Editorial Policies

Focus and Scope

Encourage and publish research in the fields of Artificial Intelligence on Machine learning, Pattern recognition, Computer vision, Expert systems, Artificial neural network, Genetic algorithm, Natural language processing, Intelligent search engine, Logic controller, Complex systems, Date mining, Fuzzy control and so on.

 

Section Policies

Original Research

Checked Open Submissions Checked Indexed Checked Peer Reviewed

Reviews

Checked Open Submissions Checked Indexed Checked Peer Reviewed

Experience Exchange

Checked Open Submissions Checked Indexed Checked Peer Reviewed

Technical Notes

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

The journal uses double-blind system: both the reviewers' and authors' identities remain anonymous to eath other. Two reviewers from outside and one editor from the journal typically involve in reviewing a submission.

 

Publication Frequency

First Issue: September 2012

2012-2014 Quarterly, published in March, June, September and December

2015 Semi-annual, published in April, October

2016 Semi-annual, published in April, October

2017 Semi-annual, published in April, October

2018 Semi-annual, published in April, October

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

Archiving

This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. More...

 

Indexes

  • EBSCOhost
  • Google Scholar
  • ProQuest
  • LOCKSS
  • PKP Open Archives Harvester
  • SHERPA/RoMEO
  • The Standard Periodical Directory

 

Journal Metrics

1. Google-based Impact Factor (2017): 4.6

The impact factor (IF) or Journal impact factor (JIF) normally referred to is the proprietary journal impact factor from Thomson Reuters calculated based on the Web of Science (WOS) and published in the Journal Citation Reports® (JCR). Currently, this journal hasn’t been indexed in Thomson Reuters JCR. Therefore, its official JCR®JIF is not yet available.

However, Google Scholar now provides an alternative Google-based impact factor. Google Scholar is the only openly available database suitable for journal metric calculation. It has a wide coverage and is a meaningful source. For this reason, Redfame publishing is calculating its own Impact Factor by applying Thomson Reuters'(TR) algorithm based on Google Scholar's citation counts.

The 2017 Google-based impact factor of this journal would be calculated as follows:

IF2017=(Citations2016+Citations2015)/(Publications2016+Publications2015)=(141+89)/(27+23)=4.6

2. h-index (January 2018): 10

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar.

h-index is the largest number h such that h publications have at least h citations.

The data was calculated based on Google Scholar Citations

3. i10-index (January 2018): 5

i10-index is the number of publications with at least 10 citations.

The data was calculated based on Google Scholar Citations

4. h5-index (January 2018): 9 

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2012-2016 have at least h citations each.

The data was calculated based on Google Scholar Metrics

5. h5-median (January 2018): 12

h5-median for a publication is the median number of citations for the articles that make up its h5-index.

The data was calculated based on Google Scholar Metrics