The Journal of the AJBAS (Australian Journal of Basic and Applied Sciences) has been published since 2007.AJBAS (Australian Journal of Basic and Applied Sciences) is a multidisciplinary journal that publishes high quality research publications in the areas of Agriculture, Biological, Information, Engineering, Health & Life Sciences, Zoology, Humanity, Social and Applied Sciences etc. and published by American-Eurasian Network for Scientific Information, Jordan with ISSN: 1991-8178. Being an academic-research publisher of peer-reviewed journals across the world, AJBAS is committed to publish excellent, original, double-blind peer-reviewed research articles of all types in various subjects. Along with AJBAS, AENSI Publishing Corporation publishes a number of journals to nurture the community and recognize the budding talents in the scientific world. AJBAS (Australian Journal of Basic and Applied Sciences) reached until October of 2017 around 20.500 citations according to Google scholar and there are strategies for increasing the citations to be in the end of 2017 more than 21 000 citations by publishing the high-quality papers and specific topics which have highly attentions around the world.

Australian Journal of Basic and Applied Sciences (AJBAS) is :

Australian Journal of Basic and Applied Sciences (AJBAS)

Journal Descriptions

Australian Journal of Basic and Applied Sciences (AJBAS) is :

International, Peer-Reviewed, Open Access, Refereed, multidisciplinary , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1991-8178, E-ISSN - 2309-8414, Established in - 2007, Impact Factor - 2.5

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Not indexed in WoS, DOAJ, PubMed, UGC CARE

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Publications of AJBAS

Numerical Study of a Concentric Tube Heat Exchanger Using Dimpled Tubes with Al2o3 NanoFluid

Studies on 4-Thiazolidinones: Part-1: Preparation and Antimicrobial Activity of 2-Aryl-3-(p- cumenyl)-5-H/methyl-4-thiazolidinones

Multimodel Biometric Authentication Based on Finger Print and Keystroke Dynamics Using Fuzzy Set

Tree Based Space Partition of Trajectory Pattern Mining for Frequent Itemsets

Cluster Ensemble Approach for High Dimensional Data

An Minimizing End to End Delay in MANET

A GUI based Hybrid Clustering technique for Brain tumor segmentation and validation in MRI images.

Effective Tracking and Estimation of Voltage Flickering Levels in Mitigation Device Using Artificial Neural Networks (ANN)

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