Academic Journal
Quartile not availableProceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP
About Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP
About Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP is a peer-reviewed scholarly journal published by Association for the Advancement of Artificial Intelligence (United States). It focuses on Computer Science.
Key indicators: ISSN 2769-1330, 2769-1349; H-index 20; SJR 0.281; - quartile.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (20): 20 articles have each received at least 20 citations, indicating growing recognition.
- SJR (0.281): SCImago Journal Rank weights citations by the prestige of citing journals. Compare within the specific subject category for meaningful interpretation.
- Quartile (-): Ranked - among journals in its subject category — position relative to category peers.
Publishing in Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Scope fit: Confirm your research aligns with Computer Science. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP?
2769-1330, 2769-1349.
Who publishes Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP?
Association for the Advancement of Artificial Intelligence.
What are Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP's metrics?
H-index 20.
Is Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Journal Metrics
A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Responsible Crowdsourcing for Responsible Generative AI: Engaging Crowds in AI Auditing and Evaluation
Wesley Hanwen Deng, Mireia Yurrita, Mark Díaz, Jina Suh et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31609Estimating Contribution Quality in Online Deliberations Using a Large Language Model
Lodewijk Gelauff, Mohak Goyal, Bhargav Dindukurthi, Ashish Goel et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31601Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making
Zhuoran Lu, Syed Hasan Amin Mahmoo, Zhuoyan Li, Ming Yin et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31604PACE: Participatory AI for Community Engagement
Saad Hassan, Syeda Mah Noor Asad, Motahhare Eslami, Nicholas Mattei et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31610Assessing Educational Quality: Comparative Analysis of Crowdsourced, Expert, and AI-Driven Rubric Applications
Steven Moore, Norman Bier, John Stamper
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31606Utility-Oriented Knowledge Graph Accuracy Estimation with Limited Annotations: A Case Study on DBpedia
Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31605Atlas of AI Risks: Enhancing Public Understanding of AI Risks
Edyta Bogucka, Sanja Šćepanović, Daniele Quercia
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31598Toward Context-Aware Privacy Enhancing Technologies for Online Self-Disclosure
Tingting Du, Jiyoon Kim, Anna Squicciarini, Sarah Rajtmajer et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31599User Profiling in Human-AI Design: An Empirical Case Study of Anchoring Bias, Individual Differences, and AI Attitudes
Mahsan Nourani, Amal Hashky, Eric D. Ragan
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31608Disclosures & Disclaimers: Investigating the Impact of Transparency Disclosures and Reliability Disclaimers on Learner-LLM Interactions
Jessica Y. Bo, Harsh Kumar, Michael Liut, Ashton Anderson et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31597Human Computation, Equitable, and Innovative Future of Work AI Tools
Kashif Imteyaz, Claudia Flores Saviaga, Saiph Savage
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31611Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning
Thuy Ngoc Nguyen, Kasturi Jamale, Cleotilde Gonzalez
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31607Unveiling the Inter-Related Preferences of Crowdworkers: Implications for Personalized and Flexible Platform Design
Senjuti Dutta, Rhema Linder, Alex C. Williams, Anastasia Kuzminykh et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31600An Exploratory Study of the Impact of Task Selection Strategies on Worker Performance in Crowdsourcing Microtasks
Huda Banuqitah, Mark Dunlop, Maysoon Abulkhair, Sotirios Terzis et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31595Investigating What Factors Influence Users’ Rating of Harmful Algorithmic Bias and Discrimination
Sara Kingsley, Jiayin Zhi, Wesley Hanwen Deng, Jaimie Lee et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31602“Hi. I’m Molly, Your Virtual Interviewer!” Exploring the Impact of Race and Gender in AI-Powered Virtual Interview Experiences
Shreyan Biswas, Ji-Youn Jung, Abhishek Unnam, Kuldeep Yadav et al.
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31596Combining Human and AI Strengths in Object Counting under Information Asymmetry
Songyu Liu, Mark Steyvers
2024-10-14 · DOI: 10.1609/hcomp.v12i1.31603A Cluster-Aware Transfer Learning for Bayesian Optimization of Personalized Preference Models
Haruto Yamasaki, Masaki Matsubara, Hiroyoshi Ito, Yuta Nambu et al.
2023-11-03 · DOI: 10.1609/hcomp.v11i1.27558Accounting for Transfer of Learning Using Human Behavior Models
Tyler Malloy, Yinuo Du, Fei Fang, Cleotilde Gonzalez et al.
2023-11-03 · DOI: 10.1609/hcomp.v11i1.27553Humans Forgo Reward to Instill Fairness into AI
Lauren S. Treiman, Chien-Ju Ho, Wouter Kool
2023-11-03 · DOI: 10.1609/hcomp.v11i1.27556Reviews
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Version History
October 11, 2026 at 2:57 pm
October 10, 2026