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Social Science Computer Review - SAGE | 2024 Impact Factor:2.7 | Cite Score:9.9 | Q1

Social Science Computer Review Journal - SAGE - Impact Factor

Impact Factor and Journal Rank of Social Science Computer Review

  • About: Social Science Computer Review is an interdisciplinary journal that explores social science instructional and research applications of computing, alongside the societal impacts of informational technology. The journal provides a platform for scholars and scientists across various disciplines to explore the intersection of computing technologies and social sciences.
  • Objective: Social Science Computer Review aims to advance understanding and application of computing in social sciences, covering topics such as artificial intelligence, business applications, computational social science theory, computer-assisted survey research, qualitative analysis, computer simulation, economic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, and web resources for social scientists. By fostering interdisciplinary collaboration, the journal seeks to enhance methodologies and insights in sociology, anthropology, political science, economics, psychology, computer literacy, and methodology.
  • Interdisciplinary Focus: Social Science Computer Review embraces an interdisciplinary approach, inviting contributions from social sciences, computer science, information systems, and related fields. It encourages research that leverages computing technologies to address societal challenges, improve research methodologies, and enhance theoretical frameworks across social sciences. The journal emphasizes the integration of advanced computing techniques and tools to facilitate innovative research and practical applications.
  • Global Reach and Impact: With a global readership and diverse contributions, Social Science Computer Review significantly impacts research and practice in social sciences worldwide. The journal publishes innovative research findings, methodologies, and case studies that influence academic discourse, inform policy, and advance computational methodologies in social sciences. Its comprehensive coverage supports the development of informed decision-making processes and policies.
  • High Standards and Rigorous Review: Maintaining high academic standards, Social Science Computer Review employs a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure methodological rigor, scientific accuracy, and originality of contributions. This stringent review process upholds the integrity and credibility of the journal, ensuring that only impactful and authoritative research is published.
  • Significance: Social Science Computer Review serves as a critical resource for scholars, scientists, and practitioners aiming to explore and apply computing technologies in social sciences. By providing a platform for cutting-edge research and practical insights, the journal facilitates the integration of advanced computational techniques to address complex social issues and improve societal outcomes. It supports continuous innovation and knowledge dissemination, contributing to the advancement of both theory and practice in social science research.

  • Editor-in-Chief:  Deana Rohlinger

  • Scope: Social Science Computer Review is an interdisciplinary journal that explores the intersection of social science disciplines with computing technology. It covers social science instructional and research applications of computing, as well as the societal impacts of information technology. The journal is of direct relevance to scholars and scientists across various disciplines, including sociology, anthropology, political science, economics, psychology, and computer science. Here is an overview of its key focus areas and scope:
  • 1. Artificial Intelligence (AI) Applications:
    Research on the use of artificial intelligence and machine learning in social science research and applications.
    Studies on AI-driven data analysis, natural language processing, and AI-based decision support systems.
  • 2. Business and Economic Modeling:
    Computational models and simulations for economic analysis and business decision-making.
    Research on economic forecasting, market analysis, and financial modeling using computational methods.
  • 3. Computational Social Science Theory:
    Theoretical frameworks and methodologies in computational social science.
    Research on network analysis, agent-based modeling, and computational approaches to social phenomena.
  • 4. Computer-Assisted Research Tools:
    Development and evaluation of computer-assisted research tools and methodologies.
    Research on computer-based qualitative analysis, survey research tools, and software applications for social science research.
  • 5. Geographic Information Systems (GIS):
    Applications of GIS and spatial analysis in social science research.
    Research on spatial data analysis, mapping techniques, and geographic visualization.
  • 6. Social Impacts of Computing and Telecommunications:
    Studies on the societal implications of information technology and digital communication.
    Research on digital divide, social media impacts, and ethical considerations in technology use.
  • 7. Methodological Advances:
    Innovations in research methodology integrating computing technologies.
    Research on digital ethnography, online surveys, and mixed-methods approaches in social science research.
  • 8. Software Evaluation and Web Resources:
    Evaluation methodologies for software tools and web-based resources for social scientists.
    Research on usability testing, user experience (UX) design, and evaluation criteria for social science applications.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  08944393

    Electronic ISSN:  15528286

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  2.7

  • Subject Area and Category:  Computer Science,Computer Science Applications,Social Sciences,Law,Library and Information Sciences,Social Sciences (miscellaneous)

  • Publication Frequency:  Bimonthly

  • H Index:  96

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.9

  • SNIP:  2.044

  • Journal Rank(SJR):  1.374