Journal of Technology in Human Services
Published by Taylor & Francis
ISSN : 1522-8835 eISSN : 1522-8991
Abbreviation : J. Technol. Hum. Serv.
Aims & Scope
The Journal of Technology in Human Services explores the potential of information and communication technologies (ICT) across the social, development and human services sectors.
This journal illuminates the intersections of the evolving infosphere, including how human beings interact with data and devices and the impacts these innovations have on the full range of individual, organizational and social structures.
We publish work that is conceptual in nature in addition to research reports and meta-analyses.
The journal welcomes interdisciplinary scholarship as well as papers reporting on computational and statistical methods.
The Journal of Technology in Human Services focuses on areas such as: -New ICT specific to human services practitioners, community development professionals, community organizers and those working in public agencies at all levels. -Research studies on topics such as factors that influence application uptake, mechanism for identifying and overcoming resistance, ethical challenges, worker displacement, data ownership and transparency and social justice issues related to ICT implementation and use; as well as theory building and testing. -Clinical and experimental designs of innovative ICT applications, including: multimedia, geographic information systems, performance support systems, telehealth, virtual assistants, novel applications of virtual reality and other allied ICTs. -Big data, data science and predictive analytics as both a modality and mechanisms for conducting research in all sectors related to human services including child welfare, juvenile justice, and public education. -Small data and integrated data sharing.
Data management, impact assessment and outcome management for use in agency-based settings.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.5 |
2024 | 1.50 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.468 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 37 |
Journal Rank
Year | Value |
---|---|
2024 | 12252 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 136 |
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 Computer Science 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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A Comprehensive Review and a Meta-Analysis of the Effectiveness of Internet-Based Psychotherapeutic Interventions
Citation: 934
Authors: Azy, Liat, Meyran, Na'ama
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Current and Future Trends in Internet-Supported Mental Health Interventions
Citation: 280
Authors: Azy, John M.
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Quantitative Approaches to Comparing Communication Patterns on Twitter
Citation: 159
Authors: Axel, Stefan
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Online Counseling and Therapy for Mental Health Problems: A Systematic Review of Individual Synchronous Interventions Using Chat
Citation: 124
Authors: Mitchell, Debra
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The Use of Computerized Self-Help Packages to Treat Adolescent Depression and Anxiety
Citation: 111
Authors: Suvena, Andrew J., Louise A.
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The Open Laboratory: Limits and Possibilities of Using Facebook, Twitter, and YouTube as a Research Data Source
Citation: 94
Authors: Fabio, Luca, Davide
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A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data*
Citation: 93
Authors: Maria Y., Heather
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Development of a New Approach to Guided Self-Help via the Internet: The Swedish Experience
Citation: 88
Authors: Gerhard, Jan, Monica, Per, Fredrik, Viktor, Elisabeth, Björn, Lars, Johan