The International Journal of Crowd Science publishes research on crowd science in all its forms and across disciplines. It aims to facilitate the discovery of fundamental theories in understanding the networked society of human in the loop AI and crowd intelligence, and to explore related technologies and new ways of developing and harnessing crowd intelligence.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Business, Management and Accounting (miscellaneous)Q2
Computer Science (miscellaneous)Q2
Decision Sciences (miscellaneous)Q2
Subject Classification
Scopus Categories
Computer Science (miscellaneous)Decision Sciences (miscellaneous)Business, Management and Accounting (miscellaneous)
Research Topics (OpenAlex)
Complex Network Analysis TechniquesMobile Crowdsensing and CrowdsourcingOpinion Dynamics and Social InfluenceBlockchain Technology Applications and SecurityOpen Source Software InnovationsTopic ModelingIoT and Edge/Fog ComputingDigital Marketing and Social MediaEvolutionary Game Theory and CooperationDigital Platforms and Economics