support@datacitex.io
DataCiteX Indexed Journal

Enthusiastic : International Journal of Applied Statistics and Data Science

eISSN: 2798-3153 Enthusiastic : International Journal of Applied Statistics and Data Science 2 issues per year

Explore the Enthusiastic : International Journal of Applied Statistics and Data Science journal profile, Data Science research coverage, citation metrics and scholarly impact.

DataCiteX Citation Score Three-year citation performance metric
Latest DCS 29.71 2025
208 Citations 2023 – 2025
÷
7 Documents 2023 – 2025
Journal Profile

Journal Information

Core publishing, identification and journal profile details.

Journal Title Enthusiastic : International Journal of Applied Statistics and Data Science
eISSN 2798-3153
Publisher Enthusiastic : International Journal of Applied Statistics and Data Science
Frequency 2 issues per year
Start Year 2021
Editor in Chief Dr. RB. Fajriya Hakim
Research Performance

Journal Metrics

Citation performance, DataCiteX Citation Score, ranking and research impact indicators.

Live Metrics
Top Performing Year
2025
Avg Citations / Year
44.83
Citations / Article
8.56
Latest DCS
29.71
Zone Ranking
Z1
Impact Factor
12.143
Performance Summary

Smart Insight

Auto Summary

Top citation year was 2025 with 85 citations. Average citations per year stand at 44.83. Each indexed article contributes around 8.56 citations on average. Latest CiteScore for 2025 is 29.71, indicating a Upward trend. Based on 2025 CiteScore comparison across active journals, this journal falls in Z1. Most cited article currently has 103 citations.

DataCiteX Citation Score

DCS Trend

3 Years
Article Performance

Most Cited Article

103 Cites
2021

Mardia’s Skewness and Kurtosis for Assessing Normality Assumption in Multivariate Regression

D Wulandari, S Sutrisno, MB Nirwana
ENTHUSIASTIC: International Journal of Applied Statistics and Data Science 1 …, 2021
Citation Intelligence

Citation Snapshot

Current citation and indexing performance of this journal.

Last Updated 05 Aug 2026
Total Citations 274 All-time citation count
H-Index 8 Citation impact indicator
I10-Index 6 Articles with 10+ citations
Indexed Articles 32 Articles currently indexed
Citation History

Yearly Citation Performance

Review annual citation counts and citation growth trends over time.

Annual Data

Yearly Citations

Year Citations
2026
38
2025
85
2024
71
2023
52
2022
22
2021
1
Trend Analysis

Citation Trend

Journal Overview

About This Journal

Learn more about the journal, its editorial focus and research coverage.

Enthusiastic : International Journal of Applied Statistics and Data Science (e-ISSN: 2798-3153, p-ISSN: 2798-253X) is an international journal published and managed by Statistics Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia. This journal publishes original research articles or review articles on all aspect of statistics and data science field which should be written in English. ENTHUSIASTIC has the vision to become a reputable journal and publish good quality papers. We aim to provide lecturer, researchers both academic and industries, and students worldwide with unlimited access to be published in our journal.
The scopes of the ENTHUSIASTIC: International Journal of Statistics and Data Science are:

Statistical Disaster Management: Risk Management, Spatial Statistics, Statistical Disaster Management, etc
Actuarial Science: Financial Model in Life and Non-Life Insurance, Pension Funds, ReInsurance, Modelling of Interest, etc
Data Science: Machine Learning, Deep Learning, Image Processing, Natural Language Processing, BioInformatics, etc
Statistics of Social and Business: Financial Analysis, Psychometrics, Social Network Analysis, etc
Statistics of Industry: Quality Control, Supply Chain Management, Six SIGMA, Optimization, etc
Research Output

Indexed Articles

Explore journal articles ordered by citation performance, with available Scholar, DOI, Crossref and PDF resources.

32 Articles Page 1 of 2
Showing 1 to 20 of 32 articles
Explore DataCiteX

Explore the Global Research Landscape

Discover journals, researchers, scholarly metrics, citation activity, and connected research records across the DataCiteX ecosystem.