdom -||
|Subject Area and Category||Computer Science|
Computer Science Applications
Health (social science)
|Publisher||John Wiley and Sons Ltd|
|Scope||Understanding public policy in the age of the Internet requires understanding how individuals, organizations, governments and networks behave, and what motivates them in this new environment. Technological innovation and internet-mediated interaction raise both challenges and opportunities for public policy: whether in areas that have received much work already (e.g. digital divides, digital government, and privacy) or newer areas, like regulation of data-intensive technologies and platforms, the rise of precarious labour, and regulatory responses to misinformation and hate speech. We welcome innovative research in areas where the Internet already impacts public policy, where it raises new challenges or dilemmas, or provides opportunities for policy that is smart and equitable. While we welcome perspectives from any academic discipline, we look particularly for insight that can feed into social science disciplines like political science, public administration, economics, sociology, and communication. We welcome articles that introduce methodological innovation, theoretical development, or rigorous data analysis concerning a particular question or problem of public policy.|
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The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
|Computer Science Applications||2013||Q4|
|Computer Science Applications||2014||Q3|
|Computer Science Applications||2015||Q2|
|Computer Science Applications||2016||Q1|
|Computer Science Applications||2017||Q1|
|Computer Science Applications||2018||Q2|
|Computer Science Applications||2019||Q1|
|Health (social science)||2013||Q4|
|Health (social science)||2014||Q2|
|Health (social science)||2015||Q2|
|Health (social science)||2016||Q1|
|Health (social science)||2017||Q1|
|Health (social science)||2018||Q2|
|Health (social science)||2019||Q1|
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
|Cites per document||Year||Value|
|Cites / Doc. (4 years)||2012||0.000|
|Cites / Doc. (4 years)||2013||0.280|
|Cites / Doc. (4 years)||2014||1.098|
|Cites / Doc. (4 years)||2015||1.632|
|Cites / Doc. (4 years)||2016||2.646|
|Cites / Doc. (4 years)||2017||3.250|
|Cites / Doc. (4 years)||2018||3.562|
|Cites / Doc. (4 years)||2019||4.181|
|Cites / Doc. (3 years)||2012||0.000|
|Cites / Doc. (3 years)||2013||0.280|
|Cites / Doc. (3 years)||2014||1.098|
|Cites / Doc. (3 years)||2015||1.632|
|Cites / Doc. (3 years)||2016||3.162|
|Cites / Doc. (3 years)||2017||3.414|
|Cites / Doc. (3 years)||2018||3.203|
|Cites / Doc. (3 years)||2019||3.333|
|Cites / Doc. (2 years)||2012||0.000|
|Cites / Doc. (2 years)||2013||0.280|
|Cites / Doc. (2 years)||2014||1.098|
|Cites / Doc. (2 years)||2015||2.137|
|Cites / Doc. (2 years)||2016||3.375|
|Cites / Doc. (2 years)||2017||2.889|
|Cites / Doc. (2 years)||2018||2.683|
|Cites / Doc. (2 years)||2019||3.737|
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.
Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
|External Cites per document||2012||0|
|External Cites per document||2013||0.200|
|External Cites per document||2014||0.863|
|External Cites per document||2015||1.368|
|External Cites per document||2016||2.784|
|External Cites per document||2017||3.314|
|External Cites per document||2018||3.016|
|External Cites per document||2019||3.167|
|Cites per document||2012||0.000|
|Cites per document||2013||0.280|
|Cites per document||2014||1.098|
|Cites per document||2015||1.632|
|Cites per document||2016||3.162|
|Cites per document||2017||3.414|
|Cites per document||2018||3.203|
|Cites per document||2019||3.333|
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.