Social Science Computer Review

Aims & Scope

Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology.

Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists.

Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review.

The journal is of direct relevance to scholars and scientists in a wide variety of disciplines.

In its pages you'll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.7
2024	3.00

SJR (SCImago Journal Rank)

Year	Value
2024	1.374

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	96

Journal Rank

Year	Value
2024	2795

Journal Citation Indicator

Year	Value
2024	1595

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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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.

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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.

• An Algorithm for Fast Recovery of Sparse Causal Graphs

  Citation: 587

  Authors: Peter, Clark

• The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication

  Citation: 529

  Authors: Joseph B., Kyle P.

• Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital

  Citation: 439

  Authors: Mengwei, Louis

• Exploring the Relationships Between Different Types of Facebook Use, Perceived Online Social Support, and Adolescents’ Depressed Mood

  Citation: 372

  Authors: Eline, Steven

• Understanding Internet Usage

  Citation: 337

  Authors: Robert, Dana, Matthew S.

• Web Surveys

  Citation: 335

  Authors: Scott D., Mick P., Mark J.

• The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students

  Citation: 334

  Authors: Nazir S., Maya

• The Revolution Will be Networked

  Citation: 329

  Authors: Weiwu, Thomas J., Trent, Shannon L.

• Survey Measures of Web-Oriented Digital Literacy

  Citation: 310

  Authors: Eszter

• Election Forecasts With Twitter

  Citation: 307

  Authors: Andranik, Timm O., Philipp G., Isabell M.

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