World's Best Scientists 2026 revealed!
Social Science Computer Review
H-index 23

Social Science Computer Review

0894-4393

Published by: SAGE

http://ssc.sagepub.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Social Sciences and Humanities 260 25 36 14

Additional Metrics

Number of Best Scientists*: 90
Documents by Best Scientists*: 100
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 96
SCIMAGO SJR: 1.374
Impact Factor: 2.7

Overview

Top Research Topics at Social Science Computer Review?

The objective of the journal is to combine knowledge in the areas of The Internet, Public relations, World Wide Web, Social psychology and Politics. It explores issues in The Internet which can be linked to other research areas like Advertising and Internet privacy. Topics in Public relations explored in Social Science Computer Review were investigated in conjunction with research in Government and Information technology.

World Wide Web research discussed connects with the study of Software. It connects the study in Politics with the closely related area of Social media.

  • The Internet (16.15%)
  • Public relations (12.27%)
  • World Wide Web (11.04%)

What are the most cited papers published in the journal?

  • The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication: (567 citations)
  • An Algorithm for Fast Recovery of Sparse Causal Graphs (486 citations)
  • Web surveys: perceptions of burden (479 citations)

Research areas of the most cited articles at Social Science Computer Review:

The most cited articles tackle a plethora of topics, such as The Internet, Public relations, Social psychology, World Wide Web and Advertising. The The Internet research presented in the most cited papers also delves into studies in intersecting subjects like

  • Context (language use) together with Social network,
  • Survey data collection and related Marketing.. The most cited articles explore topics in Public relations which can be helpful for research in disciplines like Democracy, Ideology, Politics, Government and Social engagement.

What topics the last edition of the journal is best known for?

  • Law
  • The Internet
  • Statistics

The previous edition focused in particular on these issues:

The primary areas of discussion in Social Science Computer Review are Social media, Media studies, Data science, Internet privacy and Public relations. Social media research presented in it encompasses a variety of subjects, including Social psychology, Perspective (graphical), Advertising and Politics. It focuses on Social psychology as well as the interrelated topic of Addiction.

In addition to Politics research, Social Science Computer Review aims to explore topics under Gender studies, The Internet and Political economy. The featured Data science works encompass concepts such as Computational sociology and examines them in conjunction with Survey research. The study on Public relations presented is investigated in conjunction with research in Civic engagement.

The most cited articles from the last journal are:

  • Twitter, Incivility and “Everyday” Gendered Othering: An Analysis of Tweets Sent to UK Members of Parliament (22 citations)
  • Disrupted Daily Activities From Interruptive Smartphone Notifications: Relations With Depression and Anxiety Severity and the Mediating Role of Boredom Proneness: (13 citations)
  • From Use to Overuse: Digital Inequality in the Age of Communication Abundance: (13 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Social Science Computer Review (based on the number of publications) are:

  • G. David Garson (34 papers) absent at the last edition,
  • Carl Grafton (23 papers) absent at the last edition,
  • Mick P. Couper (22 papers) absent at the last edition,
  • Edwin H. Carpenter (15 papers) absent at the last edition,
  • Ronald E. Anderson (14 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Social Science Computer Review (based on the number of publications) are:

  • University of Michigan (40 papers) published 2 papers at the last edition, 5 less than at the previous edition,
  • University of Mannheim (28 papers) published 6 papers at the last edition, 1 less than at the previous edition,
  • Leibniz Association (24 papers) published 6 papers at the last edition the same number as at the previous edition,
  • North Carolina State University (22 papers) published 1 paper at the last edition,
  • University of Maryland, College Park (22 papers) published 3 papers at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.53% of all publications and 63.16% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Pathway in Social Sciences Research

A career in social sciences research, such as the work published in the Social Science Computer Review, requires a combination of academic qualificaitons and professional certification. It is important to pursue a relevant educational pathway. Once you have achieved an advanced degree in your chosen field, the next step is to attain licensure. For instance, in Alaska, becoming a licensed counselor entails a clear set of requirements. The route usually includes earning a master's degree in counseling or a related field, amassing a sufficient number of supervised hours in practice, and passing a standardized examination. You can learn more about the specifics of this process by visiting this comprehensive guide on Getting counseling license in Alaska. As a licensed professional in social sciences, you may further specialise in the areas of The Internet, Public relations, World Wide Web, Social psychology and Politics or any other topic covered in Social Science Computer Review that aligns with your career interests. You can contribute to the journal by not only offering fresh perspectives in these areas, but also delivering new insights on how these disciplines intersect with other research fields such as Advertising and Internet privacy. Employment in social sciences research can be pursued in various settings such as universities, research institutions, and government agencies. These professionals also have the opportunity to impact policy-making through their evidence-based research, making a significant contribution to society at large. Professional development and continued education are important for staying relevant in this ever-evolving field.

Top Publications

  • Potential Biases in Big Data: Omitted Voices on Social Media:

    Eszter Hargittai

    (2020)
    208 Citations
  • Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent:

    Frauke Kreuter;Frauke Kreuter;Frauke Kreuter;Georg-Christoph Haas;Georg-Christoph Haas;Florian Keusch;Sebastian Bähr

    (2020)
    149 Citations
  • New data sources in social science research: Things to know before working with Reddit data

    Ashley Elaine Amaya;Ruben Bach;Florian Keusch;Frauke Kreuter;Frauke Kreuter

    (2021)
    99 Citations
  • Will Algorithms Blind People? The Effect of Explainable AI and Decision-Makers’ Experience on AI-supported Decision-Making in Government

    Marijn Janssen;Martijn Hartog;Ricardo Matheus;Aaron Yi Ding

    (2020)
    98 Citations
  • Analyzing Citizen Participation and Engagement in European Smart Cities

    María E. Cortés-Cediel;Iván Cantador;Manuel Pedro Rodríguez Bolívar

    (2021)
    89 Citations
  • Social Norms and the Dynamics of Online Incivility

    Yotam Shmargad;Kevin Coe;Kate Kenski;Stephen A. Rains

    (2021)
    68 Citations
  • Mobile Phones Will Not Eliminate Digital and Social Divides: How Variation in Internet Activities Mediates the Relationship Between Type of Internet Access and Local Social Capital in Detroit:

    Bianca C. Reisdorf;Laleah Fernandez;Keith N. Hampton;Inyoung Shin

    (2020)
    60 Citations
  • #MeToo, Networked Acknowledgment, and Connective Action: How “Empowerment Through Empathy” Launched a Social Movement:

    Jiyoun Suk;Aman Abhishek;Yini Zhang;So Yun Ahn

    (2021)
    55 Citations
  • Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies:

    Tarek Al Baghal;Luke Sloan;Curtis Jessop;Matthew L. Williams

    (2020)
    48 Citations
  • Testing the Use of Voice Input in a Smartphone Web Survey

    Melanie Revilla;Mick P. Couper;Oriol J. Bosch;Marc Asensio

    (2020)
    34 Citations

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Best Scientists Contributing to This Journal

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