Replace ACM Transactions on Computer-Human Interaction with:
ACM Transactions on Computer-Human InteractionUnited States
Journal of Computer-Mediated CommunicationUnited States
Journal of Experimental Psychology AppliedUnited States
Computer Supported Cooperative Work (CSCW)United States
User Modeling and User-Adapted InteractionUnited States
Journal of the Learning SciencesUnited States
Design IssuesUnited States
Media PsychologyUnited States
Journal of Interactive MarketingUnited States
Cognition and InstructionUnited States
ACM Transactions on Computer-Human InteractionUnited StatesView profile →
Citations per field, relative to Human-Computer Interaction
Human-Computer Interaction · 1×
×1.321.5kHI
×0.65.7kSP
×0.96.7kAI
×1.38.8kCVPR
×1.27.8kSPS
Citations per year, relative to Human-Computer Interaction
Human-Computer Interaction · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Human-Computer Interaction
Since
Specialization
Citations
This map shows the geographic impact of research published in Human-Computer Interaction. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Human-Computer Interaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Human-Computer Interaction more than expected).
Fields of papers published in Human-Computer Interaction
This network shows the impact of papers published in Human-Computer Interaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Human-Computer Interaction.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.