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Societal Transformation: AI and Big Data Journal

IQRA Univeristy · Pakistan · Est. 2023

ISSN3007-9330eISSN3007-9349
✓ DOAJ✓ Open Access
52
/ 100
Established
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
◆ DOAJ-listed52
Total52
H-Indexi
1
Total Worksi
24
Total Citationsi
3
2yr Mean Citednessi
0.00
Open Impact Factor alternative

Aims & Scope

AIBD is dedicated to publishing high-quality research in artificial intelligence and big data that drives meaningful societal transformation. The journal welcomes submissions from researchers worldwide and serves a diverse and interdisciplinary readership. Its primary aim is to promote novel methodologies, algorithms, applications, theories, and discoveries that contribute to large-scale societal impact through advancements in artificial intelligence. The journal maintains rigorous academic standards through a comprehensive quality assurance process.

General Information

Country / RegionPakistan
Primary LanguageEnglish
1st Year Published2023
Frequencybiannually
StatusActive (last: 2024)
Total Publications24
OA Since2022
Visit Journal Website

Submission Info

Peer ReviewDouble anonymous peer review
Review Time—
Acceptance Rate—
OA LicenseCC BY
OA Rate—

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes
Plagiarism Detection✓ Yes

Think.Check.Submit Compliance

10/12 · 83%
✅
Do you know the journal / publisher?
IQRA Univeristy
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
3007-9330 / 3007-9349
✅
Indexed in a trusted database?
DOAJ
✅
Peer review process documented?
Double anonymous peer review
❌
Follows ethical publishing standards (COPE)?
N/A
✅
APC fees clearly disclosed?
Yes
✅
Not on predatory/blacklists?
✓ Clean
❌
Long-term digital preservation?
N/A
✅
Plagiarism detection in place?
Yes
✅
Listed in DOAJ (verified OA)?
DOAJ verified
✅
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
6
3
2023
10
0
2024
10
0
2025

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification

Research Topics (OpenAlex)

Spam and Phishing DetectionBig Data and Business IntelligenceSoftware Engineering Techniques and PracticesSentiment Analysis and Opinion MiningCustomer churn and segmentationMental Health via WritingComputational and Text Analysis MethodsTopic ModelingEntrepreneurship Studies and InfluencesTechnology Adoption and User Behaviour

Frequently asked questions about Societal Transformation: AI and Big Data Journal

Is Societal Transformation: AI and Big Data Journal a predatory journal?

PubScope has no integrity flags on record for Societal Transformation: AI and Big Data Journal: it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 52/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Societal Transformation: AI and Big Data Journal?

Societal Transformation: AI and Big Data Journal is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor.

Is Societal Transformation: AI and Big Data Journal indexed in Scopus and Web of Science?

Societal Transformation: AI and Big Data Journal is indexed in DOAJ.

What is the aims and scope of Societal Transformation: AI and Big Data Journal?

AIBD is dedicated to publishing high-quality research in artificial intelligence and big data that drives meaningful societal transformation. The journal welcomes submissions from researchers worldwide and serves a diverse and interdisciplinary readership. Its primary aim is to promote novel methodologies, algorithms, applications, theories, and discoveries that contribute to large-scale societal impact through advancements in artificial intelligence. The journal maintains rigorous academic standards through a comprehensive quality assurance process.

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Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref