Arabian Journal for Science and Engineering

About This Journal

The Arabian Journal for Science and Engineering (AJSE) is an international, peer-reviewed journal publishing original research articles, reviews, and technical papers in the fields of science and engineering. The journal aims to disseminate high-quality research that advances scientific knowledge and engineering practice. It welcomes interdisciplinary studies and contributions from researchers worldwide in both theoretical and applied sciences.

PublisherSpringer-Verlag

LanguageEnglish

FrequencyMonthly

Access

Website www.springer.com

Subject Areas

Biological Sciences Chemistry Physics Earth Sciences Environmental Science Mathematics Chemical Engineering Civil Engineering Computer Science Electrical Engineering Mechanical Engineering Petroleum Engineering

Top Contributing Countries

🇸🇦 Saudi Arabia

31%

🇪🇬 Egypt

18%

🇵🇰 Pakistan

12%

🇮🇷 Iran

10%

🇮🇳 India

Citation Trend

Papers Published per Year

AMS Score History

Subject Breakdown

Biological Sciences

Chemistry

Physics

Earth Sciences

Environmental Science

Mathematics

Chemical Engineering

Civil Engineering

Computer Science

Electrical Engineering

Mechanical Engineering

Petroleum Engineering

124,597 Total Citations

5,200 Total Papers

0 Authors

h-98 H-index

9.74 CIF

0w Review Time

Most Cited Papers

Fiber–Matrix Interactions in Fiber-Reinforced Concrete: A Review

Yassir M. Abbas; M. Iqbal Khan 2016 10.1007/s13369-016-2099-1

99 citations

Investigation on Mechanical and Tribological Behaviors of PA6 and Graphite-Reinforced PA6 Polymer Composites

S. Sathees Kumar; G. Kanagaraj 2016 10.1007/s13369-016-2126-2

95 citations

A Novel Algorithm for Imbalance Data Classification Based on Genetic Algorithm Improved SMOTE

Kun Jiang; Jing Lu; Kuiliang Xia 2016 10.1007/s13369-016-2179-2

95 citations

Effect of Magnetite Ferrofluid on the Performance and Emissions Characteristics of Diesel Engine Using Methyl Esters of Mustard Oil

D. Yuvarajan; M. Venkata Ramanan 2016 10.1007/s13369-016-2060-3

73 citations

A Machine Learning System for the Diagnosis of Parkinson’s Disease from Speech Signals and Its Application to Multiple Speech Signal Types

İsmail Cantürk; Fethullah Karabiber 2016 10.1007/s13369-016-2206-3

72 citations

View all 5,200 papers

How to Submit

Review Aims & Scope

Ensure your research aligns with the journal's subject areas.

Prepare your manuscript

Follow author guidelines. English, double-spaced, with structured abstract.

Submit via the publisher's portal

Use the journal's official submission system linked below.

Go to Submission Portal

Review time ~0 weeks · Acceptance rate 0%

100 AMS

Q1 Top quartile in Engineering & Technology

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Quick Facts

FieldEngineering & Technology

Country🇸🇦 Saudi Arabia

ISSN1319-8025

eISSN2191-4281

FrequencyMonthly

Est.1975

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