Journal of Applied Security Research
Published by Taylor & Francis
ISSN : 1936-1610 eISSN : 1936-1629
Abbreviation : J. Appl. Secur. Res.
Aims & Scope
Journal of Applied Security Research: An International Journal of Police - Security Operations & Practices is the official journal of the Security & Crime Prevention Section of the Academy of Criminal Justice Sciences.
It aims to assist scholars, educators, practitioners, and students to better understand and meet the increasing need for security in the United States.
JASR seeks to publish high quality original articles focusing on current developments in the theory and practice of security research, to advance discussion of these issues and their application in criminal justice settings.
The journal particularly welcomes articles with an emphasis on the latest methods, techniques, and technology.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.1 |
2024 | 1.10 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.387 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 21 |
Journal Rank
Year | Value |
---|---|
2024 | 14118 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 224 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Insider Threat Detection Using a Graph-Based Approach
Citation: 86
Authors: William, Jeffrey, Lawrence
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A Financial Fraud Detection Model Based on LSTM Deep Learning Technique
Citation: 82
Authors: Yara, Albatul, Murad A.
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Ham and Spam E-Mails Classification Using Machine Learning Techniques
Citation: 56
Authors: M., M., E. A.
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A New Malware Detection System Using Machine Learning Techniques for API Call Sequences
Citation: 55
Authors: M. Asha, K.
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The Softest of Targets: A Study on Terrorist Target Selection
Citation: 52
Authors: Victor H., R. Karl, Ian, Allyson, Jeffrey, Matthew
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Leaving Emergency Management in the Refugee Crisis to Civil Society? The Case of Austria
Citation: 48
Authors: Ruth
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Systematic Literature Review to Investigate the Application of Open Source Intelligence (OSINT) with Artificial Intelligence
Citation: 46
Authors: João Rafael Gonçalves, Renato José, Márcio, Domingos
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Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks
Citation: 40
Authors: Mark E.
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RETRACTED ARTICLE: A Survey on Malware Detection and Classification
Citation: 34
Authors: Rupali, Manesh